GPT-6.1 Terra vs Mistral Small 3 24B Instruct
GPT-6.1 Terra leads the LLM Stats Score 47.5 to 3.7. Mistral Small 3 24B Instruct is 34.8x 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 3.7, ranking #36 overall.
On price, Mistral Small 3 24B Instruct is roughly 34.8x 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
- 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 Small 3 24B Instruct
- cost matters — it's about 34.8x cheaper per token
- 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 · 8 for Mistral Small 3 24B Instruct
GPT-6.1 Terra and Mistral Small 3 24B Instructdon'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 20.0x more expensive than Mistral Small 3 24B Instruct ($0.05/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 62.5x more expensive than Mistral Small 3 24B Instruct ($0.08/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Mistral Small 3 24B Instruct.*
* 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 Small 3 24B Instruct's 32,768 tokens. GPT-6.1 Terra can generate longer responses up to 128,000 tokens, while Mistral Small 3 24B Instruct is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Mistral Small 3 24B Instruct 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 Small 3 24B Instruct
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Mistral Small 3 24B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-6.1 Terra was released on 2026-10-26, while Mistral Small 3 24B Instruct was released on 2025-01-30.
GPT-6.1 Terra is 21 months newer than Mistral Small 3 24B Instruct.
Oct 26, 2026
4 days ago
1.7yr newerJan 30, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a knowledge cutoff of 2026-06-01, while Mistral Small 3 24B Instruct has a cutoff of 2023-10-01.
GPT-6.1 Terra has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Mistral Small 3 24B Instruct (2023-10-01).
Jun 2026
2.7 yr newerOct 2023
Provider Availability
GPT-6.1 Terra is available from OpenAI. Mistral Small 3 24B Instruct is available from DeepInfra, Mistral AI.
GPT-6.1 Terra
Mistral Small 3 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Mistral Small 3 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Mistral Small 3 24B Instruct.