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

GPT-6 Astra leads the LLM Stats Score 59.9 to 20.6. Ministral 3 (14B Reasoning 2512) is 100.0x cheaper per token.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 59.9 to 20.6, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Ministral 3 (14B Reasoning 2512) is roughly 100.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Astra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-6 Astra

  • overall performance matters — it scores 59.9 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Ministral 3 (14B Reasoning 2512)

  • cost matters — it's about 100.0x cheaper per token
  • 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 Reasoning 2512)
Mistral AI
Core performance indexes
LLM Stats Score
59.9
#1
20.6
#192
Reasoning
57.9
#1
20.6
#183
Coding
48.5
#1
11.1
#159
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$10.00 / M
$0.20 / M
Output price
$50.00 / M
$0.20 / M
Context window
1,050,000
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Astra
Ministral 3 (14B Reasoning 2512)
Math
36.0#42
21.1#151
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for GPT-6 Astra · 4 for Ministral 3 (14B Reasoning 2512)

1 shared

GPT-6 Astra outperforms in 1 benchmarks (GPQA), while Ministral 3 (14B Reasoning 2512) is better at 0 benchmarks.

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Sep 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, GPT-6 Astra ($10.00/1M tokens) is 50.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

For output processing, GPT-6 Astra ($50.00/1M tokens) is 250.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).

In conclusion, GPT-6 Astra is more expensive than Ministral 3 (14B Reasoning 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 11 2026 • llm-stats.com
OpenAI
GPT-6 Astra
Input tokens$10.00
Output tokens$50.00
Best providerOpenAI
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-6 Astra accepts 1,050,000 input tokens compared to Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. Ministral 3 (14B Reasoning 2512) can generate longer responses up to 262,100 tokens, while GPT-6 Astra is limited to 128,000 tokens.

OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Astra and Ministral 3 (14B Reasoning 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 Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Astra is licensed under a proprietary license, while Ministral 3 (14B Reasoning 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 Reasoning 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 Reasoning 2512) was released on 2025-12-04.

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

GPT-6 Astra

Sep 4, 2026

5 days ago

9mo newer
Ministral 3 (14B Reasoning 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 Reasoning 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 Reasoning 2512)'s cutoff date.

GPT-6 Astra

Apr 2026

Ministral 3 (14B Reasoning 2512)

—

Provider Availability

GPT-6 Astra is available from OpenAI. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.

GPT-6 Astra

openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

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 Reasoning 2512) side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-6 Astra leads the LLM Stats Score 59.9 to 20.6. GPT-6 Astra is made by OpenAI and Ministral 3 (14B Reasoning 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 Reasoning 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 Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%.

Is GPT-6 Astra cheaper than Ministral 3 (14B Reasoning 2512)?

Ministral 3 (14B Reasoning 2512) is 50.0x cheaper for input tokens. GPT-6 Astra costs $10.00/M input and $50.00/M output via openai. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral.

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

GPT-6 Astra supports 1.1M tokens and Ministral 3 (14B Reasoning 2512) supports 262K 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 Reasoning 2512)?

Key differences include LLM Stats Score (59.9 vs 20.6), context window (1.1M vs 262K), input pricing ($10.00 vs $0.20/M), 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 Reasoning 2512)?

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

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