Model Comparison

Gemini 3 Pro vs Mistral Large 3

Gemini 3 Pro significantly outperforms across most benchmarks. Mistral Large 3 is 1.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Pro outperforms in 1 benchmarks (MMMLU), while Mistral Large 3 is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 3 costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) costs the same as Mistral Large 3 ($2.00/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 2.4x more expensive than Mistral Large 3 ($5.00/1M tokens).

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

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
Best providerGoogle
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
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Context Window

Maximum input and output token capacity

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

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and Mistral Large 3 support multimodal inputs.

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

Gemini 3 Pro

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro 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 Pro

Proprietary

Closed source

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Mistral Large 3 was released on 2025-09-01.

Gemini 3 Pro is 3 months newer than Mistral Large 3.

Gemini 3 Pro

Nov 18, 2025

4 months ago

2mo newer
Mistral Large 3

Sep 1, 2025

7 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Large 3's cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Mistral Large 3's cutoff date.

Gemini 3 Pro

Jan 2025

Mistral Large 3

—

Provider Availability

Gemini 3 Pro is available from Google. Mistral Large 3 is available from Mistral AI.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

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

Google
Larger context window (1,048,576 tokens)
Higher MMMLU score (91.8% vs 74.2%)
Mistral AI
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Mistral AI
Mistral Large 3

FAQ

Common questions about Gemini 3 Pro vs Mistral Large 3

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Mistral Large 3 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.
Both models cost $2.00 per million input tokens.
Gemini 3 Pro 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.
Key differences include context window (1.0M vs 128K), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 3 Pro is developed by Google and Mistral Large 3 is developed by Mistral AI.