GPT-6 Sol vs Mistral Small 3.2 24B Instruct
GPT-6 Sol leads the LLM Stats Score 49.0 to 8.4. Mistral Small 3.2 24B Instruct is 37.6x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.0 to 8.4, ranking #24 overall.
On price, Mistral Small 3.2 24B Instruct is roughly 37.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Sol 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 Sol
- overall performance matters — it scores 49.0 and ranks #24 on LLM Stats
- your work emphasizes reasoning — 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 Sep 2026
Choose Mistral Small 3.2 24B Instruct
- cost matters — it's about 37.6x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
5 reported for GPT-6 Sol · 15 for Mistral Small 3.2 24B Instruct
GPT-6 Sol and Mistral Small 3.2 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 Sol ($2.00/1M tokens) is 26.7x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).
For output processing, GPT-6 Sol ($10.00/1M tokens) is 50.0x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).
In conclusion, GPT-6 Sol is more expensive than Mistral Small 3.2 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Sol accepts 1,050,000 input tokens compared to Mistral Small 3.2 24B Instruct'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 Sol and Mistral Small 3.2 24B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Sol
Mistral Small 3.2 24B Instruct
License
Usage and distribution terms
GPT-6 Sol is licensed under a proprietary license, while Mistral Small 3.2 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 Sol was released on 2026-09-22, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.
GPT-6 Sol is 15 months newer than Mistral Small 3.2 24B Instruct.
Sep 22, 2026
1 weeks ago
1.3yr newerJun 20, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
GPT-6 Sol has a knowledge cutoff of 2026-04-20, while Mistral Small 3.2 24B Instruct has a cutoff of 2023-10-01.
GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to Mistral Small 3.2 24B Instruct (2023-10-01).
Apr 2026
2.5 yr newerOct 2023
Provider Availability
GPT-6 Sol is available from OpenAI. Mistral Small 3.2 24B Instruct is available from DeepInfra.
GPT-6 Sol
Mistral Small 3.2 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Sol and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Sol vs Mistral Small 3.2 24B Instruct.