Model Comparison

Gemini 3.6 Flash vs Pixtral LargeWhich is better in 2026?

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

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

Gemini 3.6 Flash (by Google) and Pixtral Large (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.

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 Pixtral Large if…

  • 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 Pixtral Largedon'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

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

For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 1.3x more expensive than Pixtral Large ($6.00/1M tokens).

In conclusion, Gemini 3.6 Flash and Pixtral Large cost the same.*

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

Lowest available price from all providers
Fri Jul 24 2026 • llm-stats.com
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
Best providerGoogle
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
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 Pixtral Large's 128,000 tokens. Pixtral Large can generate longer responses up to 128,000 tokens, while Gemini 3.6 Flash is limited to 65,536 tokens.

Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Fri Jul 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.6 Flash and Pixtral Large 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

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.6 Flash is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Gemini 3.6 Flash

Proprietary

Closed source

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Gemini 3.6 Flash was released on 2026-07-21, while Pixtral Large was released on 2024-11-18.

Gemini 3.6 Flash is 20 months newer than Pixtral Large.

Gemini 3.6 Flash

Jul 21, 2026

3 days ago

1.7yr newer
Pixtral Large

Nov 18, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while Pixtral Large'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 Pixtral Large's cutoff date.

Gemini 3.6 Flash

Mar 2026

Pixtral Large

—

Provider Availability

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

Gemini 3.6 Flash

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

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about Gemini 3.6 Flash vs Pixtral Large.

Which is better, Gemini 3.6 Flash or Pixtral Large?

Gemini 3.6 Flash (Google) and Pixtral Large (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 Pixtral Large 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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is Gemini 3.6 Flash cheaper than Pixtral Large?

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. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.

What are the context window sizes for Gemini 3.6 Flash and Pixtral Large?

Gemini 3.6 Flash supports 1.0M tokens and Pixtral Large 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 Pixtral Large?

Key differences include context window (1.0M vs 128K), input pricing ($1.50 vs $2.00/M), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.6 Flash and Pixtral Large?

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

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