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Mistral Large 3 (675B Instruct 2512)

Overview

Overview

Mistral Large 3 (675B Instruct 2512) is a state-of-the-art general-purpose Multimodal granular Mixture-of-Experts model with 41B active parameters and 675B total parameters trained from scratch with 3000 H200s. This model is the instruct post-trained version in FP8, fine-tuned for instruction tasks, making it ideal for chat, agentic and instruction based use cases. A no-loss FP8 version to reduce resource requirements. Can be deployed on a node of B200s or H200s. Designed for reliability and long-context comprehension - It is engineered for production-grade assistants, retrieval-augmented systems, scientific workloads, and complex enterprise workflows.

Mistral Large 3 (675B Instruct 2512) was released on December 4, 2025. API access is available through Mistral AI.

Performance

Timeline

ReleasedUnknown
Knowledge CutoffUnknown

Specifications

Parameters
675.0B
License
Apache 2.0
Training Data
Unknown

Benchmarks

Benchmarks

Mistral Large 3 (675B Instruct 2512) Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Thu Feb 12 2026
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Pricing

Pricing

Pricing, performance, and capabilities for Mistral Large 3 (675B Instruct 2512) across different providers:

ProviderInput ($/M)Output ($/M)Max InputMax OutputLatency (s)ThroughputQuantizationInputOutput
Mistral AI logo
Mistral AI
$0.50$1.50262.1K262.1K
1.7
45.89 c/s
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Text
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API Access

API Access Coming Soon

API access for Mistral Large 3 (675B Instruct 2512) will be available soon through our gateway.

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FAQ

Common questions about Mistral Large 3 (675B Instruct 2512)

Mistral Large 3 (675B Instruct 2512) was released on December 4, 2025 by Mistral.
Mistral Large 3 (675B Instruct 2512) was created by Mistral.
Mistral Large 3 (675B Instruct 2512) has 675.0 billion parameters.
Mistral Large 3 (675B Instruct 2512) is released under the Apache 2.0 license. This is an open-source/open-weight license.
Yes, Mistral Large 3 (675B Instruct 2512) is a multimodal model that can process both text and images as input.