Gemini 1.5 Pro vs Pixtral-12B Comparison

Comparing Gemini 1.5 Pro and Pixtral-12B across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemini 1.5 Pro outperforms in 5 benchmarks (HumanEval, MATH, MathVista, MMLU, MMMU), while Pixtral-12B is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Thu Mar 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 16.7x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 66.7x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than Pixtral-12B.*

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

Lowest available price from all providers
Thu Mar 19 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
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 1.5 Pro accepts 2,097,152 input tokens compared to Pixtral-12B's 128,000 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Thu Mar 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Pixtral-12B support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro 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 1.5 Pro

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Pixtral-12B was released on 2024-09-17.

Pixtral-12B is 5 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

Pixtral-12B

Sep 17, 2024

1.5 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Pixtral-12B's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Pixtral-12B's cutoff date.

Gemini 1.5 Pro

Nov 2023

Pixtral-12B

—

Provider Availability

Gemini 1.5 Pro is available from Google. Pixtral-12B is available from Mistral AI. The availability of providers can affect quality of the model and reliability.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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 (2,097,152 tokens)
Higher HumanEval score (84.1% vs 72.0%)
Higher MATH score (86.5% vs 48.1%)
Higher MathVista score (68.1% vs 58.0%)
Higher MMLU score (85.9% vs 69.2%)
Higher MMMU score (65.9% vs 52.5%)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
Mistral AI
Pixtral-12B