Model Comparison

Gemini 1.5 Flash vs Pixtral-12B

Gemini 1.5 Flash significantly outperforms across most benchmarks. Pixtral-12B is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

Gemini 1.5 Flash significantly outperforms across most benchmarks.

Fri Apr 17 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 Flash ($0.15/1M tokens) costs the same as Pixtral-12B ($0.15/1M tokens).

For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 4.0x more expensive than Pixtral-12B ($0.15/1M tokens).

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

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
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 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 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemini 1.5 Flash

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 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 1.5 Flash

Proprietary

Closed source

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 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 Flash.

Gemini 1.5 Flash

May 1, 2024

2.0 years ago

Pixtral-12B

Sep 17, 2024

1.6 years ago

4mo newer

Knowledge Cutoff

When training data ends

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

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

Gemini 1.5 Flash

Nov 2023

Pixtral-12B

—

Provider Availability

Gemini 1.5 Flash is available from Google. Pixtral-12B is available from Mistral AI.

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

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
Larger context window (1,048,576 tokens)
Higher HumanEval score (74.3% vs 72.0%)
Higher MATH score (77.9% vs 48.1%)
Higher MathVista score (65.8% vs 58.0%)
Higher MMLU score (78.9% vs 69.2%)
Higher MMMU score (62.3% vs 52.5%)
Mistral AI
Less expensive output tokens
Has open weights
GoogleGemini 1.5 Flash
Mistral AIPixtral-12B
Compare in Playground

Detailed Comparison

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

FAQ

Common questions about Gemini 1.5 Flash vs Pixtral-12B

Gemini 1.5 Flash significantly outperforms across most benchmarks. Gemini 1.5 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.
Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Both models cost $0.15 per million input tokens.
Gemini 1.5 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.
Key differences include context window (1.0M vs 128K), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Flash is developed by Google and Pixtral-12B is developed by Mistral AI.