Track verified AI API pricing and model lifecycle updates, with effective and verification dates, migration guidance, and official provider sources.
Quick answer
In November 2026, AICostBudget verified 12 price-relevant API changes across 4 providers. Latest 2: On Nov 5, 2026, OpenAI added GPT-6-Cyber with published input $20.00 and output $100.00 per 1M tokens. First observed on Nov 4, 2026; Amazon Nova did not publish an effective date. Amazon Nova added Nova 2 Lite with published input $0.30 and output $2.50 per 1M tokens. Each entry links to the official source.
Verified updates (all months)
41
Providers with changes (all months)
12
Latest verified
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Future prices the provider has already published, with the date they take effect. Current rates apply until then. They are not counted in the verified updates below until they take effect.
Each record compares trusted snapshots for pricing or model lifecycle changes. Scheduled, effective, detected, and verified dates keep their separate meanings.
On Nov 5, 2026, OpenAI added GPT-6-Cyber with published input $20.00 and output $100.00 per 1M tokens.
Input
BeforeNot listed→After$20.00 / 1M tokens
Cached input
BeforeNot listed→After$2.00 / 1M tokens
Output
BeforeNot listed→After$100.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
OpenAI released GPT-6-Cyber on 2026-11-05 for authorized vulnerability investigation, reproduction and fix verification. Access requires Daybreak Red approval plus additional model approval, enabled per project. The pricing page and model page list only Standard short-context rates; Batch is not supported and no Flex or Fast rows exist. Not listed among the data-residency models, so no regional uplift is recorded. Model page: 1,050,000-token context window, 922,000 max input tokens, 128,000 max output tokens.
First observed on Nov 4, 2026; Amazon Nova did not publish an effective date. Amazon Nova added Nova 2 Lite with published input $0.30 and output $2.50 per 1M tokens.
Input
BeforeNot listed→After$0.30 / 1M tokens
Cached input
BeforeNot listed→After$0.075 / 1M tokens
Output
BeforeNot listed→After$2.50 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Bedrock model ID amazon.nova-2-lite-v1:0 (Global profile global.amazon.nova-2-lite-v1:0). Text, image and video input; text output; 1M-token context, up to 64K output tokens; optional reasoning. Launched December 2, 2025. Web grounding bills $0.03 per request. Available through Geo and Global cross-region profiles only (no single-Region endpoint in us-east-1).
First observed on Nov 4, 2026; Amazon Nova did not publish an effective date. Amazon Nova added Nova Lite with published input $0.06 and output $0.24 per 1M tokens.
Input
BeforeNot listed→After$0.06 / 1M tokens
Cached input
BeforeNot listed→After$0.015 / 1M tokens
Output
BeforeNot listed→After$0.24 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Bedrock model ID amazon.nova-lite-v1:0. Text, image and video input; text output; 300K-token context, up to 10K output tokens. Launched December 5, 2024. No Global cross-region profile.
First observed on Nov 4, 2026; Amazon Nova did not publish an effective date. Amazon Nova added Nova Micro with published input $0.035 and output $0.14 per 1M tokens.
Input
BeforeNot listed→After$0.035 / 1M tokens
Cached input
BeforeNot listed→After$0.00875 / 1M tokens
Output
BeforeNot listed→After$0.14 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Bedrock model ID amazon.nova-micro-v1:0. Text-only model; 128K-token context, up to 10K output tokens. Launched December 5, 2024. No Global cross-region profile.
First observed on Nov 4, 2026; Amazon Nova did not publish an effective date. Amazon Nova added Nova Pro with published input $0.80 and output $3.20 per 1M tokens.
Input
BeforeNot listed→After$0.80 / 1M tokens
Cached input
BeforeNot listed→After$0.20 / 1M tokens
Output
BeforeNot listed→After$3.20 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Bedrock model ID amazon.nova-pro-v1:0. Text, image and video input; text output; 300K-token context, up to 10K output tokens. Launched December 5, 2024. No Global cross-region profile.
First observed on Nov 4, 2026; Perplexity did not publish an effective date. Perplexity added Sonar with published input $0.25 and output $2.50 per 1M tokens.
Input
BeforeNot listed→After$0.25 / 1M tokens
Cached input
BeforeNot listed→After$0.0625 / 1M tokens
Output
BeforeNot listed→After$2.50 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official Agent API model ID perplexity/sonar. Search-grounded answers with citations. Sonar Pro, Sonar Reasoning Pro and Sonar Deep Research are no longer listed after the September 27, 2026 Chat Completions retirement. Perplexity does not publish a context window or maximum output length for Sonar in the Agent API docs; unknown values are not represented as zero.
First observed on Nov 4, 2026; Z.ai (Zhipu) did not publish an effective date. Z.ai (Zhipu) added GLM-4.7 with published input $0.60 and output $2.20 per 1M tokens.
Input
BeforeNot listed→After$0.60 / 1M tokens
Cached input
BeforeNot listed→After$0.11 / 1M tokens
Output
BeforeNot listed→After$2.20 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID glm-4.7. Text model with a 200K-token context window and up to 128K output tokens. Z.ai does not publish a release date or Batch rate in its API pricing; unknown values are not represented as zero.
First observed on Nov 4, 2026; Z.ai (Zhipu) did not publish an effective date. Z.ai (Zhipu) added GLM-5 with published input $1.00 and output $3.20 per 1M tokens.
Input
BeforeNot listed→After$1.00 / 1M tokens
Cached input
BeforeNot listed→After$0.20 / 1M tokens
Output
BeforeNot listed→After$3.20 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID glm-5. Text model with a 200K-token context window and up to 128K output tokens. Z.ai does not publish a release date or Batch rate in its API pricing; unknown values are not represented as zero.
First observed on Nov 4, 2026; Z.ai (Zhipu) did not publish an effective date. Z.ai (Zhipu) added GLM-5.2 with published input $1.40 and output $4.40 per 1M tokens.
Input
BeforeNot listed→After$1.40 / 1M tokens
Cached input
BeforeNot listed→After$0.26 / 1M tokens
Output
BeforeNot listed→After$4.40 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID glm-5.2. Previous flagship, same base model as GLM-5.3 and the same price. 1M-token context, up to 128K output tokens. Z.ai does not publish a release date or Batch rate in its API pricing; unknown values are not represented as zero.
First observed on Nov 4, 2026; Z.ai (Zhipu) did not publish an effective date. Z.ai (Zhipu) added GLM-5.3-Flash with published input $0.15 and output $0.50 per 1M tokens.
Input
BeforeNot listed→After$0.15 / 1M tokens
Cached input
BeforeNot listed→After$0.03 / 1M tokens
Output
BeforeNot listed→After$0.50 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID glm-5.3-flash. Low-cost multimodal model: text, image, video and file input; text output; 1M-token context, up to 128K output tokens. Z.ai does not publish a release date or Batch rate in its API pricing; unknown values are not represented as zero.
First observed on Nov 4, 2026; Z.ai (Zhipu) did not publish an effective date. Z.ai (Zhipu) added GLM-5.3-FlashX with published input $0.37 and output $1.25 per 1M tokens.
Input
BeforeNot listed→After$0.37 / 1M tokens
Cached input
BeforeNot listed→After$0.075 / 1M tokens
Output
BeforeNot listed→After$1.25 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID glm-5.3-flashx. Faster serving of GLM-5.3-Flash (about 200 tokens/s per Z.ai). Text, image, video and file input; 1M-token context, up to 128K output tokens. Z.ai does not publish a release date or Batch rate in its API pricing; unknown values are not represented as zero.
First observed on Nov 4, 2026; Z.ai (Zhipu) did not publish an effective date. Z.ai (Zhipu) added GLM-5.3 with published input $1.40 and output $4.40 per 1M tokens.
Input
BeforeNot listed→After$1.40 / 1M tokens
Cached input
BeforeNot listed→After$0.26 / 1M tokens
Output
BeforeNot listed→After$4.40 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID glm-5.3. Flagship model. Text input only, 1M-token context, up to 128K output tokens. Reasoning is always on (effort low, high or max). Z.ai does not publish a release date or Batch rate in its API pricing; unknown values are not represented as zero.
First observed on Oct 31, 2026; Mistral AI did not publish an effective date. Mistral Large 4 changed input $1.36 → $0.70 (−48.5%) and output $4.18 → $2.10 (−49.8%) per 1M tokens.
Input
Before$1.36 / 1M tokens→After$0.70 / 1M tokens
Cached input
Before$0.14 / 1M tokens→After$0.07 / 1M tokens
Output
Before$4.18 / 1M tokens→After$2.10 / 1M tokens
Details
Effective date was not published by the provider in the source used for this event.
On Oct 30, 2026, OpenAI added GPT-6 Rosalind with published input $15.00 and output $75.00 per 1M tokens.
Input
BeforeNot listed→After$15.00 / 1M tokens
Cached input
BeforeNot listed→After$1.50 / 1M tokens
Output
BeforeNot listed→After$75.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
OpenAI released GPT-6 Rosalind on 2026-10-30 as a life sciences model. Access is limited to organizations approved for Rosalind Research through OpenAI's trusted-access program, for internal research by authorized users. The pricing page lists only Standard short- and long-context rates (no Batch, Flex, Fast or Priority rows); short context is 272K input tokens or fewer, per OpenAI's short/long context definition. Rosalind is not listed among the data-residency models, so no regional uplift is recorded. OpenAI publishes no model page or context window for it.
First observed on Oct 28, 2026; Alibaba Qwen did not publish an effective date. Alibaba Qwen added Qwen Flash with published input $0.05 and output $0.40 per 1M tokens.
Input
BeforeNot listed→After$0.05 / 1M tokens
Cached input
BeforeNot listed→After$0.01 / 1M tokens
Output
BeforeNot listed→After$0.40 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID qwen-flash, currently equivalent to snapshot qwen-flash-2025-07-28. Text-only; 1,000,000-token context window, maximum input 997,952 tokens and maximum output 32,768 tokens. Pricing is tiered by input tokens per request: up to 256K, and 256K to 1M; the tier applies to every token in the request. The model page lists batch-file rates for Singapore but also marks batch inference as unsupported there, so no batch price is represented. Prices are USD list prices for the International (Singapore) scope; the official model page states that it shows original prices excluding limited-time promotions.
First observed on Oct 28, 2026; Alibaba Qwen did not publish an effective date. Alibaba Qwen added Qwen3.7 Plus with published input $0.40 and output $1.60 per 1M tokens.
Input
BeforeNot listed→After$0.40 / 1M tokens
Cached input
BeforeNot listed→After$0.08 / 1M tokens
Output
BeforeNot listed→After$1.60 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID qwen3.7-plus, currently equivalent to snapshot qwen3.7-plus-2026-05-26. 1,000,000-token context window; maximum input 991,808 tokens (983,616 in thinking mode) and maximum output 131,072 tokens. Pricing is tiered by input tokens per request: up to 256K, and 256K to 1M; the tier applies to every token in the request. Rows store list prices. The official pricing page marks the qwen3.7-plus alias with a limited-time 20% discount and no published end date; the dated snapshot carries no discount. No International batch rate is published. Prices are USD list prices for the International (Singapore) scope; the official model page states that it shows original prices excluding limited-time promotions.
First observed on Oct 28, 2026; Alibaba Qwen did not publish an effective date. Alibaba Qwen added Qwen3.8 Flash with published input $0.15 and output $0.47 per 1M tokens.
Input
BeforeNot listed→After$0.15 / 1M tokens
Cached input
BeforeNot listed→After$0.016 / 1M tokens
Output
BeforeNot listed→After$0.47 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID qwen3.8-flash. 1,000,000-token context window; maximum input 991,808 tokens (983,616 in thinking mode) and maximum output 131,072 tokens. One untiered rate covers thinking and non-thinking modes. Implicit cache hits and explicit cache reads cost $0.016 per 1M tokens; explicit cache creation costs $0.20 (5-minute TTL). Batch inference is not supported in the International scope. Prices are USD list prices for the International (Singapore) scope; the official model page states that it shows original prices excluding limited-time promotions.
First observed on Oct 28, 2026; Alibaba Qwen did not publish an effective date. Alibaba Qwen added Qwen3.8 Max with published input $2.00 and output $6.00 per 1M tokens.
Input
BeforeNot listed→After$2.00 / 1M tokens
Cached input
BeforeNot listed→After$0.25 / 1M tokens
Output
BeforeNot listed→After$6.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID qwen3.8-max (snapshot qwen3.8-max-0902, alias qwen3.8-max-2026-09-02). 1,000,000-token context window; maximum input 991,808 tokens (983,616 in thinking mode) and maximum output 131,072 tokens in both modes. One untiered rate covers thinking and non-thinking modes. Implicit cache hits cost $0.25 per 1M tokens; explicit cache creation costs $2.50 and explicit cache reads $0.17 (5-minute TTL). Batch inference is not supported in the International scope. Prices are USD list prices for the International (Singapore) scope; the official model page states that it shows original prices excluding limited-time promotions.
First observed on Oct 28, 2026; Meta did not publish an effective date. Meta added Muse Spark 1.3 with published input $1.25 and output $4.25 per 1M tokens.
Input
BeforeNot listed→After$1.25 / 1M tokens
Cached input
BeforeNot listed→After$0.15 / 1M tokens
Output
BeforeNot listed→After$4.25 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID muse-spark-1.3, the latest Muse Spark version and Meta's recommendation for new work. Text, image, video, audio and PDF input; text output; 1,048,576-token context window. Muse Spark 1.2 and 1.1 remain available at the same Standard price and are not listed separately. Contributor-mode variants trade training use of your content for a lower price and are noted, not listed as separate rows. Availability varies by country under Meta's Geographic Use Policy (restricted territories excluded). Meta does not publish a maximum output length, Batch rate or release date in the API docs; unknown values are not represented as zero.
First observed on Oct 28, 2026; Meta did not publish an effective date. Meta added Muse Wonder 1.0 with published input $4.00 and output $20.00 per 1M tokens.
Input
BeforeNot listed→After$4.00 / 1M tokens
Cached input
BeforeNot listed→After$0.20 / 1M tokens
Output
BeforeNot listed→After$20.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afterpreview
Details
Official API model ID muse-wonder-1.0, in preview. Text, image, video, audio and PDF input; text output; 1,048,576-token context window; reasoning effort from minimal to max. Muse Wonder Full is available only in Muse Code subscriptions, not on Model API. Not currently available in South Korea. Availability varies by country under Meta's Geographic Use Policy (restricted territories excluded). Meta does not publish a maximum output length, Batch rate or release date in the API docs; unknown values are not represented as zero.
On Oct 26, 2026, OpenAI added GPT-6.1 Terra with published input $1.00 and output $5.00 per 1M tokens.
Input
BeforeNot listed→After$1.00 / 1M tokens
Cached input
BeforeNot listed→After$0.05 / 1M tokens
Output
BeforeNot listed→After$5.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Released 2026-10-26 through the Responses and Chat Completions APIs. The official model contract has a 1,050,000-token context window and 128,000 max output tokens, with text and image input and text output. Official absolute input, cached-input, cache-write, and output rates are stored for Standard, Batch, Flex, and Fast processing across both sides of the strict greater-than 272,000 input-token boundary. Regional processing uses the official 10% uplift. Global processing plus US and EU data residency are supported, including Fast mode with EU data residency. Ultrafast is not offered for this model.
First observed on Oct 24, 2026; Moonshot AI did not publish an effective date. Moonshot AI added Kimi K3.1 Pro Highspeed with published input $4.00 and output $20.00 per 1M tokens.
Input
BeforeNot listed→After$4.00 / 1M tokens
Cached input
BeforeNot listed→After$0.20 / 1M tokens
Output
BeforeNot listed→After$20.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID kimi-k3.1-pro-highspeed, the high-speed variant of Kimi K3.1 Pro released 2026-10-23, with the same capabilities at about 2-3x the output speed and a 1,048,576-token context window. Cache writes cost $4 per 1M tokens for the default 5-minute TTL and $8 for the 1-hour TTL; cache hits cost $0.20, the same as K3.1 Pro. The official docs do not publish a separate reasoning-token rate, a Batch rate, or a verified maximum completion limit; unknown values are not represented as zero.
First observed on Oct 24, 2026; Moonshot AI did not publish an effective date. Moonshot AI added Kimi K3.1 Pro with published input $2.00 and output $10.00 per 1M tokens.
Input
BeforeNot listed→After$2.00 / 1M tokens
Cached input
BeforeNot listed→After$0.20 / 1M tokens
Output
BeforeNot listed→After$10.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Official API model ID kimi-k3.1-pro, the first K3.1-series model, released 2026-10-23. It has a 1,048,576-token context window, text/image/video input, tool calling, always-on reasoning, and low/high/max reasoning_effort with max as default. Cache writes cost $2 per 1M tokens for the default 5-minute TTL and $4 for the 1-hour TTL; cache hits cost $0.20. The official docs do not publish a separate reasoning-token rate, a K3.1 Pro Batch rate, or a verified maximum completion limit; unknown values are not represented as zero.
First observed on Oct 21, 2026; Mistral AI did not publish an effective date. Mistral Large 4 changed input $0.68 → $1.36 (+100%) and output $2.09 → $4.18 (+100%) per 1M tokens.
Input
Before$0.68 / 1M tokens→After$1.36 / 1M tokens
Cached input
Before$0.07 / 1M tokens→After$0.14 / 1M tokens
Output
Before$2.09 / 1M tokens→After$4.18 / 1M tokens
Details
Effective date was not published by the provider in the source used for this event.
On Oct 13, 2026, Google Gemini added Gemini 4 Argon with published input $2.00 and output $10.00 per 1M tokens.
Input
BeforeNot listed→After$2.00 / 1M tokens
Cached input
BeforeNot listed→After$0.10 / 1M tokens
Output
BeforeNot listed→After$10.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Generally available and stable since 2026-10-13. The 1,048,576-token unified context window supports a default synchronous maximum output of 65,536 tokens and Long Decode up to the full context limit. Only implicit caching is supported; explicit caching is not supported, and cache hits are priced 95% below input. Thinking tokens are billed as output. No Free Tier is available. Grounding is priced separately and is excluded from token prices. Introductory prices apply through 2026-11-30; higher prices take effect on 2026-12-01.
On Oct 7, 2026, Anthropic added Claude Haiku 5.5 with published input $0.10 and output $0.50 per 1M tokens.
Input
BeforeNot listed→After$0.10 / 1M tokens
Cached input
BeforeNot listed→After$0.01 / 1M tokens
Output
BeforeNot listed→After$0.50 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Active (latest), released 2026-10-07; max output 128000 tokens. Prompt <=100000 uses short prices; >100000 uses long prices for the whole request. All input tokens including cache reads and writes count toward the threshold. Batch input/output use published 50% discount; no Batch cache components asserted.
On Oct 6, 2026, Google Gemini added Gemini Nano Banana 2.1 with published input $1.50 and output $7.50 per 1M tokens.
Input
BeforeNot listed→After$1.50 / 1M tokens
Output
BeforeNot listed→After$7.50 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Stable, released 2026-10-06. Inputs: text, image, video, PDF; outputs: text and image. Max output 32768 tokens. Batch supported; caching, Flex and Priority unsupported. V1 output is text/thinking compatibility only; image output has a distinct structured price. Grounding fees are outside this token contract.
On Oct 6, 2026, Mistral AI added Mistral Large 4 with published input $0.68 and output $2.09 per 1M tokens.
Input
BeforeNot listed→After$0.68 / 1M tokens
Cached input
BeforeNot listed→After$0.07 / 1M tokens
Output
BeforeNot listed→After$2.09 / 1M tokens
Lifecycle status
BeforeNot listed→Afterpreview
Details
Public Preview. Launch pricing: 50% off for 2 weeks. Standard list prices retained separately. No official absolute promotion end date asserted; current launch quote is verified as of 2026-10-09T12:36:29Z. Open weights coming soon, not currently asserted as downloadable. No predecessor/successor relationship asserted.
On Sep 29, 2026, OpenAI added GPT-6.1 Sol with published input $2.00 and output $10.00 per 1M tokens.
Input
BeforeNot listed→After$2.00 / 1M tokens
Cached input
BeforeNot listed→After$0.10 / 1M tokens
Output
BeforeNot listed→After$10.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Released 2026-09-29. The official model contract has a 1,050,000-token context window and 128,000 max output tokens. Official absolute input, cached-input, cache-write, and output rates are stored for Standard, Batch, Flex, and Fast processing across both sides of the strict greater-than 272,000 input-token boundary. Regional processing uses the official 10% uplift. US and EU data residency support Standard, Batch, and Flex; Fast is unavailable with EU data residency.
On Sep 28, 2026, Anthropic added Claude Sonnet 5.5 with published input $2.00 and output $10.00 per 1M tokens.
Input
BeforeNot listed→After$2.00 / 1M tokens
Cached input
BeforeNot listed→After$0.20 / 1M tokens
Output
BeforeNot listed→After$10.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Released 2026-09-28 and listed as Active (latest), with retirement not sooner than 2027-09-28. Standard global Claude API pricing is $2 input, $0.20 cache read, $2.50 5-minute cache write, $4 1-hour cache write, and $10 output per 1M tokens. Batch input and output are 50% of Standard. The full 1M context window uses the same token rates. Regional and partner-cloud pricing differences are outside this global-base record.
Official workload-level claim: Anthropic says typical Claude Opus 5.5 workloads cost about 40% less than Claude Opus 5 through lower token prices and lower token usage. Claim source
On Sep 22, 2026, Anthropic replaced Claude Opus 5 with Claude Opus 5.5: input $5.00 → $4.00 (−20%) and output $25.00 → $20.00 (−20%) per 1M tokens.
On Sep 22, 2026, Google Gemini added Gemini 3.8 Flash-Lite TTS with published input $0.50 per 1M tokens.
Input
BeforeNot listed→After$0.50 / 1M tokens
Cached input
BeforeNot listed→After$0.125 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
High-throughput, low-latency, cost-efficient TTS model for conversational voice and production workloads. Stable Gemini API model released 2026-09-22 with no shutdown date announced. Official input and output token limits are 8,192 and 16,384. Supports Caching, Batch API, Flex inference, and Priority inference. Current prices are effective through 2026-12-31; separately stored future records take effect 2027-01-01. Audio output is 25 tokens per second. The legacy V1 output scalar remains null because the published output price is for audio tokens, not text tokens.
On Sep 22, 2026, Google Gemini added Gemini 3.8 Flash TTS with published input $0.50 per 1M tokens.
Input
BeforeNot listed→After$0.50 / 1M tokens
Cached input
BeforeNot listed→After$0.125 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Flagship creative TTS model for studio-grade fidelity, expressive acting, accents, and stable long-form multi-turn speech. Stable Gemini API model released 2026-09-22 with no shutdown date announced. Official input and output token limits are 8,192 and 16,384. Supports Caching, Batch API, Flex inference, and Priority inference. Current prices are effective through 2026-12-31; separately stored future records take effect 2027-01-01. Audio output is 25 tokens per second. The legacy V1 output scalar remains null because the published output price is for audio tokens, not text tokens.
On Sep 21, 2026, xAI added Grok 4.7 with published input $2.00 and output $6.00 per 1M tokens.
Input
BeforeNot listed→After$2.00 / 1M tokens
Cached input
BeforeNot listed→After$0.50 / 1M tokens
Output
BeforeNot listed→After$6.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
Released on 2026-09-21 and available on the public xAI API. Supports text and image input with text output; reasoning efforts are low, medium, high (default), and xhigh. Global Standard rates use the short tier through 200,000 total prompt tokens and the long tier above 200,000; cached prompt tokens count toward the threshold and the selected tier prices the whole request. Grok 4.7 Fast is twice the Standard token rates but is available only in Cursor and Grok Build, not on the public xAI API, so it is excluded from public pricing rows. Batch API is not supported, no separate cache-write price is published, and the US regional endpoint applies a 1.10x premium to input, cached input, and output tokens, including long-context rates.
On Sep 10, 2026, DeepSeek added DeepSeek V4.1 Flash with published input $0.30 and output $1.20 per 1M tokens.
Input
BeforeNot listed→After$0.30 / 1M tokens
Cached input
BeforeNot listed→After$0.006 / 1M tokens
Output
BeforeNot listed→After$1.20 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
DeepSeek V4.1 Flash was released on 2026-09-10. The official API model name is deepseek-flash and the pricing page identifies the served model version as DeepSeek-V4.1-Flash. V1 compatibility pricing uses the conservative Peak rate. Off-peak is 50% of Peak; Peak hours are 01:00-04:00 and 06:00-10:00 UTC, Monday through Friday. The new rates took effect at 2026-09-10T04:00:00Z.
First observed on Aug 29, 2026; Google Gemini did not publish an effective date. Gemini 3.6 Flash changed input $1.50 → $0.75 (−50%) and output $7.50 → $3.75 (−50%) per 1M tokens.
Input
Before$1.50 / 1M tokens→After$0.75 / 1M tokens
Cached input
Before$0.15 / 1M tokens→After$0.075 / 1M tokens
Output
Before$7.50 / 1M tokens→After$3.75 / 1M tokens
Details
Effective date was not published by the provider in the source used for this event.
First observed on Aug 22, 2026; OpenAI did not publish an effective date. GPT-5.6 Sol changed input $5.00 → $4.00 (−20%) and output $30.00 → $20.00 (−33.3%) per 1M tokens.
Input
Before$5.00 / 1M tokens→After$4.00 / 1M tokens
Cached input
Before$0.50 / 1M tokens→After$0.40 / 1M tokens
Output
Before$30.00 / 1M tokens→After$20.00 / 1M tokens
Details
Effective date was not published by the provider in the source used for this event.
On Aug 7, 2026, OpenAI added GPT-5.6 Cyber with published input $12.50 and output $75.00 per 1M tokens.
Input
BeforeNot listed→After$12.50 / 1M tokens
Cached input
BeforeNot listed→After$1.25 / 1M tokens
Output
BeforeNot listed→After$75.00 / 1M tokens
Lifecycle status
BeforeNot listed→Afteractive
Details
OpenAI released GPT-5.6 Cyber on 2026-08-07 as an alias for purpose-trained cybersecurity models, available to Daybreak Red customers once Daybreak Red is enabled for the requesting project. Responses API only; Batch is not supported and no Flex or Fast rows exist. Not listed among the data-residency models, so no regional uplift is recorded. Model page: 400,000-token context window, 272,000 max input tokens, 128,000 max output tokens.
First observed on Jul 27, 2026; Mistral AI did not publish an effective date. Mistral Large 3 changed input $2.00 → $0.50 (−75%) and output $6.00 → $1.50 (−75%) per 1M tokens.
Input
Before$2.00 / 1M tokens→After$0.50 / 1M tokens
Cached input
BeforeNot listed→After$0.05 / 1M tokens
Output
Before$6.00 / 1M tokens→After$1.50 / 1M tokens
Details
Effective date was not published by the provider in the source used for this event.
A record is created when pricing semantics or a published model lifecycle changes between trusted snapshots. Source URL edits, verification timestamp updates, metadata changes, and reordered files do not create events.
Scheduled
A provider-published future effective date. It becomes Effective when that UTC instant arrives.
Effective
The provider-published effective date. It stays unknown when the official source gives no date.
Detected
The first snapshot date when the repository observed the pricing difference.
Verified
The date the pricing or lifecycle fact was checked against an official provider source.
Monthly impact depends on input and output volume, cached tokens, request volume, routing, retries, and workload shape. Apply the verified new rate to your own assumptions instead of treating a list price change as an invoice forecast. The public change log does not read your bill or create an automatic alert. Calculate the change against your workload, save it in that browser, and reopen it later to recalculate with currently available prices. For a dated OpenAI example, review the monthly OpenAI API pricing change history.
Each event compares trusted pricing snapshots and links to the official provider source used to verify the new price. Verification dates are shown separately from detected and effective dates.
What counts as an AI model pricing change?
A pricing change requires an actual difference in a published pricing component, such as input, cached-input, output, or another explicitly tracked charge. Metadata edits and routine re-verification do not count.
What is the difference between effective, detected, and verified dates?
Effective is the date explicitly published by the provider, detected is when the repository first observed the difference, and verified is when the new price was checked against an official source. An unknown effective date is not inferred from detection.
Does this page monitor my API usage or bill?
No. This page tracks changes to public provider pricing. Your own bill also depends on request volume, token usage, cache behavior, routing, retries, contract terms, and provider billing records.
Where can I compare current AI model prices?
Use the Model Pricing Comparison for current model prices. Use this page to see what changed between verified snapshots, and use the API Cost Calculator to apply a new price to your workload.
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