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Mistral Large 3 (675B Instruct 2512 Eagle) vs Parse

Comparing Mistral Large 3 (675B Instruct 2512 Eagle) and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

Mistral Large 3 (675B Instruct 2512 Eagle) and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

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

Choose Parse

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

5 reported for Mistral Large 3 (675B Instruct 2512 Eagle) · 1 for Parse

No common benchmarks found

Mistral Large 3 (675B Instruct 2512 Eagle) and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

672.7B diff

Mistral Large 3 (675B Instruct 2512 Eagle) has 672.7B more parameters than Parse, making it 29247.8% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
Cohere
Parse
2.3Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Instruct 2512 Eagle) and Parse support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04, while Parse was released on 2026-08-27.

Parse is 9 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

9 months ago

Parse

Aug 27, 2026

6 days ago

8mo newer

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?Start an Issue discussion→

Judge for yourself.

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

Mistral Large 3 (675B Instruct 2512 Eagle)
✓ Preferred
Parse
Open in Playground

FAQ

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

Which is better, Mistral Large 3 (675B Instruct 2512 Eagle) or Parse?

Mistral Large 3 (675B Instruct 2512 Eagle) (Mistral AI) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

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

Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Parse scores ParseBench: 79.2%.

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

Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Instruct 2512 Eagle) and Parse?

Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI and Parse is developed by Cohere.

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