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MistralReleased on Dec 4, 2025

Mistral Large 3 (675B Instruct 2512): Benchmarks, Pricing & Context Window

Mistral Large 3 (675B Instruct 2512) is a language model from Mistral, released in December 2025, with multimodal input, a 262K-token context window, and pricing from $0.500/M input and $1.50/M output.

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

Input
TextImage
Output
Text

Mistral Large 3 (675B Instruct 2512) benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Mistral Large 3 (675B Instruct 2512) across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Mistral Large 3 (675B Instruct 2512) holds up as conversations get longer.

Quality Tracker

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 - Fri Oct 02 2026
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Mistral Large 3 (675B Instruct 2512) pricing

Providers

Mistral Large 3 (675B Instruct 2512) starts at $0.500 per million input tokens and $1.50 per million output tokens via Mistral AI.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
Mistral AI logoMistral AI
$0.500—$1.50262.1K/262.1K
5.39
56
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

Mistral Large 3 (675B Instruct 2512) model size

Mistral Large 3 (675B Instruct 2512) has 675 billion parameters. See how it compares to other models in the same parameter range.

Parameters
675BMoE
Frontier (200B+)
675B
1B7B70B405B

Mistral Large 3 (675B Instruct 2512) context window

Input and output token limits for Mistral Large 3 (675B Instruct 2512), plus how it ranks on long-context understanding.

InputOutput
262Ktokens
262Ktokens
≈ 394 pages of text
262K
8K128K1M

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Mistral Large 3 (675B Instruct 2512) latency

Mistral Large 3 (675B Instruct 2512) time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Provider operational metrics

Time to first token, output throughput, and failed-request rate from live model usage

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Mistral Large 3 (675B Instruct 2512) examples

Recent arena outputs from Mistral Large 3 (675B Instruct 2512), picked from the highest-ranked matchups.

Mistral Large 3 (675B Instruct 2512) license

Mistral Large 3 (675B Instruct 2512) is released under the Apache 2.0 license, which permits commercial use, has 675.0B parameters.

License
Apache 2.0
Commercial use allowed
Parameters
675.0B

Apache License 2.0 - allows commercial use

Mistral Large 3 (675B Instruct 2512) resources

Official sources for Mistral Large 3 (675B Instruct 2512): provider documentation, official playground, official launch post, model weights.

Mistral Large 3 (675B Instruct 2512) vs other models

The most-compared alternatives to Mistral Large 3 (675B Instruct 2512) are K-EXAONE-236B-A23B, Qwen3 VL 30B A3B Thinking, DeepSeek-V3. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like Mistral Large 3 (675B Instruct 2512)

Models ranked just above and below Mistral Large 3 (675B Instruct 2512) by LLM Stats score.

 

K-EXAONE-236B-A23B

Score pending
 

Qwen3 VL 30B A3B Thinking

Score pending
 

DeepSeek-V3

Score pending
 

Qwen2 72B Instruct

Score pending
 

Llama 4 Scout

Score pending
 

Mistral Large 3 (675B Instruct 2512 NVFP4)

Score pending

FAQ

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

When was Mistral Large 3 (675B Instruct 2512) released?

Mistral Large 3 (675B Instruct 2512) was released on December 4, 2025 by Mistral. This is the official Mistral Large 3 (675B Instruct 2512) release date tracked on LLM Stats.

How much does Mistral Large 3 (675B Instruct 2512) cost?

Mistral Large 3 (675B Instruct 2512) pricing starts at $0.50 per million input tokens and $1.50 per million output tokens via Mistral AI, the lowest price among tracked providers.

How big is Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) has 675 billion parameters. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) was created by Mistral.

What is the license for Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Is Mistral Large 3 (675B Instruct 2512) multimodal?

Yes, Mistral Large 3 (675B Instruct 2512) is multimodal and can accept both text and images as input.

What is Mistral Large 3 (675B Instruct 2512) latency?

Mistral Large 3 (675B Instruct 2512) p95 time to first token is 5.39 seconds via Mistral AI over the trailing 7 days. Lower time to first token means the model begins responding sooner for chat, agents and model workloads.

Where can I use Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) is available through 1 provider including Mistral AI.

Where is the Mistral Large 3 (675B Instruct 2512) paper or technical report?

Mistral Large 3 (675B Instruct 2512) has a paper or technical report available at https://mistral.ai/news/mistral-3. Use that source for architecture, training, release and evaluation details.

What models should I compare Mistral Large 3 (675B Instruct 2512) against?

Common Mistral Large 3 (675B Instruct 2512) comparisons include Mistral Large 3 (675B Instruct 2512) vs K-EXAONE-236B-A23B, Mistral Large 3 (675B Instruct 2512) vs Qwen3 VL 30B A3B Thinking, Mistral Large 3 (675B Instruct 2512) vs DeepSeek-V3. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.