GPT-6.1 Terra vs Mistral Large 4
GPT-6.1 Terra and Mistral Large 4 are closely matched at 47.5 and 46.8 on the LLM Stats Score. Mistral Large 4 is 1.9x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6.1 Terra and Mistral Large 4 are closely matched on the overall LLM Stats Score at 47.5 and 46.8.
In the 1 individual benchmarks reported for both models, GPT-6.1 Terra wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Terra also accepts a larger context window (1,050,000 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 GPT-6.1 Terra
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Mistral Large 4
- cost matters — it's about 1.9x cheaper per token
- 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
8 reported for GPT-6.1 Terra · 20 for Mistral Large 4
GPT-6.1 Terra outperforms in 1 benchmarks (Terminal-Bench 4.0), while Mistral Large 4 is better at 0 benchmarks.
GPT-6.1 Terra 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-6.1 Terra ($1.00/1M tokens) is 1.4x more expensive than Mistral Large 4 ($0.70/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 2.4x more expensive than Mistral Large 4 ($2.10/1M tokens).
In conclusion, GPT-6.1 Terra 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
GPT-6.1 Terra accepts 1,050,000 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only GPT-6.1 Terra specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-6.1 Terra and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6.1 Terra
Mistral Large 4
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Mistral Large 4 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
GPT-6.1 Terra was released on 2026-10-26, while Mistral Large 4 was released on 2026-10-06.
GPT-6.1 Terra is 1 month newer than Mistral Large 4.
Oct 26, 2026
0 days ago
2w newerOct 6, 2026
2 weeks ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Mistral Large 4's cutoff date is not specified.
We can confirm GPT-6.1 Terra's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Jun 2026
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Provider Availability
GPT-6.1 Terra is available from OpenAI. Mistral Large 4 is available from Mistral AI.
GPT-6.1 Terra
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Mistral Large 4.