Mistral Large 2 vs o1-mini
Mistral Large 2 and o1-mini are closely matched at 8.1 and 10.5 on the LLM Stats Score. Mistral Large 2 is 1.8x cheaper per token.
Mistral AI · OpenAI · Updated for 2026
Which is better?
Mistral Large 2 and o1-mini are closely matched on the overall LLM Stats Score at 8.1 and 10.5.
In the 2 individual benchmarks reported for both models, o1-mini wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 2 is roughly 1.8x 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 Mistral Large 2
- cost matters — it's about 1.8x cheaper per token
- you need open weights you can self-host or fine-tune
Choose o1-mini
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for Mistral Large 2 · 6 for o1-mini
Mistral Large 2 outperforms in 0 benchmarks, while o1-mini is better at 2 benchmarks (HumanEval, MMLU).
o1-mini 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, Mistral Large 2 ($2.00/1M tokens) is 1.5x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Mistral Large 2 ($6.00/1M tokens) is 2.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than Mistral Large 2.*
* 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. Mistral Large 2 can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.
License
Usage and distribution terms
Mistral Large 2 is licensed under Mistral Research License, while o1-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Mistral Research License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 2 was released on 2024-07-24, while o1-mini was released on 2024-09-12.
o1-mini is 2 months newer than Mistral Large 2.
Jul 24, 2024
2.1 years ago
Sep 12, 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
Mistral Large 2 is available from Google, Mistral AI. o1-mini is available from OpenAI, Azure.
Mistral Large 2
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 2 and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 2 vs o1-mini.