Model Comparison

Gemini 3.6 Flash vs Mistral Large 3Which is better in 2026?

Comparing Gemini 3.6 Flash and Mistral Large 3 across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.6 Flash vs Mistral Large 3 — which is better?

Gemini 3.6 Flash (by Google) and Mistral Large 3 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Mistral Large 3 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.6 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.6 Flash if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Mistral Large 3 if…

  • cost matters — it's about 1.1x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.6 Flash and Mistral Large 3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 3 costs less

For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 1.3x cheaper than Mistral Large 3 ($2.00/1M tokens).

For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 1.5x more expensive than Mistral Large 3 ($5.00/1M tokens).

In conclusion, Gemini 3.6 Flash is more expensive than Mistral Large 3.*

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

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
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 3.6 Flash accepts 1,048,576 input tokens compared to Mistral Large 3's 128,000 tokens. Gemini 3.6 Flash can generate longer responses up to 65,536 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.6 Flash and Mistral Large 3 support multimodal inputs.

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

Gemini 3.6 Flash

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.6 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 3.6 Flash

Proprietary

Closed source

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.6 Flash was released on 2026-07-21, while Mistral Large 3 was released on 2025-09-01.

Gemini 3.6 Flash is 11 months newer than Mistral Large 3.

Gemini 3.6 Flash

Jul 21, 2026

0 days ago

10mo newer
Mistral Large 3

Sep 1, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while Mistral Large 3's cutoff date is not specified.

We can confirm Gemini 3.6 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Mistral Large 3's cutoff date.

Gemini 3.6 Flash

Mar 2026

Mistral Large 3

Provider Availability

Gemini 3.6 Flash is available from Google. Mistral Large 3 is available from Mistral AI.

Gemini 3.6 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

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

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Key Takeaways

Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.6 Flash and Mistral Large 3 side-by-side, then vote on the output you prefer.

Gemini 3.6 Flash
✓ Preferred
Mistral Large 3
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.6 Flash
Mistral AI
Mistral Large 3

FAQ

Common questions about Gemini 3.6 Flash vs Mistral Large 3.

Which is better, Gemini 3.6 Flash or Mistral Large 3?

Gemini 3.6 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 3.6 Flash compare to Mistral Large 3 in benchmarks?

Gemini 3.6 Flash scores CharXiv-R: 89.4%, OSWorld-Verified: 83.0%, Terminal-Bench 2.1: 78.0%, MLE-Bench: 63.9%, SWE-Bench Pro: 58.7%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

Is Gemini 3.6 Flash cheaper than Mistral Large 3?

Gemini 3.6 Flash is 1.3x cheaper for input tokens. Gemini 3.6 Flash costs $1.50/M input and $7.50/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 3.6 Flash and Mistral Large 3?

Gemini 3.6 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 3.6 Flash and Mistral Large 3?

Key differences include context window (1.0M vs 128K), input pricing ($1.50 vs $2.00/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.6 Flash and Mistral Large 3?

Gemini 3.6 Flash is developed by Google and Mistral Large 3 is developed by Mistral AI.