GPT-5.2 vs MiniMax M3.1 Flash
MiniMax M3.1 Flash leads the LLM Stats Score 48.5 to 41.1. MiniMax M3.1 Flash is 18.3x cheaper per token.
OpenAI · MiniMax · Updated for 2026
Which is better?
MiniMax M3.1 Flash leads the overall LLM Stats Score 48.5 to 41.1, ranking #29 overall.
In the 1 individual benchmarks reported for both models, MiniMax M3.1 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, MiniMax M3.1 Flash is roughly 18.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M3.1 Flash also accepts a larger context window (1,000,000 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-5.2
- you want predictable pricing at $1.75/M input and $14.00/M output
Choose MiniMax M3.1 Flash
- overall performance matters — it scores 48.5 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 18.3x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- 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
24 reported for GPT-5.2 · 14 for MiniMax M3.1 Flash
GPT-5.2 outperforms in 0 benchmarks, while MiniMax M3.1 Flash is better at 1 benchmark (CharXiv-R).
MiniMax M3.1 Flash 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-5.2 ($1.75/1M tokens) is 11.7x more expensive than MiniMax M3.1 Flash ($0.15/1M tokens).
For output processing, GPT-5.2 ($14.00/1M tokens) is 23.3x more expensive than MiniMax M3.1 Flash ($0.60/1M tokens).
In conclusion, GPT-5.2 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
MiniMax M3.1 Flash accepts 1,000,000 input tokens compared to GPT-5.2's 400,000 tokens. MiniMax M3.1 Flash can generate longer responses up to 524,288 tokens, while GPT-5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 and MiniMax M3.1 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2
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-5.2 was released on 2025-12-11, while MiniMax M3.1 Flash was released on 2026-10-19.
MiniMax M3.1 Flash is 10 months newer than GPT-5.2.
Dec 11, 2025
10 months ago
Oct 19, 2026
-2 days ago
10mo newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while MiniMax M3.1 Flash's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without MiniMax M3.1 Flash's cutoff date.
Aug 2025
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Provider Availability
GPT-5.2 is available from OpenAI. MiniMax M3.1 Flash is available from MiniMax.
GPT-5.2
MiniMax M3.1 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 and MiniMax M3.1 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 vs MiniMax M3.1 Flash.