Qwen3.8 Flash
No extra published tiers, cache components, Batch rates, or time-based rates are listed.
Qwen3.8 Flash vs GPT-6 Luna API Pricing
Compare verified published API prices for Qwen3.8 Flash and GPT-6 Luna. This page compares price, not output quality.
Verified Oct 28, 2026, Qwen3.8 Flash lists input at $0.15 and output at $0.47 per 1M tokens, while GPT-6 Luna lists $0.10 input and $0.50 output. GPT-6 Luna is 33.3% cheaper for input, while Qwen3.8 Flash is 6% cheaper for output; costs meet at 0.6 input tokens per output token, and this does not compare output quality.
| Model | Input $/1M | Cached input $/1M | Output $/1M | Source | Last verified How we verify |
|---|---|---|---|---|---|
| Qwen3.8 Flash | $0.15 | $0.016 | $0.47 | Official source | Oct 28, 2026 |
| GPT-6 Luna | $0.10 | $0.01 | $0.50 | Official source | Oct 21, 2026 |
Prices from official provider pages, verified on the date shown.
Published rates
Side-by-side API pricing
| Field | Qwen3.8 Flash | GPT-6 Luna |
|---|---|---|
| Provider | Alibaba | OpenAI |
| Input / 1M | $0.15 | $0.10 |
| Cached input / 1M | $0.016 | $0.01 |
| Output / 1M | $0.47 | $0.50 |
| Batch input / 1M | Not listed | $0.05 |
| Batch output / 1M | Not listed | $0.25 |
| Context window | 1M | 1050K |
| Release date | Not listed | Sep 22, 2026 |
| Official source How we verify | Alibaba pricing ↗ | OpenAI pricing ↗ |
Standard token prices
Which is cheaper depends on your input:output ratio
Costs below allocate 1M total tokens across each input:output ratio. They use standard prices only, without cache or Batch discounts.
| Input:output ratio | Qwen3.8 Flash | GPT-6 Luna | Cheaper published price |
|---|---|---|---|
| 10:1 (RAG / long context) | $0.179 | $0.136 | GPT-6 Luna by 23.9% |
| 3:1 (chat) | $0.23 | $0.20 | GPT-6 Luna by 13% |
| 1:1 | $0.31 | $0.30 | GPT-6 Luna by 3.2% |
| 1:3 (long generation) | $0.39 | $0.40 | Qwen3.8 Flash by 2.5% |
The standard prices break even at exactly 0.6 input tokens per output token. On either side of that mix, the model with the lower weighted list price changes.
Computed examples
Monthly cost for real workloads
| Workload | Assumed volume | Qwen3.8 Flash | GPT-6 Luna | Difference |
|---|---|---|---|---|
| Side project | 10,000 requests/month | $2.61 | $2.30 | GPT-6 Luna by $0.31 (11.9%) |
| Customer support chatbot | 10,000 conversations/month | $23.32 | $17.57 | GPT-6 Luna by $5.76 (24.7%) |
| Agent task | 1,000 tasks/month | $3.30 | $2.80 | GPT-6 Luna by $0.504 (15.3%) |
Assumptions
- Side project: 10,000 requests per month, with 800 input and 300 output tokens per request.
- Customer support chatbot: 10,000 conversations, with 6 replies per conversation, 600 system tokens, 90 user-message tokens, 1,000 retrieved-context tokens, 180 output tokens per reply, and 50% history carry.
- Agent task: 1,000 tasks, with 8 calls per task and 1,500 input plus 400 output tokens per call.
- All three rows use standard non-cached, non-batch prices and exclude retries, tools, storage, and taxes.
Provider conditions
Pricing rules that can change the answer
GPT-6 Luna
Long-context pricing tiers
| Tier | Input | Cached input | Output |
|---|---|---|---|
| Long context | $0.20 | $0.02 | $0.75 |
| Short context | $0.10 | $0.01 | $0.50 |
Batch API: input $0.05 and output $0.25 per 1M tokens.
Verified changes
Price history
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.
View this update in the price monitorOn Sep 22, 2026, OpenAI replaced GPT-5.6 Luna with GPT-6 Luna: input $0.20 → $0.10 (−50%) and output $1.20 → $0.50 (−58.3%) per 1M tokens.
View this update in the price monitor
Operational costs
Cheaper per token is not always cheaper per task
Retries, failed calls, fallback requests, and longer outputs can raise the cost of completing a task even when the published token price is lower. Model the effect with the LLM Retry & Fallback Cost Calculator, read the cost-per-successful-task guide, or estimate a migration with the Model Switch Cost Calculator.
Primary evidence and next steps
Related
Common questions
Frequently asked questions
Is Qwen3.8 Flash cheaper than GPT-6 Luna?
GPT-6 Luna is 33.3% cheaper on input. Qwen3.8 Flash is 6% cheaper on output. This compares published list prices, not output quality.
How much do Qwen3.8 Flash and GPT-6 Luna cost for 10,000 requests a month?
At 800 input and 300 output tokens per request, Qwen3.8 Flash costs about $2.61 and GPT-6 Luna costs about $2.30 at standard list prices.
Which is cheaper for input-heavy workloads like RAG?
At a 10:1 input-to-output token ratio, Qwen3.8 Flash costs $0.179 and GPT-6 Luna costs $0.136 per 1M total tokens. GPT-6 Luna by 23.9%.
Where do these prices come from?
The prices come from Alibaba and OpenAI official pricing sources, verified on Oct 28, 2026 and Oct 21, 2026, respectively.
See the pricing verification methodology and AI API pricing dataset.