mistral-large-3
Input price$2
Output price$6
MistralTextVision
mistral-large-4-0
mistral-large-4-0 is Mistral's model at $0.68 input and $2.09 output per million tokens, with a 524K context window. On a typical 3:1 input-to-output mix that blends to roughly $1.03 per million tokens, placing it in the mid-range band of the 89 models tracked here — cheaper than 51% of them.
Context window524K
Input price$0.68 / 1M
Output price$2.09 / 1M
Output speed—
Quality score—
Data updatedUpdated Oct 2026
Price verified2026-10-07 · OpenRouter
By price, mistral-large-4-0 ranks 44th cheapest of 89 on input and 41st on output.. Its blended rate sits 66% below the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $120 per month on mistral-large-4-0, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $142. Because output is priced 3.1× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 524K context window holds roughly 699 pages of A4 text (at ~750 tokens per page), ranking 49th of 89 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis.
We track 4 Mistral models, and mistral-large-4-0's blended rate sits 45% below that provider's average. If your task tolerates a little less headroom, Phi-4-mini (Microsoft) blends about 98% cheaper at a quality score of 68, and is worth benchmarking first. Going the other way, qwen3.7-flash scores 82 on quality for about 95% less.
The closest model in Mistral's line-up is codestral-latest ($0.30 input / $0.90 output, quality 80). Against it, mistral-large-4-0 scores 80 points lower on quality, has a 268K larger context window, costs 56% more blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $120 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $142 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $123 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $711 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| mistral-large-4-0 | Mistral | $1.03 | — | — |
| Phi-4-miniCheaper option | Microsoft | $0.025 | 68 | -98% |
| qwen3.7-flashHigher quality | Alibaba | $0.055 | 82 | -95% |
| codestral-latestSame provider | Mistral | $0.45 | 80 | -56% |
Best for
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Modalities
TextVision
Where it fits — and where it doesn't
Good fit
- Long documents: a 524K window ingests a full contract, paper or large codebase in one pass.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- No obvious disqualifiers — still benchmark on your own data before committing.
Frequently asked questions
How much does the mistral-large-4-0 API cost?
mistral-large-4-0 costs $0.68 per million input tokens and $2.09 per million output tokens. On a 3:1 input-to-output mix that blends to about $1.03 per million tokens.
What does mistral-large-4-0 cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $120/month, RAG document Q&A about $142/month, a coding assistant about $123/month, and batch summarization about $711/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the mistral-large-4-0 context window?
524K tokens — roughly 699 pages of A4 text at ~750 tokens per page, ranking 49th of the 89 models tracked here.
mistral-large-4-0 or Phi-4-mini — which is better value?
Phi-4-mini blends to about $0.025 per million tokens versus $1.03 for mistral-large-4-0 — roughly 98% cheaper — at a quality score of 68 against —. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with mistral-large-4-0. Benchmark both on your own data before deciding.
What is mistral-large-4-0 best suited for?
Long documents: a 524K window ingests a full contract, paper or large codebase in one pass. Less suitable: No obvious disqualifiers — still benchmark on your own data before committing.
How current is this mistral-large-4-0 pricing?
Pricing here was last verified on 2026-10-07 against OpenRouter. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against Mistral's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
Related models
Continue by provider and use case.
View model
mistral-medium-3.5
Input price$1.5
Output price$7.5
codestral-latest
Input price$0.3
Output price$0.9
Pricing, speed and quality scores change over time. Confirm official documentation before production use.