Mistral Large 3 2512
ActiveMistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
Overview
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
History
Mistral Large 3 2512 became available via the Mistral AI API on 2025-12-01.
Training & availability
Mistral AI has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 262K tokens.
-
Input modalities: text, image.
Recommended for: vision, long-context.
Pricing
- Input: $0.5000 per 1M tokens
- Output: $1.5000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the OpenRouter API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="sk-or-...",
)
resp = client.chat.completions.create(
model="mistral/mistral-large-2512",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Providers & performance
1 providerMulti-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.
| Provider | Throughput | Latency (TTFT) | Input $ / 1M | Output $ / 1M | Context | Quant | Supports |
|---|---|---|---|---|---|---|---|
| Mistral | 43tok/s | 338ms | $0.5 | $1.5 | 262K | — | tools · json |
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
This model has no benchmark scores recorded yet.
Community ratings
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Comments
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