Model Comparison

Gemini 1.0 Pro vs Pixtral-12B

Pixtral-12B shows notably better performance in the majority of benchmarks. Pixtral-12B is 5.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 1.0 Pro outperforms in 1 benchmarks (MMLU), while Pixtral-12B is better at 3 benchmarks (MATH, MathVista, MMMU).

Pixtral-12B shows notably better performance in the majority of benchmarks.

Sun Apr 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 3.3x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 10.0x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than Pixtral-12B.*

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

Lowest available price from all providers
Sun Apr 12 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
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

Pixtral-12B accepts 128,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sun Apr 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral-12B supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.0 Pro

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.0 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 1.0 Pro

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while Pixtral-12B was released on 2024-09-17.

Pixtral-12B is 7 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Pixtral-12B

Sep 17, 2024

1.6 years ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Pixtral-12B's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Pixtral-12B's cutoff date.

Gemini 1.0 Pro

Feb 2024

Pixtral-12B

—

Provider Availability

Gemini 1.0 Pro is available from Google. Pixtral-12B is available from Mistral AI.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

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

Google
Higher MMLU score (71.8% vs 69.2%)
Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH score (48.1% vs 32.6%)
Higher MathVista score (58.0% vs 46.6%)
Higher MMMU score (52.5% vs 47.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
Mistral AI
Pixtral-12B

FAQ

Common questions about Gemini 1.0 Pro vs Pixtral-12B

Pixtral-12B shows notably better performance in the majority of benchmarks. Gemini 1.0 Pro 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.
Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Pixtral-12B is 3.3x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.
Gemini 1.0 Pro supports 33K tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 128K), input pricing ($0.50 vs $0.15/M), multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.0 Pro is developed by Google and Pixtral-12B is developed by Mistral AI.