GPT-6.1 Terra vs Ministral 8B Instruct
GPT-6.1 Terra leads the LLM Stats Score 47.5 to -5.2. Ministral 8B Instruct is 20.0x 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 -5.2, ranking #36 overall.
On price, Ministral 8B Instruct is roughly 20.0x 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 Ministral 8B Instruct
- cost matters — it's about 20.0x 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 · 11 for Ministral 8B Instruct
GPT-6.1 Terra and Ministral 8B 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 10.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 50.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).
In conclusion, GPT-6.1 Terra is more expensive than Ministral 8B 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 Ministral 8B Instruct'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 Ministral 8B 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
Ministral 8B Instruct
License
Usage and distribution terms
GPT-6.1 Terra is licensed under a proprietary license, while Ministral 8B Instruct 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 Ministral 8B Instruct was released on 2024-10-16.
GPT-6.1 Terra is 25 months newer than Ministral 8B Instruct.
Oct 26, 2026
-1 days ago
2.0yr newerOct 16, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a documented knowledge cutoff of 2026-06-01, while Ministral 8B Instruct'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 Ministral 8B Instruct's cutoff date.
Jun 2026
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Provider Availability
GPT-6.1 Terra is available from OpenAI. Ministral 8B Instruct is available from Mistral AI.
GPT-6.1 Terra
Ministral 8B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Ministral 8B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Ministral 8B Instruct.