Gemma 4 31B vs MiniMax M3.1 Flash
MiniMax M3.1 Flash leads the LLM Stats Score 48.5 to 33.0. Gemma 4 31B is 1.7x cheaper per token.
Google · MiniMax · Updated for 2026
Which is better?
MiniMax M3.1 Flash leads the overall LLM Stats Score 48.5 to 33.0, ranking #29 overall.
On price, Gemma 4 31B is roughly 1.7x 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 Gemma 4 31B
- cost matters — it's about 1.7x cheaper per token
- you need open weights you can self-host or fine-tune
Choose MiniMax M3.1 Flash
- overall performance matters — it scores 48.5 and ranks #29 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- 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
12 reported for Gemma 4 31B · 14 for MiniMax M3.1 Flash
Gemma 4 31B and MiniMax M3.1 Flashdon'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, Gemma 4 31B ($0.09/1M tokens) is 1.7x cheaper than MiniMax M3.1 Flash ($0.15/1M tokens).
For output processing, Gemma 4 31B ($0.34/1M tokens) is 1.8x cheaper than MiniMax M3.1 Flash ($0.60/1M tokens).
In conclusion, MiniMax M3.1 Flash is more expensive than Gemma 4 31B.*
* 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 Gemma 4 31B's 262,144 tokens. MiniMax M3.1 Flash can generate longer responses up to 524,288 tokens, while Gemma 4 31B is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 4 31B and MiniMax M3.1 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
MiniMax M3.1 Flash
License
Usage and distribution terms
Gemma 4 31B is licensed under Apache 2.0, while MiniMax M3.1 Flash uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while MiniMax M3.1 Flash was released on 2026-10-19.
MiniMax M3.1 Flash is 7 months newer than Gemma 4 31B.
Apr 2, 2026
6 months ago
Oct 19, 2026
0 days ago
6mo newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while MiniMax M3.1 Flash's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without MiniMax M3.1 Flash's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. MiniMax M3.1 Flash is available from MiniMax.
Gemma 4 31B
MiniMax M3.1 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 31B and MiniMax M3.1 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 31B vs MiniMax M3.1 Flash.