GPT-4o vs Min istral 3 (3B Reasoning 2512)
GPT-4o significantly outperforms across most benchmarks. Min istral 3 (3B Reasoning 2512) is 43.8x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4o outperforms in 1 benchmarks (GPQA), while Min istral 3 (3B Reasoning 2512) is better at 0 benchmarks. GPT-4o significantly outperforms across most benchmarks.
On price, Min istral 3 (3B Reasoning 2512) is roughly 43.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Min istral 3 (3B Reasoning 2512) also accepts a larger context window (131,100 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-4o
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Choose Min istral 3 (3B Reasoning 2512)
- cost matters — it's about 43.8x cheaper per token
- you process long inputs — it offers a 131,100 token context window
- you want the most recent training data — it shipped Dec 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o outperforms in 1 benchmarks (GPQA), while Min istral 3 (3B Reasoning 2512) is better at 0 benchmarks.
GPT-4o significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 25.0x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 100.0x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
In conclusion, GPT-4o is more expensive than Min istral 3 (3B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Min istral 3 (3B Reasoning 2512) accepts 131,100 input tokens compared to GPT-4o's 128,000 tokens. Min istral 3 (3B Reasoning 2512) can generate longer responses up to 131,100 tokens, while GPT-4o is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Both GPT-4o and Min istral 3 (3B Reasoning 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Min istral 3 (3B Reasoning 2512)
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Min istral 3 (3B 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-4o was released on 2024-05-13, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.
Min istral 3 (3B Reasoning 2512) is 19 months newer than GPT-4o.
May 13, 2024
2.3 years ago
Dec 4, 2025
8 months ago
1.6yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Min istral 3 (3B Reasoning 2512) is available from Mistral AI.
GPT-4o
Min istral 3 (3B Reasoning 2512)
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Min istral 3 (3B Reasoning 2512) side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Min istral 3 (3B Reasoning 2512).
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