Mistral AI rows currently focus on official Mistral pricing records available in the projection, including model cost, batch context where exposed by the source notes, and verification metadata.
Choose a current Mistral AI model from the same pricing rows, enter input tokens, output tokens, and request volume, then review the estimated monthly API cost.
Start with realistic input tokens, output tokens, model choice, request volume, and any cached input or batch pricing when listed rules that apply. Then compare the estimate against current model pricing and budget limits before launch.
These records are published separately from token pricing and are excluded from token calculators and the model token-price comparison.
Open a model page for its verified source, workload examples, price history, lifecycle details, and nearby alternatives.
Null or unverified values are displayed as Not listed, never as zero.
| Model | Input | Output | Cached Input | Batch Input | Batch Output | Unit | Status |
|---|---|---|---|---|---|---|---|
CodestralModel ID: codestral-2508Provider: Mistral AIDisplayed pricing: StandardEvidence Verified: Checked: Official sources (4): Official source 1Official source 2Official source 3Official source 4 | Input · USD per 1M input tokens$0.300 | Output · USD per 1M output tokens$0.900 | Cached input · USD per 1M cached input tokens$0.030 | Batch input · USD per 1M input tokens$0.150 | Batch output · USD per 1M output tokens$0.450 | USD per 1M tokens | latestactive |
Ministral 3 14BModel ID: ministral-14b-2512Provider: Mistral AIDisplayed pricing: StandardEvidence | Input · USD per 1M input tokens$0.200 | Output · USD per 1M output tokens$0.200 | Cached input · USD per 1M cached input tokens$0.020 | Batch input · USD per 1M input tokens$0.100 | Batch output · USD per 1M output tokens$0.100 | USD per 1M tokens | latestactive |
Ministral 3 3BModel ID: ministral-3b-2512Provider: Mistral AIDisplayed pricing: StandardEvidence | Input · USD per 1M input tokens$0.100 | Output · USD per 1M output tokens$0.100 | Cached input · USD per 1M cached input tokens$0.010 | Batch input · USD per 1M input tokens$0.050 | Batch output · USD per 1M output tokens$0.050 | USD per 1M tokens | latestactive |
Ministral 3 8BModel ID: ministral-8b-2512Provider: Mistral AIDisplayed pricing: StandardEvidence | Input · USD per 1M input tokens$0.150 | Output · USD per 1M output tokens$0.150 | Cached input · USD per 1M cached input tokens$0.015 | Batch input · USD per 1M input tokens$0.075 | Batch output · USD per 1M output tokens$0.075 | USD per 1M tokens | latestactive |
Mistral Large 3Model ID: mistral-largeProvider: Mistral AIDisplayed pricing: StandardEvidence | Input · USD per 1M input tokens$0.500 | Output · USD per 1M output tokens$1.50 | Cached input · USD per 1M cached input tokens$0.050 | Batch input · USD per 1M input tokens$0.250 | Batch output · USD per 1M output tokens$0.750 | USD per 1M tokens | latestactive |
Mistral Large 4Model ID: mistral-large-4Provider: Mistral AIDisplayed pricing: StandardEvidence | Input · USD per 1M input tokens$0.680 | Output · USD per 1M output tokens$2.09 | Cached input · USD per 1M cached input tokens$0.070 | Batch input · USD per 1M input tokensNot listed | Batch output · USD per 1M output tokensNot listed | USD per 1M tokens | previewpreview |
Mistral Medium 3.5Model ID: mistral-medium-3-5Provider: Mistral AIDisplayed pricing: StandardEvidence | Input · USD per 1M input tokens$1.50 | Output · USD per 1M output tokens$7.50 | Cached input · USD per 1M cached input tokens$0.150 | Batch input · USD per 1M input tokens$0.750 | Batch output · USD per 1M output tokens$3.75 | USD per 1M tokens | latestactive |
Mistral Small 4Model ID: mistral-small-2603Provider: Mistral AIDisplayed pricing: StandardEvidence | Input · USD per 1M input tokens$0.150 | Output · USD per 1M output tokens$0.600 | Cached input · USD per 1M cached input tokens$0.015 | Batch input · USD per 1M input tokens$0.075 | Batch output · USD per 1M output tokens$0.300 | USD per 1M tokens | latestactive |
Use these Mistral AI pricing rows as planning inputs: calculate your monthly API cost with realistic token counts, or compare this provider with other AI models before routing production traffic.
Mistral AI API pricing is the usage-based cost of running Mistral models through API requests. The practical estimate depends on the selected model, input tokens, output tokens, monthly request volume, retries, and any listed caching or discount rules.
Estimate one representative request first: input tokens, expected output tokens, selected Mistral models, request volume, retry rate, and cached input or batch pricing when listed assumptions when they are listed. Then multiply by monthly traffic.
Open the Mistral AI API cost calculatorUse the table on this page to compare available Mistral AI rows per 1M tokens. Not listed values stay visible as Not listed, so unknown prices are not accidentally treated as zero.
Compare total workflow cost, not only the cheapest input token price. Output length, quality, retries, context size, and fallback routing can change the real monthly API bill.
Compare Mistral AI with other providersUse cases are planning categories, not pricing promises. Estimate each workflow with its own token shape, expected answer length, quality requirement, and fallback behavior.
Mistral AI is often evaluated by teams that care about model choice, deployment context, cost, and regional vendor strategy.
Teams may test Mistral routes for tagging, extraction, summarization, transformation, and internal productivity workflows.
Estimate Mistral API spend with realistic token counts, quality checks, retries, and fallback routes before changing default models.
Compare Mistral AI with OpenAI, Claude, Gemini, and Cohere by input price, output price, cached-input behavior, context needs, latency, quality, and cost per successful task. Always verify current provider pricing before launch or procurement decisions.
Model a normal, high, and worst-case month with expected requests, input tokens, output tokens, retries, and model routes before exposing a feature to real traffic.
Decide which app, workspace, customer tier, or internal team can spend against the provider budget. Review burn rate weekly during launches and pricing changes.
Shorten repeated instructions, cap output length, avoid sending full history when a summary works, and route routine tasks to lower-cost models when quality testing supports it.
The existing calculator route is linked directly without invented provider or model query parameters.
Pricing data is informational and may lag provider changes. Always verify final billing decisions against provider pricing pages, contracts, dashboards, and invoices.
Mistral AI API cost depends on the selected model, input tokens, output tokens, request volume, retries, and any cached input or batch pricing when listed or discount rules that apply. Use the pricing table and calculator with your own workload assumptions instead of relying on a single average price.
Estimate one request with input tokens, expected output tokens, model choice, and current per-1M-token pricing. Then multiply by requests per user, active users, days per month, retry rate, and fallback calls.
Mistral models are usually evaluated for workflows such as european ai stack planning, classification and extraction, production routing. The best route depends on quality, latency, context size, output length, and monthly budget.
Mistral AI can be cheaper or more expensive depending on the exact model, prompt size, output length, cache eligibility, retry rate, and quality target. Compare total workflow cost across providers before switching production traffic.
Not listed means the current local pricing source does not expose a confirmed numeric value for that field. It is intentionally not treated as zero. Check the official Mistral AI pricing page and billing dashboard before launch.
Control spend by setting monthly budget limits, measuring input and output tokens separately, capping output length, reducing repeated context, reviewing retry cost, and comparing model routes before high-volume traffic grows.