One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $1.36 = $1.36
- Output0.1M x $4.18 = $0.418
$1.78per session
Mistral AI - Closed weights
Mistral Large 4 pricing and specs
Mistral Large 4 is a closed-weights model from Mistral AI that costs $1.36 per 1M input tokens and $4.18 per 1M output tokens on the first-party API, with a 1M-token context window.
Last verified from docs.mistral.ai. All sources
- Input / 1M
- $1.36
- Output / 1M
- $4.18
- Context
- 1M tokens
- Weights
- Closed
Pricing per 1M tokens
| Item | Price / 1M tokens |
|---|---|
| Input | $1.36 |
| Output | $4.18 |
| Cache read | $0.14 |
| Batch inputBatch requests | $0.68 |
| Batch outputBatch requests | $2.09 |
Note: The prices recorded are the list prices. On 2026-10-17 the pricing page showed a temporary launch sale of $0.68 input, $0.07 cached input and $2.09 output, with the list price struck through. The changelog entry for 2026-10-05 says 'Launch pricing: 50% off for 2 weeks', so the sale should end around 2026-10-19. Batch prices come from the pricing page's Batch mode, which the page's own code computes as 0.5x standard (shown as 'Batch (-50%)'). Priority Tier adds 75% and regional inference adds 10%. The model is in Public Preview. The docs give the context only as '1M', and the Vercel AI Gateway lists 524288. No primary page states a max output. The changelog says 'Open weights are coming soon', and the model card's weights link reads 'Coming soon', so weights are recorded as closed for now. The model card is dated October 6, 2026; release date uses the changelog date (October 5).
Specs
- Context window
- 1,000,000 tokens
- Release date
- Provider
- Mistral AI
- API model id
mistral-large-4- Vercel AI Gateway id
mistral/mistral-large-4- Weights
- Closed weights
What Mistral Large 4 costs in practice
Worked from the standard list rates above, with the math shown so you can swap in your own token counts.
A chat app
10,000 requests a day at 2K input and 500 output tokens each.
- Input20M x $1.36 = $27.20
- Output5M x $4.18 = $20.90
$48.10per day
$1,443.00 per 30-day month
The same session at a 90% cache hit
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
- Cached input0.9M x $0.14 = $0.126
- Uncached input0.1M x $1.36 = $0.136
- Output0.1M x $4.18 = $0.418
$0.68per session
Compare with
| Model | Input / 1M | Output / 1M |
|---|---|---|
| Mistral Large 4 (this page) | $1.36 | $4.18 |
| Kimi K2.6Moonshot AI | $0.95 | $4 |
| Kimi K2.7 CodeMoonshot AI | $0.95 | $4 |
| DeepSeek V4 ProDeepSeek | $1.32 | $3.96 |
| GLM-5.1Z.ai | $1.40 | $4.40 |
| Mistral Large 3Mistral AI | $0.50 | $1.50 |
| Codestral 25.08Mistral AI | $0.30 | $0.90 |
| Mistral Medium 3.5Mistral AI | $1.50 | $7.50 |
| Mistral Small 4Mistral AI | $0.15 | $0.60 |
| Ministral 3 14BMistral AI | $0.20 | $0.20 |
| Ministral 3 8BMistral AI | $0.15 | $0.15 |
Compare
Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.
- Mistral Large 4 vs Gemini 3.8 FlashSimilar price, same tier
- Mistral Large 4 vs GLM-5.3Similar price, same tier
- Mistral Large 4 vs Grok Build 0.1Similar price, same tier
- Mistral Large 4 vs DeepSeek V4 ProSimilar price, same tier
- Mistral Large 4 vs GPT-5.4 MiniSimilar price, same tier
- Mistral Large 4 vs Mistral Large 3Same provider, successor
- Mistral Large 4 vs Kimi K2.7 CodeSimilar price, same tier
Related reading
- Mistral Large 4: Specs, Pricing, Benchmarks and Weights DateMistral Large 4 is a 1T-parameter multimodal MoE with 52B active, in public preview at $0.68/$2.09 per million tokens, with open weights due end of October.
- Mistral Shieldstral: A 3B Open-Weight Policy-Adaptive Moderation Model That Beats Models 7x Its SizeMistral Shieldstral is a 3B Apache 2.0 multimodal moderation model that takes your policy as a plain-language question at inference and runs on one 16GB GPU.
- Mistral Releases Robostral Navigate: An 8B Robotics Navigation ModelMistral Robostral Navigate is an 8B robotics model that navigates with only a camera and natural language commands. How it works and what the benchmarks mean.
- Leanstral 1.5: Mistral's Open Theorem-Proving Model Hits 100% on miniF2FLeanstral 1.5 is Mistral's open Apache-2.0 model for Lean 4 theorem proving. The benchmark claims, the HN pushback on its bug-finding pitch, and how to use it.
- Mistral OCR 4 and Unlimited OCR Make Document Parsing an Agent Runtime ChoiceMistral OCR 4 and Baidu's Unlimited OCR turn document parsing into a runtime choice for agents - cost per page, layout, confidence scores and self-hosting.
- Codex Custom Model Providers: GLM-5.3, Mistral and OllamaCodex only speaks the Responses API now. Tested config.toml blocks for GLM-5.3, Mistral Large 4 through a gateway, local Ollama and an internal proxy.
FAQ
How much does Mistral Large 4 cost per million tokens?
Mistral Large 4 costs $1.36 per 1M input tokens and $4.18 per 1M output tokens on Mistral AI's first-party API, per docs.mistral.ai on October 17, 2026. Per 1M tokens, cache reads cost $0.14, and the batch rate is $0.68 input and $2.09 output.
What is Mistral Large 4's context window?
Mistral Large 4 has a 1,000,000-token context window.
Are Mistral Large 4's weights open?
No. Mistral Large 4 is a closed-weights model. You call it through Mistral AI's API as mistral-large-4 or through Vercel AI Gateway as mistral/mistral-large-4.
When was Mistral Large 4 released?
Mistral AI released Mistral Large 4 on October 5, 2026.
Sources
Last verified from docs.mistral.ai.
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