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GPT-6 Sol vs MiniStral 3 (14B Instruct 2512)

GPT-6 Sol leads the LLM Stats Score 49.4 to 10.1.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6 Sol leads the overall LLM Stats Score 49.4 to 10.1, ranking #21 overall.

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

Choose GPT-6 Sol

  • overall performance matters — it scores 49.4 and ranks #21 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 (14B Instruct 2512)

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

At a glance

The differences that matter most.

GPT-6 Sol
OpenAI
MiniStral 3 (14B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
49.4
#21
10.1
#271
Reasoning
45.6
#29
11.9
#254
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Sol · 4 for MiniStral 3 (14B Instruct 2512)

No common benchmarks found

GPT-6 Sol and MiniStral 3 (14B Instruct 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 Sol specifies input context (1,050,000 tokens). Only GPT-6 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6 Sol
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Sol and MiniStral 3 (14B Instruct 2512) support multimodal inputs.

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

GPT-6 Sol

Text
Images
Audio
Video

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Sol 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.

GPT-6 Sol

Proprietary

Closed source

MiniStral 3 (14B Instruct 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Sol was released on 2026-09-22, while MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

GPT-6 Sol is 10 months newer than MiniStral 3 (14B Instruct 2512).

GPT-6 Sol

Sep 22, 2026

0 days ago

9mo newer
MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

GPT-6 Sol has a documented knowledge cutoff of 2026-04-20, while MiniStral 3 (14B Instruct 2512)'s cutoff date is not specified.

We can confirm GPT-6 Sol's training data extends to 2026-04-20, but cannot make a direct comparison without MiniStral 3 (14B Instruct 2512)'s cutoff date.

GPT-6 Sol

Apr 2026

MiniStral 3 (14B Instruct 2512)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Sol and MiniStral 3 (14B Instruct 2512) side-by-side, then vote on the output you prefer.

GPT-6 Sol
✓ Preferred
MiniStral 3 (14B Instruct 2512)
Open in Playground

FAQ

Common questions about GPT-6 Sol vs MiniStral 3 (14B Instruct 2512).

Which is better, GPT-6 Sol or MiniStral 3 (14B Instruct 2512)?

GPT-6 Sol leads the LLM Stats Score 49.4 to 10.1. GPT-6 Sol is made by OpenAI and MiniStral 3 (14B 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 GPT-6 Sol compare to MiniStral 3 (14B Instruct 2512) in benchmarks?

GPT-6 Sol scores DeepSWE 1.1: 68.8%, OSWorld 2.0: 64.4%, Agents' Last Exam: 56.4%, FrontierCode 1.1: 49.3%, AutomationBench v1.0.6: 33.2%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.

What are the context window sizes for GPT-6 Sol and MiniStral 3 (14B Instruct 2512)?

GPT-6 Sol supports 1.1M 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.

What are the main differences between GPT-6 Sol and MiniStral 3 (14B Instruct 2512)?

Key differences include LLM Stats Score (49.4 vs 10.1), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Sol and MiniStral 3 (14B Instruct 2512)?

GPT-6 Sol is developed by OpenAI and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.

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