Model Comparison

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

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

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

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

On price, Gemini 2.0 Flash-Lite 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-Lite 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-Lite if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 1.2x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2025

Choose Pixtral-12B if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash-Lite costs less

For input processing, Gemini 2.0 Flash-Lite ($0.07/1M tokens) is 2.1x cheaper than Pixtral-12B ($0.15/1M tokens).

For output processing, Gemini 2.0 Flash-Lite ($0.30/1M tokens) is 2.0x more expensive than Pixtral-12B ($0.15/1M tokens).

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

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Google
Gemini 2.0 Flash-Lite
Input tokens$0.07
Output tokens$0.30
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-Lite 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-Lite
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash-Lite and Pixtral-12B support multimodal inputs.

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

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite 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-Lite

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Pixtral-12B was released on 2024-09-17.

Gemini 2.0 Flash-Lite is 5 months newer than Pixtral-12B.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.4 years ago

4mo newer
Pixtral-12B

Sep 17, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a documented knowledge cutoff of 2024-06-01, while Pixtral-12B's cutoff date is not specified.

We can confirm Gemini 2.0 Flash-Lite's training data extends to 2024-06-01, but cannot make a direct comparison without Pixtral-12B's cutoff date.

Gemini 2.0 Flash-Lite

Jun 2024

Pixtral-12B

—

Provider Availability

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

Gemini 2.0 Flash-Lite

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Less expensive input tokens
Higher MATH score (86.8% vs 48.1%)
Higher MMMU score (68.0% vs 52.5%)
Mistral AI
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Pixtral-12B side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Pixtral-12B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Mistral AI
Pixtral-12B

FAQ

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

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

Gemini 2.0 Flash-Lite significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite 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-Lite compare to Pixtral-12B in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

Is Gemini 2.0 Flash-Lite cheaper than Pixtral-12B?

Gemini 2.0 Flash-Lite is 2.1x cheaper for input tokens. Gemini 2.0 Flash-Lite costs $0.07/M input and $0.30/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-Lite and Pixtral-12B?

Gemini 2.0 Flash-Lite 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-Lite and Pixtral-12B?

Key differences include context window (1.0M vs 128K), input pricing ($0.07 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-Lite and Pixtral-12B?

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

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