Model Comparison

Gemini 2.0 Flash vs Pixtral-12BWhich is better in 2026?

Gemini 2.0 Flash significantly outperforms across most benchmarks. Pixtral-12B is 1.2x cheaper per token.

Verdict: Gemini 2.0 Flash vs Pixtral-12B — which is better?

Gemini 2.0 Flash (by Google) and Pixtral-12B (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 2 benchmarks (MATH, MMMU), while Pixtral-12B is better at 0 benchmarks. Gemini 2.0 Flash significantly outperforms across most benchmarks.

On price, Pixtral-12B is roughly 1.2x 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…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Dec 2024

Choose Pixtral-12B if…

  • cost matters — it's about 1.2x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash outperforms in 2 benchmarks (MATH, MMMU), while Pixtral-12B is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 1.5x cheaper than Pixtral-12B ($0.15/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 2.7x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Gemini 2.0 Flash is more expensive than Pixtral-12B.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
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 Pixtral-12B'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
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash and Pixtral-12B 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

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash is licensed under a proprietary license, while Pixtral-12B 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

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Pixtral-12B was released on 2024-09-17.

Gemini 2.0 Flash is 3 months newer than Pixtral-12B.

Gemini 2.0 Flash

Dec 1, 2024

1.5 years ago

2mo newer
Pixtral-12B

Sep 17, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Pixtral-12B'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 Pixtral-12B's cutoff date.

Gemini 2.0 Flash

Aug 2024

Pixtral-12B

Provider Availability

Gemini 2.0 Flash is available from Google. Pixtral-12B is available from Mistral AI.

Gemini 2.0 Flash

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

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* 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
Higher MATH score (89.7% vs 48.1%)
Higher MMMU score (70.7% vs 52.5%)
Less expensive output tokens
Has open weights
GoogleGemini 2.0 Flash
Mistral AIPixtral-12B

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Mistral AI
Pixtral-12B

FAQ

Common questions about Gemini 2.0 Flash vs Pixtral-12B.

Which is better, Gemini 2.0 Flash or Pixtral-12B?

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and Pixtral-12B 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 Pixtral-12B in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

Is Gemini 2.0 Flash cheaper than Pixtral-12B?

Gemini 2.0 Flash is 1.5x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for Gemini 2.0 Flash and Pixtral-12B?

Gemini 2.0 Flash supports 1.0M tokens and Pixtral-12B 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 Pixtral-12B?

Key differences include context window (1.0M vs 128K), input pricing ($0.10 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and Pixtral-12B?

Gemini 2.0 Flash is developed by Google and Pixtral-12B is developed by Mistral AI.