Model Comparison

Gemini 2.5 Pro Preview 06-05 vs MiniStral 3 (14B Instruct 2512)

Comparing Gemini 2.5 Pro Preview 06-05 and MiniStral 3 (14B Instruct 2512) across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.5 Pro Preview 06-05 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
Fri Apr 17 2026 • llm-stats.com
Google
Gemini 2.5 Pro Preview 06-05
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 Preview 06-05 specifies input context (1,048,576 tokens). Only Gemini 2.5 Pro Preview 06-05 specifies output context (65,535 tokens).

Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Pro Preview 06-05 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 Preview 06-05

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Pro Preview 06-05 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 Preview 06-05

Proprietary

Closed source

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

MiniStral 3 (14B Instruct 2512) is 6 months newer than Gemini 2.5 Pro Preview 06-05.

Gemini 2.5 Pro Preview 06-05

Jun 5, 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 Preview 06-05 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 Preview 06-05'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 Preview 06-05

Jan 2025

MiniStral 3 (14B Instruct 2512)

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)

Detailed Comparison

FAQ

Common questions about Gemini 2.5 Pro Preview 06-05 vs MiniStral 3 (14B Instruct 2512)

Gemini 2.5 Pro Preview 06-05 (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 Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%. 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 Preview 06-05 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 Preview 06-05 is developed by Google and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.