Model Comparison
Mistral Large 3 vs o1Which is better in 2026?
o1 significantly outperforms across most benchmarks. Mistral Large 3 is 9.5x cheaper per token.
Verdict: Mistral Large 3 vs o1 — which is better?
Mistral Large 3 (by Mistral AI) and o1 (by OpenAI) 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.
Mistral Large 3 outperforms in 0 benchmarks, while o1 is better at 2 benchmarks (MATH, MMMLU). o1 significantly outperforms across most benchmarks.
On price, Mistral Large 3 is roughly 9.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Mistral Large 3 if…
- cost matters — it's about 9.5x cheaper per token
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
Choose o1 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Mistral Large 3 outperforms in 0 benchmarks, while o1 is better at 2 benchmarks (MATH, MMMLU).
o1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Large 3 ($2.00/1M tokens) is 7.5x cheaper than o1 ($15.00/1M tokens).
For output processing, Mistral Large 3 ($5.00/1M tokens) is 12.0x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than Mistral Large 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o1 accepts 200,000 input tokens compared to Mistral Large 3's 128,000 tokens. o1 can generate longer responses up to 100,000 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Mistral Large 3 supports multimodal inputs, whereas o1 does not.
Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Large 3
o1
License
Usage and distribution terms
Mistral Large 3 is licensed under Apache 2.0, while o1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 3 was released on 2025-09-01, while o1 was released on 2024-12-17.
Mistral Large 3 is 9 months newer than o1.
Sep 1, 2025
11 months ago
8mo newerDec 17, 2024
1.6 years 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
Mistral Large 3 is available from Mistral AI. o1 is available from Azure, OpenAI.
Mistral Large 3
o1
Outputs Comparison
Key Takeaways
Mistral Large 3
View detailsMistral AI
o1
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Mistral Large 3 and o1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Mistral Large 3 vs o1.