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GPT-6 Astra vs Ministral 3 (14B Base 2512)

GPT-6 Astra leads the LLM Stats Score 59.6 to 3.6.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.6 to 3.6, ranking #1 overall.

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

Choose GPT-6 Astra

  • overall performance matters — it scores 59.6 and ranks #1 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 Base 2512)

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

At a glance

The differences that matter most.

GPT-6 Astra
OpenAI
Ministral 3 (14B Base 2512)
Mistral AI
Core performance indexes
LLM Stats Score
59.6
#1
3.6
#308
Reasoning
57.5
#1
3.5
#300
Cost, coverage & limits
Benchmark wins
—
—
Input price
$10.00 / M
— / M
Output price
$50.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Astra
Ministral 3 (14B Base 2512)
Math
36.0#42
8.8#256
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 6 for Ministral 3 (14B Base 2512)

No common benchmarks found

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

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and Ministral 3 (14B Base 2512) support multimodal inputs.

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

GPT-6 Astra

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Ministral 3 (14B Base 2512) uses Apache 2.0.

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

GPT-6 Astra

Proprietary

Closed source

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Astra was released on 2026-09-04, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

GPT-6 Astra is 9 months newer than Ministral 3 (14B Base 2512).

GPT-6 Astra

Sep 4, 2026

1 weeks ago

9mo newer
Ministral 3 (14B Base 2512)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

GPT-6 Astra has a documented knowledge cutoff of 2026-04-30, while Ministral 3 (14B Base 2512)'s cutoff date is not specified.

We can confirm GPT-6 Astra's training data extends to 2026-04-30, but cannot make a direct comparison without Ministral 3 (14B Base 2512)'s cutoff date.

GPT-6 Astra

Apr 2026

Ministral 3 (14B Base 2512)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

GPT-6 Astra
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground

FAQ

Common questions about GPT-6 Astra vs Ministral 3 (14B Base 2512).

Which is better, GPT-6 Astra or Ministral 3 (14B Base 2512)?

GPT-6 Astra leads the LLM Stats Score 59.6 to 3.6. GPT-6 Astra is made by OpenAI and Ministral 3 (14B 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 Astra compare to Ministral 3 (14B Base 2512) in benchmarks?

GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the context window sizes for GPT-6 Astra and Ministral 3 (14B Base 2512)?

GPT-6 Astra supports 1.1M tokens and Ministral 3 (14B 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 Astra and Ministral 3 (14B Base 2512)?

Key differences include LLM Stats Score (59.6 vs 3.6), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Astra and Ministral 3 (14B Base 2512)?

GPT-6 Astra is developed by OpenAI and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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