Mistral Large 3
Mistral Large 3 is a large-scale MoE model from Mistral, using a sparse mixture-of-experts architecture with 41B active parameters out of 675B total, the company's first MoE release since the Mixtral series.
- Input and output price
- Input $0.50, Output $1.50, Per 1M tokens
- 24h uptime
- Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({ model: 'mistral/mistral-large-3', prompt: 'Why is the sky blue?'})Copy link to headingProviders
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
Copy link to headingPlayground
Try out Mistral Large 3 by Mistral. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Mistral Large 3
Mistral Large 3
Copy link to headingUptime24 hours
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
Copy link to headingThroughput24 hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
Copy link to headingLatency24 hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Copy link to headingMore models by Mistral
| Model |
|---|
| 256K | 0.3 s | $1.50/M | $7.50/M | — | | 04/29/2026 | ||||||||
| 256K | 0.3 s | 131 tps | $0.20/M | $0.20/M | — | | 12/02/2025 | |||||||
| — | $0.15/M | — | | 05/28/2025 | ||||||||||
| 128K | 0.3 s | 257 tps | $0.10/M | $0.10/M | — | | 10/16/2024 | |||||||
| 32K | 0.3 s | $0.10/M | $0.30/M | — | | 09/17/2024 | ||||||||
| — | $0.10/M | — | | 12/11/2023 |
Copy link to headingAbout Mistral Large 3
Announced December 2, 2025, Mistral Large 3 marks Mistral's return to the mixture-of-experts (MoE) architecture that defined their earlier Mixtral series, now at a larger scale. With 675B total parameters and 41B active per forward pass, Mistral Large 3 represents a substantial architectural evolution from the dense models that preceded it in the Large lineage.
The sparse MoE design lets Mistral Large 3 maintain inference efficiency comparable to a smaller dense model while drawing on a large total parameter pool for complex tasks. This architecture offers a tradeoff between capability and inference cost.
Through AI Gateway, you can access Mistral Large 3 without separate Mistral API credentials. Built-in observability gives you cost and latency visibility across every request.
Copy link to headingWhat To Consider When Choosing a Provider
- Configuration: Mistral Large 3's return to MoE architecture brings sparse activation, where only part of the total parameters run per token, to Mistral's largest general-purpose open release as of the Mistral 3 announcement.
- Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
Copy link to headingWhen to Use Mistral Large 3
Best for
- High-capability MoE tasks: Demanding Mistral's general-purpose MoE lineup
- Complex reasoning and analysis: Tasks that benefit from a large total parameter pool
- Long-form content generation: Long outputs where coherent multi-step logic has to hold across the whole piece
- Mistral ecosystem fit: Applications that rely on its tooling, fine-tuning, or enterprise agreements
- MoE inference efficiency: Workflows preferred over pure dense-model approaches
Consider alternatives when
- Explicit chain-of-thought reasoning: Your task requires reasoning traces (consider Magistral Medium)
- Primary cost constraint: Mistral Small or a Ministral variant meets accuracy requirements at lower per-token cost than the 675B flagship
- Vision capabilities: You need multimodal input (consider Pixtral Large)
Copy link to headingConclusion
Mistral Large 3 brings back sparse MoE at a larger scale than Mixtral. For teams that want Mistral's largest general-purpose open MoE with 41B active parameters per forward pass, it fills that tier.