
Mistral: Mistral Large 4
mistralai/mistral-large-4-0
Model weightsMistral 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.
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).
| $0.70 | $2.10 | $0.070 | 2.08s | 45 tok/s | ||
| $0.77 | $2.31 | $0.077 | 2.12s | 50 tok/s |
Input $0.70 / Output $2.1045 tok/s98.89% uptime
Input $0.77 / Output $2.3150 tok/s98.89% uptime
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.
Weighted average
Mistral Large 4 — Price history
| $0.127 | $2.10 | 90.9% | 89.8% | ||
| $0.233 | $2.31 | 77.4% | 10.2% |
- Effective in $0.127 / Effective out $2.10Token share89.8%
- Effective in $0.233 / Effective out $2.31Token share10.2%
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).
P50, best across providers
P50, best provider
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.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
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.
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.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Mistral Large 4 (High) Intelligence Index | 26.1 |
| Artificial Analysis | Mistral Large 4 (High) CritPt | 10.0% |
| Artificial Analysis | Mistral Large 4 (High) Terminal-Bench 4.0 | 24.7% |
| Artificial Analysis | Mistral Large 4 (High) AA-Omniscience Accuracy | 26.0% |
| Artificial Analysis | Mistral Large 4 (High) AA-Omniscience Non-Hallucination Rate | 71.8% |
| Design Arena | Mistral Large 4 Preview Models Arena 3D Elo | 1237 |
| Design Arena | Mistral Large 4 Preview Models Arena Asciiart Elo | 1204 |
| Design Arena | Mistral Large 4 Preview Models Arena Code Categories Elo | 1254 |
| Design Arena | Mistral Large 4 Preview Models Arena Data Visualization Elo | 1274 |
| Design Arena | Mistral Large 4 Preview Models Arena Game Development Elo | 1204 |
| Design Arena | Mistral Large 4 Preview Models Arena SVG Elo | 1224 |
| Design Arena | Mistral Large 4 Preview Models Arena UI Component Elo | 1279 |
| Design Arena | Mistral Large 4 Preview Models Arena Website Elo | 1257 |
| Vals AI | Mistral Large 4 Preview BioMysteryBench | 67.0% |
| Vals AI | Mistral Large 4 Preview Code Migration | 30.6% |
| Vals AI | Mistral Large 4 Preview EMB v1.1 | 69.0% |
| Vals AI | Mistral Large 4 Preview Finance Agent v2.1 | 61.4% |
| Vals AI | Mistral Large 4 Preview Vals Finance Index | 56.9% |
| Vals AI | Mistral Large 4 Preview HLAB-Vals-1.1 | 17.5% |
| Vals AI | Mistral Large 4 Preview Immigration | 63.7% |
| Vals AI | Mistral Large 4 Preview IOI | 45.3% |
| Vals AI | Mistral Large 4 Preview Vals Legal Index | 65.6% |
| Vals AI | Mistral Large 4 Preview Legal Research Bench | 31.7% |
| Vals AI | Mistral Large 4 Preview MedCode | 40.7% |
| Vals AI | Mistral Large 4 Preview MedScribe | 80.4% |
| Vals AI | Mistral Large 4 Preview MysteryMechanism | 12.2% |
| Vals AI | Mistral Large 4 Preview ProofBench v1.1 | 10.0% |
| Vals AI | Mistral Large 4 Preview SWE-bench Multimodal | 33.1% |
| Vals AI | Mistral Large 4 Preview Tax Agent Bench | 30.4% |
| Vals AI | Mistral Large 4 Preview Terminal-Bench 4.0 | 27.8% |
| Vals AI | Mistral Large 4 Preview Vals Index | 48.7% |
| Vals AI | Mistral Large 4 Preview Vibe Code Bench 1-100 | 14.3% |
| Vals AI | Mistral Large 4 Preview Vibe Code Bench v1.1 | 78.4% |
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: $0.77/M tokens input, $2.31/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
Documentation
Guides, cookbooks, blog posts, and tools for building with Mistral: Mistral Large 4 on OpenRouter.
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.
The Mistral Large 4 documentation on OpenRouter includes the How to Benchmark LLMs blog post and the How to Stop an AI Agent Stuck in an Infinite Loop blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.
Mistral Large 4 costs $0.70/M input tokens and $2.10/M output tokens, with separate rates for Cache Read at $0.07/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 Large 4 is served by 1 provider on OpenRouter: Mistral.
Mistral Medium 3.5, Mistral Small 4, Devstral 2 2512 and 16 more are other text models from Mistral.
Mistral Large 4 was released on October 6, 2026.