GPT-6.1 Terra vs Mistral Large 2
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 6.9. GPT-6.1 Terra is 1.5x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to 6.9, ranking #36 overall.
On price, GPT-6.1 Terra is roughly 1.5x 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
- overall performance matters — it scores 47.5 and ranks #36 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 1.5x cheaper per token
- 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 2
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
8 reported for GPT-6.1 Terra · 5 for Mistral Large 2
GPT-6.1 Terra and Mistral Large 2don'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, GPT-6.1 Terra ($1.00/1M tokens) is 2.0x cheaper than Mistral Large 2 ($2.00/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 1.2x cheaper than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Mistral Large 2 is more expensive than GPT-6.1 Terra.*
* 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 2's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Mistral Large 2 does not.
GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6.1 Terra
Mistral Large 2
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Mistral Large 2 uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
GPT-6.1 Terra was released on 2026-10-26, while Mistral Large 2 was released on 2024-07-24.
GPT-6.1 Terra is 27 months newer than Mistral Large 2.
Oct 26, 2026
-1 days ago
2.3yr newerJul 24, 2024
2.3 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Mistral Large 2'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 2's cutoff date.
Jun 2026
—
Provider Availability
GPT-6.1 Terra is available from OpenAI. Mistral Large 2 is available from Google, Mistral AI.
GPT-6.1 Terra
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Mistral Large 2.