GPT-6 Cyber vs Mistral Small 3.1 24B Base
GPT-6 Cyber leads the LLM Stats Score 41.0 to -0.3. Mistral Small 3.1 24B Base is 266.7x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Cyber leads the overall LLM Stats Score 41.0 to -0.3, ranking #79 overall.
On price, Mistral Small 3.1 24B Base is roughly 266.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Cyber 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 Cyber
- overall performance matters — it scores 41.0 and ranks #79 on LLM Stats
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 266.7x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
1 reported for GPT-6 Cyber · 5 for Mistral Small 3.1 24B Base
GPT-6 Cyber and Mistral Small 3.1 24B Basedon'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 Cyber ($20.00/1M tokens) is 200.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, GPT-6 Cyber ($100.00/1M tokens) is 333.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, GPT-6 Cyber is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Cyber accepts 1,050,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Cyber and Mistral Small 3.1 24B Base support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Cyber
Mistral Small 3.1 24B Base
License
Usage and distribution terms
GPT-6 Cyber is licensed under a proprietary license, while Mistral Small 3.1 24B Base 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 Cyber was released on 2026-11-05, while Mistral Small 3.1 24B Base was released on 2025-03-17.
GPT-6 Cyber is 20 months newer than Mistral Small 3.1 24B Base.
Nov 5, 2026
4 days ago
1.6yr newerMar 17, 2025
1.6 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
GPT-6 Cyber is available from OpenAI. Mistral Small 3.1 24B Base is available from Mistral AI.
GPT-6 Cyber
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Cyber and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Cyber vs Mistral Small 3.1 24B Base.