Mistral Large 3

On Coinis, Mistral Large 3 is pay-as-you-go from one shared token wallet. Buy tokens once. Spend them on any model. No separate accounts. No monthly commit.

Mistral Large 3 (mistral-large-2512) uses a sparse MoE architecture with 675B total parameters and 41B active, a 262K context window, and multimodal image inputs. Mistral Large 2 (mistral-large-2407) is a denser model with a 128K context window and no native image support. approximately 4 times the per-token cost of Mistral Large 3 at the same provider.

Choose Mistral Large 3 when EU data governance matters, when you need a 262K context window rather than Llama 3.1 405B's 128K, or when you want Apache 2.0 open weights from a European lab. Llama 3.1 405B is a strong alternative for teams already invested in Meta's ecosystem. Both are competitive on reasoning benchmarks at their respective price points.

Yes to all three. Tool/function calling is supported with an observed error rate of approximately 4.09% on the Mistral provider. Structured JSON output via response_format has an observed error rate of approximately 0.45%. Image inputs are accepted via image_url alongside text prompts for multimodal tasks.

No code. Create a free Coinis account, pick Mistral Large 3, write your prompt, and generate. 25 free tokens to start, no card.

Pin to mistral-large-2512 for production stability. The mistral-large-latest alias always resolves to the newest Large generation, which means a future model release could change response behavior without a code change on your side. Pinning the December 2025 version keeps outputs consistent until you choose to upgrade.

Prompt training is explicitly disabled, so your prompts are not used for model training. Per OpenRouter's data policy disclosure, prompt data may be retained by the Mistral provider for up to 30 days for abuse-detection purposes. Check the official Mistral terms at mistral.ai/pricing for the full data handling policy.