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Mercury 3 vs Mistral Large 3 (675B Instruct 2512 NVFP4)

Mercury 3 leads the LLM Stats Score 36.1 to 8.4.

Inception · Mistral AI · Updated for 2026

Which is better?

Mercury 3 leads the overall LLM Stats Score 36.1 to 8.4, ranking #98 overall.

In the 1 individual benchmarks reported for both models, Mercury 3 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mercury 3

  • overall performance matters — it scores 36.1 and ranks #98 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Large 3 (675B Instruct 2512 NVFP4)

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Mercury 3
Inception
Mistral Large 3 (675B Instruct 2512 NVFP4)
Mistral AI
Core performance indexes
LLM Stats Score
36.1
#98
8.4
#300
Reasoning
34.8
#103
8.6
#292
Coding
21.5
#105
1.3
#256
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
— / M
Output price
$0.35 / M
— / M
Context window
1,000,000
—

Individual benchmarks

12 reported for Mercury 3 · 5 for Mistral Large 3 (675B Instruct 2512 NVFP4)

1 shared

Mercury 3 outperforms in 1 benchmarks (GPQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.

Mercury 3 significantly outperforms across most benchmarks.

Sun Oct 25 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Mercury 3 specifies input context (1,000,000 tokens). Only Mercury 3 specifies output context (131,072 tokens).

Inception
Mercury 3
Input1,000,000 tokens
Output131,072 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Mercury 3 does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mercury 3

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Mercury 3 is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mercury 3

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mercury 3 was released on 2026-10-19, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mercury 3 is 11 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Mercury 3

Oct 19, 2026

6 days ago

10mo newer
Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

10 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mercury 3 and Mistral Large 3 (675B Instruct 2512 NVFP4) side-by-side, then vote on the output you prefer.

Mercury 3
✓ Preferred
Mistral Large 3 (675B Instruct 2512 NVFP4)
Open in Playground

FAQ

Common questions about Mercury 3 vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Mercury 3 or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Mercury 3 leads the LLM Stats Score 36.1 to 8.4. Mercury 3 is made by Inception and Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mercury 3 compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

Mercury 3 scores GPQA: 89.2%, AA-LCR: 77.7%, IFBench: 76.8%, MRCR v2: 75.5%, DeepSearchQA: 71.3%. Mistral Large 3 (675B Instruct 2512 NVFP4) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Mercury 3 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Mercury 3 supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mercury 3 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Key differences include LLM Stats Score (36.1 vs 8.4), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mercury 3 and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Mercury 3 is developed by Inception and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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