Best for coding
Good code quality, debugging and technical explanation.
Model · Mistral
Mistral Large 4
Mistral Large 4 is served by Mistral through OpenRouter. It provides 1.05M tokens of context and supports text, vision inputs.
Context window
1.05M tokens
Input / 1M tokens
$0.680
Output / 1M tokens
$2.09
Key facts
| Provider | Mistral |
| OpenRouter ID | mistralai/mistral-large-4-0 |
| Modalities | Text, Vision |
| Best for | Long Context, Multimodal, Coding |
Source
openrouter.ai/api/v1/models Verified 2026-10-10 Drift-checked daily 06:00 CST Best-fit workloads
Best for long context
Large context window for documents and transcripts.
Best multimodal
Handles images, files, audio or video inputs.
Cost estimates
These examples use the 2026-10-10 input and output prices. Cache discounts, provider surcharges and tool fees are excluded.
| Workload | Input | Output | Estimated cost |
|---|---|---|---|
| Quick test | 20,000 | 5,000 | $0.024 |
| Product chat month | 500,000 | 125,000 | $0.601 |
| Document batch | 5,000,000 | 1,000,000 | $5.49 |
Strengths
- ✓ 1M-token window at $0.68 / $2.09 per million — the cheapest 1M row here from a European vendor
- ✓ A 262,144-token output ceiling, which is unusual at this price
- ✓ Mistral's frontier tier above Medium 3.5, which this hub also carries
Limitations
- ! Text output only
- ! Reads images but not video, audio or files, so it is the narrower multimodal row next to Gemini Flash
- ! Frontier positioning for reasoning, coding and agents is the vendor's framing rather than something measured here
OpenRouter API quickstart
Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.
cURL
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-large-4-0",
"messages": [{ "role": "user", "content": "Summarize this document in five bullet points." }],
"max_tokens": 500
}'JavaScript / TypeScript
const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "mistralai/mistral-large-4-0",
messages: [{ role: "user", content: "Summarize this document in five bullet points." }],
max_tokens: 500,
}),
});
const data = await response.json();
console.log(data.choices[0].message.content);How to evaluate Mistral Large 4
- Run five real tasks from your product, not generic demo prompts.
- Record token usage, latency and output quality.
- Estimate cost using your real input/output mix.
- Compare it against one model with a similar price and one stronger model.
Compare models View on OpenRouter ↗
Mistral Large 4 FAQ
What is Mistral Large 4?
Mistral Large 4 is a Mistral model available through OpenRouter. It supports text, vision inputs and is suited for long context, multimodal, coding workloads.
How much does Mistral Large 4 cost on OpenRouter?
The 2026-10-10 snapshot lists $0.680 per 1M input tokens and $2.09 per 1M output tokens. Verify current pricing on OpenRouter before production.
How large is Mistral Large 4's context window?
Mistral Large 4 offers 1.05M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.
Pricing and context data are based on a 2026-10-10 snapshot. Provider limits can change; always verify on OpenRouter before production.