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GPT-6.1 Sol vs Ministral 3 (8B Base 2512)

GPT-6.1 Sol leads the LLM Stats Score 52.0 to -1.1.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 52.0 to -1.1, ranking #11 overall.

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

Choose GPT-6.1 Sol

  • overall performance matters — it scores 52.0 and ranks #11 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Ministral 3 (8B Base 2512)

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
Ministral 3 (8B Base 2512)
Mistral AI
Core performance indexes
LLM Stats Score
52.0
#11
-1.1
#341
Reasoning
42.2
#50
-1.2
#335
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

10 reported for GPT-6.1 Sol · 6 for Ministral 3 (8B Base 2512)

No common benchmarks found

GPT-6.1 Sol and Ministral 3 (8B Base 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Ministral 3 (8B Base 2512)
Input- tokens
Output- tokens
Thu Oct 01 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Ministral 3 (8B Base 2512) support multimodal inputs.

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

GPT-6.1 Sol

Text
Images
Audio
Video

Ministral 3 (8B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol is licensed under a proprietary license, while Ministral 3 (8B Base 2512) uses Apache 2.0.

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

GPT-6.1 Sol

Proprietary

Closed source

Ministral 3 (8B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Ministral 3 (8B Base 2512) was released on 2025-12-04.

GPT-6.1 Sol is 10 months newer than Ministral 3 (8B Base 2512).

GPT-6.1 Sol

Sep 29, 2026

2 days ago

9mo newer
Ministral 3 (8B Base 2512)

Dec 4, 2025

10 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Ministral 3 (8B Base 2512)'s cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Ministral 3 (8B Base 2512)'s cutoff date.

GPT-6.1 Sol

Apr 2026

Ministral 3 (8B Base 2512)

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Ministral 3 (8B Base 2512) side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Ministral 3 (8B Base 2512)
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Ministral 3 (8B Base 2512).

Which is better, GPT-6.1 Sol or Ministral 3 (8B Base 2512)?

GPT-6.1 Sol leads the LLM Stats Score 52.0 to -1.1. GPT-6.1 Sol is made by OpenAI and Ministral 3 (8B Base 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 GPT-6.1 Sol compare to Ministral 3 (8B Base 2512) in benchmarks?

GPT-6.1 Sol scores HealthBench Consensus: 96.0%, DeepSWE 1.1: 75.2%, OSWorld 2.0: 71.4%, HealthBench Professional: 64.2%, HealthBench: 58.5%. Ministral 3 (8B Base 2512) scores MMLU-Redux: 79.3%, MMLU: 76.1%, Multilingual MMLU: 70.6%, TriviaQA: 68.1%, MATH (CoT): 62.6%.

What are the context window sizes for GPT-6.1 Sol and Ministral 3 (8B Base 2512)?

GPT-6.1 Sol supports 1.1M tokens and Ministral 3 (8B Base 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 GPT-6.1 Sol and Ministral 3 (8B Base 2512)?

Key differences include LLM Stats Score (52.0 vs -1.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Ministral 3 (8B Base 2512)?

GPT-6.1 Sol is developed by OpenAI and Ministral 3 (8B Base 2512) is developed by Mistral AI.

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