GPT-4o vs Pixtral-12B
GPT-4o leads the LLM Stats Score 14.1 to -1.6. Pixtral-12B is 29.2x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4o leads the overall LLM Stats Score 14.1 to -1.6, ranking #246 overall.
In the 6 individual benchmarks reported for both models, GPT-4o wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Pixtral-12B is roughly 29.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- overall performance matters — it scores 14.1 and ranks #246 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
Choose Pixtral-12B
- cost matters — it's about 29.2x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
38 reported for GPT-4o · 12 for Pixtral-12B
GPT-4o outperforms in 6 benchmarks (ChartQA, DocVQA, IFEval, MathVista, MMLU, MMMU), while Pixtral-12B is better at 0 benchmarks.
GPT-4o significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 16.7x more expensive than Pixtral-12B ($0.15/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 66.7x more expensive than Pixtral-12B ($0.15/1M tokens).
In conclusion, GPT-4o is more expensive than Pixtral-12B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. GPT-4o can generate longer responses up to 16,384 tokens, while Pixtral-12B is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4o and Pixtral-12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Pixtral-12B
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Pixtral-12B 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 2024-08-06, while Pixtral-12B was released on 2024-09-17.
Pixtral-12B is 1 month newer than GPT-4o.
Aug 6, 2024
2.1 years ago
Sep 17, 2024
2.0 years ago
1mo 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. Pixtral-12B is available from Mistral AI.
GPT-4o
Pixtral-12B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Pixtral-12B.