Model Comparison
GPT-5.4 vs Ministral 3 (14B Reasoning 2512)Which is better in 2026?
GPT-5.4 significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is 28.1x cheaper per token.
Verdict: GPT-5.4 vs Ministral 3 (14B Reasoning 2512) — which is better?
GPT-5.4 (by OpenAI) and Ministral 3 (14B Reasoning 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-5.4 outperforms in 1 benchmarks (GPQA), while Ministral 3 (14B Reasoning 2512) is better at 0 benchmarks. GPT-5.4 significantly outperforms across most benchmarks.
On price, Ministral 3 (14B Reasoning 2512) is roughly 28.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-5.4 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Mar 2026
Choose Ministral 3 (14B Reasoning 2512) if…
- cost matters — it's about 28.1x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-5.4 outperforms in 1 benchmarks (GPQA), while Ministral 3 (14B Reasoning 2512) is better at 0 benchmarks.
GPT-5.4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.4 ($2.50/1M tokens) is 12.5x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
For output processing, GPT-5.4 ($15.00/1M tokens) is 75.0x more expensive than Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens).
In conclusion, GPT-5.4 is more expensive than Ministral 3 (14B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.4 accepts 1,000,000 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-5.4 is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-5.4 and Ministral 3 (14B Reasoning 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.4
Ministral 3 (14B Reasoning 2512)
License
Usage and distribution terms
GPT-5.4 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5.4 was released on 2026-03-05, while Ministral 3 (14B Reasoning 2512) was released on 2025-12-04.
GPT-5.4 is 3 months newer than Ministral 3 (14B Reasoning 2512).
Mar 5, 2026
3 months ago
3mo newerDec 4, 2025
6 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.4 is available from OpenAI. Ministral 3 (14B Reasoning 2512) is available from Mistral AI.
GPT-5.4
Ministral 3 (14B Reasoning 2512)
Outputs Comparison
Key Takeaways
GPT-5.4
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about GPT-5.4 vs Ministral 3 (14B Reasoning 2512).