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Gemini 1.5 Pro vs Ministral 3 (8B Instruct 2512)

Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512) are closely matched at 11.7 and 7.4 on the LLM Stats Score.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512) are closely matched on the overall LLM Stats Score at 11.7 and 7.4.

In the 1 individual benchmarks reported for both models, Ministral 3 (8B Instruct 2512) wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 1.5 Pro

  • you want predictable pricing at $2.50/M input and $10.00/M output

Choose Ministral 3 (8B Instruct 2512)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Ministral 3 (8B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
11.7
#279
7.4
#308
Reasoning
11.5
#274
9.0
#286
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152
—

Individual benchmarks

23 reported for Gemini 1.5 Pro · 4 for Ministral 3 (8B Instruct 2512)

1 shared

Gemini 1.5 Pro outperforms in 0 benchmarks, while Ministral 3 (8B Instruct 2512) is better at 1 benchmark (MATH).

Ministral 3 (8B Instruct 2512) significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Mistral AI
Ministral 3 (8B Instruct 2512)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512) 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

Ministral 3 (8B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, while Ministral 3 (8B Instruct 2512) 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

Ministral 3 (8B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Ministral 3 (8B Instruct 2512) was released on 2025-12-04.

Ministral 3 (8B Instruct 2512) is 19 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.5 years ago

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

10 months ago

1.6yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Ministral 3 (8B Instruct 2512)'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 Ministral 3 (8B Instruct 2512)'s cutoff date.

Gemini 1.5 Pro

Nov 2023

Ministral 3 (8B Instruct 2512)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512) side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Ministral 3 (8B Instruct 2512)
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Ministral 3 (8B Instruct 2512).

Which is better, Gemini 1.5 Pro or Ministral 3 (8B Instruct 2512)?

Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512) are closely matched on the LLM Stats Score at 11.7 and 7.4. Gemini 1.5 Pro is made by Google and Ministral 3 (8B Instruct 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 1.5 Pro compare to Ministral 3 (8B Instruct 2512) in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. Ministral 3 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%.

What are the context window sizes for Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512)?

Gemini 1.5 Pro supports 2.1M tokens and Ministral 3 (8B Instruct 2512) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512)?

Key differences include LLM Stats Score (11.7 vs 7.4), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Pro and Ministral 3 (8B Instruct 2512)?

Gemini 1.5 Pro is developed by Google and Ministral 3 (8B Instruct 2512) is developed by Mistral AI.

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