GPT-5.6 Sol vs MiniMax M3.1 Flash
GPT-5.6 Sol and MiniMax M3.1 Flash are closely matched at 53.2 and 48.5 on the LLM Stats Score. MiniMax M3.1 Flash is 42.9x cheaper per token.
OpenAI · MiniMax · Updated for 2026
Which is better?
GPT-5.6 Sol and MiniMax M3.1 Flash are closely matched on the overall LLM Stats Score at 53.2 and 48.5.
In the 5 individual benchmarks reported for both models, GPT-5.6 Sol wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M3.1 Flash is roughly 42.9x 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
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- you process long inputs — it offers a 1,050,000 token context window
Choose MiniMax M3.1 Flash
- cost matters — it's about 42.9x cheaper per token
- you want the most recent training data — it shipped Oct 2026
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 · 14 for MiniMax M3.1 Flash
GPT-5.6 Sol outperforms in 3 benchmarks (Agents' Last Exam, GDP.pdf, OSWorld 2.0), while MiniMax M3.1 Flash is better at 2 benchmarks (DeepSWE 1.1, Terminal-Bench 4.0).
GPT-5.6 Sol has a slight edge in benchmark performance.
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 33.3x more expensive than MiniMax M3.1 Flash ($0.15/1M tokens).
For output processing, GPT-5.6 Sol ($30.00/1M tokens) is 50.0x more expensive than MiniMax M3.1 Flash ($0.60/1M tokens).
In conclusion, GPT-5.6 Sol is more expensive than MiniMax M3.1 Flash.*
* 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 M3.1 Flash's 1,000,000 tokens. MiniMax M3.1 Flash 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 M3.1 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.6 Sol
MiniMax M3.1 Flash
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-5.6 Sol was released on 2026-07-09, while MiniMax M3.1 Flash was released on 2026-10-19.
MiniMax M3.1 Flash is 3 months newer than GPT-5.6 Sol.
Jul 9, 2026
3 months ago
Oct 19, 2026
0 days ago
3mo newerKnowledge Cutoff
When training data ends
GPT-5.6 Sol has a documented knowledge cutoff of 2026-02-16, while MiniMax M3.1 Flash'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 M3.1 Flash's cutoff date.
Feb 2026
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Provider Availability
GPT-5.6 Sol is available from OpenAI. MiniMax M3.1 Flash is available from MiniMax.
GPT-5.6 Sol
MiniMax M3.1 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.6 Sol and MiniMax M3.1 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.6 Sol vs MiniMax M3.1 Flash.