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Gemini 3.7 Flash vs Mistral Large 3

Comparing Gemini 3.7 Flash and Mistral Large 3 across benchmarks, pricing, and capabilities.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.7 Flash and Mistral Large 3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Gemini 3.7 Flash is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.7 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Gemini 3.7 Flash

  • cost matters — it's about 1.8x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Mistral Large 3

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.75 / M
$2.00 / M
Output price
$3.75 / M
$5.00 / M
Context window
1,048,576
128,000
Released
Aug 2026
Sep 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.7 Flash and Mistral Large 3don'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

Pricing Analysis

Price comparison per million tokens

Gemini 3.7 Flash costs less

For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 2.7x cheaper than Mistral Large 3 ($2.00/1M tokens).

For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 1.3x cheaper than Mistral Large 3 ($5.00/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Gemini 3.7 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Google
Gemini 3.7 Flash
Input tokens$0.75
Output tokens$3.75
Best providerGoogle
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3.7 Flash accepts 1,048,576 input tokens compared to Mistral Large 3's 128,000 tokens. Gemini 3.7 Flash can generate longer responses up to 65,536 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and Mistral Large 3 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

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash is licensed under a proprietary license, while Mistral Large 3 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

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Mistral Large 3 was released on 2025-09-01.

Gemini 3.7 Flash is 12 months newer than Mistral Large 3.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

11mo newer
Mistral Large 3

Sep 1, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Mistral Large 3'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 Mistral Large 3's cutoff date.

Gemini 3.7 Flash

Mar 2026

Mistral Large 3

Provider Availability

Gemini 3.7 Flash is available from Google. Mistral Large 3 is available from Mistral AI.

Gemini 3.7 Flash

google logo
Google
Input Price:Input: $0.75/1MOutput Price:Output: $3.75/1M

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M
* 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 Gemini 3.7 Flash and Mistral Large 3 side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Mistral Large 3
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Mistral Large 3.

Which is better, Gemini 3.7 Flash or Mistral Large 3?

Gemini 3.7 Flash (Google) and Mistral Large 3 (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 Mistral Large 3 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%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

Is Gemini 3.7 Flash cheaper than Mistral Large 3?

Gemini 3.7 Flash is 2.7x cheaper for input tokens. Gemini 3.7 Flash costs $0.75/M input and $3.75/M output via google. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral.

What are the context window sizes for Gemini 3.7 Flash and Mistral Large 3?

Gemini 3.7 Flash supports 1.0M tokens and Mistral Large 3 supports 128K 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 Mistral Large 3?

Key differences include context window (1.0M vs 128K), input pricing ($0.75 vs $2.00/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.7 Flash and Mistral Large 3?

Gemini 3.7 Flash is developed by Google and Mistral Large 3 is developed by Mistral AI.