Mistral Large 4 vs o1-mini
Mistral Large 4 leads the LLM Stats Score 46.2 to 10.0. Mistral Large 4 is 5.1x cheaper per token.
Mistral AI · OpenAI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.2 to 10.0, ranking #34 overall.
On price, Mistral Large 4 is roughly 5.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Large 4
- overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 5.1x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose o1-mini
- you want predictable pricing at $3.00/M input and $12.00/M output
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Mistral Large 4 · 6 for o1-mini
Mistral Large 4 and o1-minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Large 4 ($0.68/1M tokens) is 4.4x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 5.7x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to o1-mini's 128,000 tokens. Only o1-mini specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas o1-mini does not.
Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Mistral Large 4
o1-mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 4 was released on 2026-10-06, while o1-mini was released on 2024-09-12.
Mistral Large 4 is 25 months newer than o1-mini.
Oct 6, 2026
2 days ago
2.1yr newerSep 12, 2024
2.1 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 4 is available from Mistral AI. o1-mini is available from OpenAI, Azure.
Mistral Large 4
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs o1-mini.