The AI arena is free today

Open Superagent

Mistral Large 3 (675B Instruct 2512) vs Parse

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

Mistral AI · Cohere · Updated for 2026

Which is better?

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

Mistral Large 3 (675B Instruct 2512) also accepts a larger context window (262,100 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Mistral Large 3 (675B Instruct 2512)

  • you process long inputs — it offers a 262,100 token context window
  • 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)
Mistral AI
Parse
Cohere
Benchmark wins
—
—
Input price
$0.50 / M
— / M
Output price
$1.50 / M
— / M
Context window
262,100
8,192

Individual benchmarks

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

No common benchmarks found

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

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

Context Window

Maximum input and output token capacity

Mistral Large 3 (675B Instruct 2512) accepts 262,100 input tokens compared to Parse's 8,192 tokens. Only Mistral Large 3 (675B Instruct 2512) specifies output context (262,100 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Instruct 2512) 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)

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 3 (675B Instruct 2512) 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)

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512) 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).

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

9 months ago

Parse

Aug 27, 2026

3 weeks 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

Provider Availability

Mistral Large 3 (675B Instruct 2512) is available from Mistral AI. Parse is available from Azure, Cohere.

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

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) and Parse side-by-side, then vote on the output you prefer.

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

FAQ

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

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

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

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

Mistral Large 3 (675B Instruct 2512) supports 262K 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) and Parse?

Key differences include context window (262K vs 8K), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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

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

Related comparisons