Model Comparison

Gemini 2.5 Pro vs MiniStral 3 (14B Instruct 2512)

Comparing Gemini 2.5 Pro and MiniStral 3 (14B Instruct 2512) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.5 Pro and MiniStral 3 (14B Instruct 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Gemini 2.5 Pro specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro specifies output context (65,536 tokens).

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro and MiniStral 3 (14B Instruct 2512) support multimodal inputs.

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

Gemini 2.5 Pro

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro is licensed under a proprietary license, while MiniStral 3 (14B Instruct 2512) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Pro

Proprietary

Closed source

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

MiniStral 3 (14B Instruct 2512) is 7 months newer than Gemini 2.5 Pro.

Gemini 2.5 Pro

May 20, 2025

10 months ago

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

4 months ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while MiniStral 3 (14B Instruct 2512)'s cutoff date is not specified.

We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without MiniStral 3 (14B Instruct 2512)'s cutoff date.

Gemini 2.5 Pro

Jan 2025

MiniStral 3 (14B Instruct 2512)

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Mistral AI
Has open weights
GoogleGemini 2.5 Pro
Mistral AIMiniStral 3 (14B Instruct 2512)
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Mistral AI
MiniStral 3 (14B Instruct 2512)

FAQ

Common questions about Gemini 2.5 Pro vs MiniStral 3 (14B Instruct 2512)

Gemini 2.5 Pro (Google) and MiniStral 3 (14B Instruct 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemini 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.
Gemini 2.5 Pro supports 1.0M tokens and MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.