Model comparison
Pixtral 12B (24.09) vs GPT-4o mini
- Input
- $0.15 / 1M tokens
- Output
- $0.15 / 1M tokens
- Context
- 128K tokens (131,072)
- Released
- 2024-09-17
- Input
- $0.15 per 1M tokens
- Output
- $0.60 per 1M tokens
- Context
- 128K tokens
- Released
- 2024-07-18
GPT-4o mini scores higher on 4 of the 4 benchmarks both models report; both charge the same $0.2 per 1M input tokens; Pixtral 12B (24.09) ships open weights while GPT-4o mini is API-only.
Specs and pricing side by side
| Spec | Pixtral 12B (24.09) | GPT-4o mini |
|---|---|---|
| Maker | Mistral AI | OpenAI |
| Released | 2024-09-17 | 2024-07-18 |
| Context window | 128K tokens (131,072) | 128K tokens |
| Max output | Not separately published by Mistral | 16,384 tokens |
| Input price | $0.15 / 1M tokens | $0.15 per 1M tokens |
| Output price | $0.15 / 1M tokens | $0.60 per 1M tokens |
| Parameters | ~12B decoder + ~400M vision encoder (~12.4B total) | Not disclosed by OpenAI |
| License | Apache 2.0 | Proprietary (OpenAI commercial terms; available via API and ChatGPT) |
| Weights | Open weights | API only |
| Modalities | text, image | text input, image input (vision), text output |
| Knowledge cutoff | Not officially published by Mistral | October 2023 |
Benchmarks both models report
| Benchmark | Pixtral 12B (24.09) | GPT-4o mini |
|---|---|---|
| MMMU | 52% | 59.4% |
| MMLU | 69.2% | 82% |
| HumanEval | 72% | 87.2% |
| MATH | 48.1% | 70.2% |
Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.
Which one should you pick?
Pick Pixtral 12B (24.09) if…
- You want to self-host or fine-tune (open weights, Apache 2.0).
- You need text / image input, which GPT-4o mini lacks.
- Your use case is: document and form understanding (OCR-style extraction, document QA).
Pick GPT-4o mini if…
- You care about MMMU, MMLU, HumanEval (it scores higher on 4 shared benchmarks).
- You need text input / image input (vision) / text output input, which Pixtral 12B (24.09) lacks.
- Your use case is: high-volume text classification, tagging, and content moderation where cost per call matters.
FAQ
Which is better, Pixtral 12B (24.09) or GPT-4o mini?
GPT-4o mini scores higher on 4 of the 4 benchmarks both models report; both charge the same $0.2 per 1M input tokens; Pixtral 12B (24.09) ships open weights while GPT-4o mini is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.
How do Pixtral 12B (24.09) and GPT-4o mini pricing compare?
Pixtral 12B (24.09): $0.15 / 1M tokens input, $0.15 / 1M tokens output. GPT-4o mini: $0.15 per 1M tokens input, $0.60 per 1M tokens output (list API prices as published by each maker).
What are the context windows of Pixtral 12B (24.09) and GPT-4o mini?
Pixtral 12B (24.09) offers 128K tokens (131,072) with up to Not separately published by Mistral output; GPT-4o mini offers 128K tokens with up to 16,384 tokens output.
Is Pixtral 12B (24.09) newer than GPT-4o mini?
Pixtral 12B (24.09) was released 2024-09-17; GPT-4o mini was released 2024-07-18.