Model Comparison

Gemini 2.0 Flash vs Mistral Large 3Which is better in 2026?

Mistral Large 3 significantly outperforms across most benchmarks. Gemini 2.0 Flash is 15.7x cheaper per token.

Verdict: Gemini 2.0 Flash vs Mistral Large 3 — which is better?

Gemini 2.0 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.

Gemini 2.0 Flash outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MATH). Mistral Large 3 significantly outperforms across most benchmarks.

On price, Gemini 2.0 Flash is roughly 15.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 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 2.0 Flash if…

  • cost matters — it's about 15.7x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose Mistral Large 3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MATH).

Mistral Large 3 significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 20.0x cheaper than Mistral Large 3 ($2.00/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 12.5x cheaper than Mistral Large 3 ($5.00/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Gemini 2.0 Flash.*

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

Lowest available price from all providers
Tue Jul 28 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
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 2.0 Flash accepts 1,048,576 input tokens compared to Mistral Large 3's 128,000 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash and Mistral Large 3 support multimodal inputs.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 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 2.0 Flash

Proprietary

Closed source

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Mistral Large 3 was released on 2025-09-01.

Mistral Large 3 is 9 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.7 years ago

Mistral Large 3

Sep 1, 2025

11 months ago

9mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Mistral Large 3's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Mistral Large 3's cutoff date.

Gemini 2.0 Flash

Aug 2024

Mistral Large 3

—

Provider Availability

Gemini 2.0 Flash is available from Google. Mistral Large 3 is available from Mistral AI.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

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)
Less expensive input tokens
Less expensive output tokens
Mistral AI
Has open weights
Higher MATH score (90.4% vs 89.7%)
GoogleGemini 2.0 Flash
Mistral AIMistral Large 3
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and Mistral Large 3 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash
✓ Preferred
Mistral Large 3
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Mistral AI
Mistral Large 3

FAQ

Common questions about Gemini 2.0 Flash vs Mistral Large 3.

Which is better, Gemini 2.0 Flash or Mistral Large 3?

Mistral Large 3 significantly outperforms across most benchmarks. Gemini 2.0 Flash 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.

How does Gemini 2.0 Flash compare to Mistral Large 3 in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

Is Gemini 2.0 Flash cheaper than Mistral Large 3?

Gemini 2.0 Flash is 20.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/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 2.0 Flash and Mistral Large 3?

Gemini 2.0 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 2.0 Flash and Mistral Large 3?

Key differences include context window (1.0M vs 128K), input pricing ($0.10 vs $2.00/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Mistral Large 3?

Gemini 2.0 Flash is developed by Google and Mistral Large 3 is developed by Mistral AI.

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