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Gemini 3.7 Flash vs Ministral 3 (8B Base 2512)

Comparing Gemini 3.7 Flash and Ministral 3 (8B Base 2512) across benchmarks, pricing, and capabilities.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.7 Flash and Ministral 3 (8B Base 2512) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 3.7 Flash

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

Choose Ministral 3 (8B Base 2512)

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

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
Ministral 3 (8B Base 2512)
Mistral AI
Benchmark wins
—
—
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Dec 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Ministral 3 (8B Base 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.7 Flash specifies input context (1,048,576 tokens). Only Gemini 3.7 Flash specifies output context (65,536 tokens).

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Ministral 3 (8B Base 2512)
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and Ministral 3 (8B Base 2512) support multimodal inputs.

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

Gemini 3.7 Flash

Text
Images
Audio
Video

Ministral 3 (8B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while Ministral 3 (8B Base 2512) uses Apache 2.0.

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

Gemini 3.7 Flash

Proprietary

Closed source

Ministral 3 (8B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Ministral 3 (8B Base 2512) was released on 2025-12-04.

Gemini 3.7 Flash is 8 months newer than Ministral 3 (8B Base 2512).

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

8mo newer
Ministral 3 (8B Base 2512)

Dec 4, 2025

8 months ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Ministral 3 (8B Base 2512)'s cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Ministral 3 (8B Base 2512)'s cutoff date.

Gemini 3.7 Flash

Mar 2026

Ministral 3 (8B Base 2512)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Ministral 3 (8B Base 2512) side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Ministral 3 (8B Base 2512)
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Ministral 3 (8B Base 2512).

Which is better, Gemini 3.7 Flash or Ministral 3 (8B Base 2512)?

Gemini 3.7 Flash (Google) and Ministral 3 (8B Base 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.7 Flash compare to Ministral 3 (8B Base 2512) in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. Ministral 3 (8B Base 2512) scores MMLU-Redux: 79.3%, MMLU: 76.1%, Multilingual MMLU: 70.6%, TriviaQA: 68.1%, MATH (CoT): 62.6%.

What are the context window sizes for Gemini 3.7 Flash and Ministral 3 (8B Base 2512)?

Gemini 3.7 Flash supports 1.0M tokens and Ministral 3 (8B Base 2512) 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 Gemini 3.7 Flash and Ministral 3 (8B Base 2512)?

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

Who makes Gemini 3.7 Flash and Ministral 3 (8B Base 2512)?

Gemini 3.7 Flash is developed by Google and Ministral 3 (8B Base 2512) is developed by Mistral AI.

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