GPT-5.6 Sol vs MiniMax M3
GPT-5.6 Sol leads the LLM Stats Score 54.9 to 41.3. MiniMax M3 is 23.2x cheaper per token.
OpenAI · MiniMax · Updated for 2026
Which is better?
GPT-5.6 Sol leads the overall LLM Stats Score 54.9 to 41.3, ranking #3 overall.
In the 5 individual benchmarks reported for both models, GPT-5.6 Sol wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M3 is roughly 23.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 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-5.6 Sol
- overall performance matters — it scores 54.9 and ranks #3 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose MiniMax M3
- cost matters — it's about 23.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
45 reported for GPT-5.6 Sol · 35 for MiniMax M3
GPT-5.6 Sol outperforms in 5 benchmarks (BrowseComp, FrontierCode 1.1, MMMU-Pro, SWE-Bench Pro, Terminal-Bench 2.1), while MiniMax M3 is better at 0 benchmarks.
GPT-5.6 Sol significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.6 Sol ($5.00/1M tokens) is 17.9x more expensive than MiniMax M3 ($0.28/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 27.3x more expensive than MiniMax M3 ($1.10/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than MiniMax M3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Sol accepts 1,050,000 input tokens compared to MiniMax M3's 524,288 tokens. MiniMax M3 can generate longer responses up to 524,288 tokens, while GPT-5.6 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.6 Sol and MiniMax M3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
MiniMax M3
License
Usage and distribution terms
GPT-5.6 Sol is licensed under a proprietary license, while MiniMax M3 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-5.6 Sol was released on 2026-07-09, while MiniMax M3 was released on 2026-06-01.
GPT-5.6 Sol is 1 month newer than MiniMax M3.
Jul 9, 2026
2 months ago
1mo newerJun 1, 2026
3 months ago
Knowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while MiniMax M3's cutoff date is not specified.
We can confirm GPT-5.6 Sol's training data extends to 2026-02-16, but cannot make a direct comparison without MiniMax M3's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. MiniMax M3 is available from DeepInfra, Fireworks, MiniMax, Novita, Together.
GPT-5.6 Sol
MiniMax M3
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and MiniMax M3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs MiniMax M3.