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Ministral 8B Instruct vs Parse

Comparing Ministral 8B Instruct and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

Ministral 8B Instruct and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Ministral 8B Instruct also accepts a larger context window (128,000 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 Ministral 8B Instruct

  • you process long inputs — it offers a 128,000 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.

Benchmark wins
Input price
$0.10 / M
— / M
Output price
$0.10 / M
— / M
Context window
128,000
8,192

Individual benchmarks

11 reported for Ministral 8B Instruct · 1 for Parse

No common benchmarks found

Ministral 8B Instruct 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

5.7B diff

Ministral 8B Instruct has 5.7B more parameters than Parse, making it 248.7% larger.

Mistral AI
Ministral 8B Instruct
8.0Bparameters
Cohere
Parse
2.3Bparameters
8.0B
Ministral 8B Instruct
2.3B
Parse

Context Window

Maximum input and output token capacity

Ministral 8B Instruct accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only Ministral 8B Instruct specifies output context (128,000 tokens).

Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Wed Sep 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Ministral 8B Instruct does not.

Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 8B Instruct

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 8B Instruct is licensed under Mistral Research License, while Parse uses a proprietary license.

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

Ministral 8B Instruct

Mistral Research License

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Ministral 8B Instruct was released on 2024-10-16, while Parse was released on 2026-08-27.

Parse is 23 months newer than Ministral 8B Instruct.

Ministral 8B Instruct

Oct 16, 2024

1.9 years ago

Parse

Aug 27, 2026

6 days ago

1.9yr 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

Ministral 8B Instruct is available from Mistral AI. Parse is available from Azure, Cohere.

Ministral 8B Instruct

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

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 Ministral 8B Instruct and Parse side-by-side, then vote on the output you prefer.

Ministral 8B Instruct
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Ministral 8B Instruct vs Parse.

Which is better, Ministral 8B Instruct or Parse?

Ministral 8B Instruct (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 Ministral 8B Instruct compare to Parse in benchmarks?

Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Ministral 8B Instruct and Parse?

Ministral 8B Instruct supports 128K 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 Ministral 8B Instruct and Parse?

Key differences include context window (128K vs 8K), multimodal support (no vs yes), licensing (Mistral Research License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 8B Instruct and Parse?

Ministral 8B Instruct is developed by Mistral AI and Parse is developed by Cohere.