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Favicon for mistralai

Mistral: Mistral Large 4

mistralai/mistral-large-4-0

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Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.

Modalities
In / Out Price
$1.36 / $4.18per 1M
Context
1.0M
Released
Oct 6, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Mistral: Mistral Large 4 (Artificial Analysis, Design Arena and Vals AI)
SourceBenchmarkScore
Artificial AnalysisMistral Large 4 Preview Intelligence Index38.4
Artificial AnalysisMistral Large 4 Preview HLE35.0%
Artificial AnalysisMistral Large 4 Preview AA-LCR81.3%
Artificial AnalysisMistral Large 4 Preview GDPval-AA46.7%
Artificial AnalysisMistral Large 4 Preview CritPt10.6%
Artificial AnalysisMistral Large 4 Preview SciCode54.2%
Artificial AnalysisMistral Large 4 Preview Terminal-Bench 4.026.8%
Artificial AnalysisMistral Large 4 Preview AA-Omniscience Accuracy25.8%
Artificial AnalysisMistral Large 4 Preview AA-Omniscience Non-Hallucination Rate58.1%
Design ArenaMistral Large 4 Models Arena 3D Elo1248
Design ArenaMistral Large 4 Models Arena Asciiart Elo1206
Design ArenaMistral Large 4 Models Arena Code Categories Elo1258
Design ArenaMistral Large 4 Models Arena Data Visualization Elo1275
Design ArenaMistral Large 4 Models Arena Game Development Elo1226
Design ArenaMistral Large 4 Models Arena SVG Elo1229
Design ArenaMistral Large 4 Models Arena UI Component Elo1269
Design ArenaMistral Large 4 Models Arena Website Elo1256
Vals AIMistral Large 4 Code Migration30.6%
Vals AIMistral Large 4 EMB v1.169.0%
Vals AIMistral Large 4 Finance Agent v2.161.4%
Vals AIMistral Large 4 Vals Finance Index56.9%
Vals AIMistral Large 4 HLAB-Vals-1.117.5%
Vals AIMistral Large 4 IOI45.3%
Vals AIMistral Large 4 Vals Legal Index65.6%
Vals AIMistral Large 4 Legal Research Bench31.7%
Vals AIMistral Large 4 MedCode40.7%
Vals AIMistral Large 4 MedScribe80.4%
Vals AIMistral Large 4 ProofBench v1.110.0%
Vals AIMistral Large 4 SWE-bench Multimodal33.1%
Vals AIMistral Large 4 Tax Agent Bench30.4%
Vals AIMistral Large 4 Terminal-Bench 4.027.8%
Vals AIMistral Large 4 Vals Index48.7%
Vals AIMistral Large 4 Vibe Code Bench 1-10014.3%
Vals AIMistral Large 4 Vibe Code Bench v1.178.4%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Available through EU in-region routing

Mistral: Mistral Large 4 is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).

Providers in Europe
Mistral
Prices in Europe
  • Mistral: $1.496/M tokens input, $4.598/M tokens output
Base URL
https://eu.openrouter.ai/api/v1
Plan
Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing

Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs

Explore more models

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Latency / throughput
$1.360$4.180$0.1401.58s54 tps
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Not used in Standard routing:Why these endpoints are not used
$1.496$4.598$0.1541.32s67 tps
100.00%
Throughput
67tok/s

P50, best across providers

Latency
1.16s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
98.80%

Availability over the last 3 days

Last 72 hours
Availability 98.80%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
97.90%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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Frequently asked questions

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.

Mistral Large 4 costs $1.36/M input tokens and $4.18/M output tokens, with separate rates for Cache Read at $0.14/M tokens.

Mistral Large 4 has a 1,048,576 token context window. It supports up to 262,144 completion tokens.

Yes. Mistral Large 4 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Mistral Large 4 accepts text and images as input and returns text.

Mistral Medium 3.5, Mistral Small 4, Devstral 2 2512 and 16 more are other text models from Mistral AI.

Mistral Large 4 was released on October 6, 2026.