Gemini 3.1 Pro vs MiniMax M2

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

Gemini 3.1 Pro

Google · Mar 2026

Google's flagship with the industry's largest context window — 2M tokens — and frontier multimodal reasoning at $2/$12.

MiniMax M2

MiniMax · Oct 2025

68.9

A 10B-active MoE tuned purely for agents and code — striking capability-per-active-parameter at rock-bottom prices.

The verdict

Gemini 3.1 Pro wins 1 of the 1 benchmarks these models share, against 0 for MiniMax M2. On price the gap is dramatic: MiniMax M2 works out roughly 8.6x cheaper per blended million tokens. Gemini 3.1 Pro also takes 2M of context versus 205K for MiniMax M2. And MiniMax M2 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.

Benchmark head-to-head 10

SWE-bench Verified
~78%69.4%
Gemini 3.1 ProMiniMax M2

Specs & pricing

Gemini 3.1 ProMiniMax M2
modhub Index68.9
Input price / 1M$2$0.3
Output price / 1M$12$1.2
Context window2M205K
Max output66K
Open weightsnoyes (MIT)
Reasoning modelyesyes
Multimodal inputtext, image, audio, videotext
Knowledge cutoffNov 2025Jun 2025
ReleasedMar 2026Oct 2025
Example monthly cost*$38.00$4.80

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, Gemini 3.1 Pro or MiniMax M2?
Gemini 3.1 Pro wins 1 of the 1 benchmarks these models share, against 0 for MiniMax M2. On price the gap is dramatic: MiniMax M2 works out roughly 8.6x cheaper per blended million tokens. Gemini 3.1 Pro also takes 2M of context versus 205K for MiniMax M2. And MiniMax M2 is open-weights (MIT), so it can be self-hosted — a structural advantage if data control or vendor independence matters.
Which is cheaper, Gemini 3.1 Pro or MiniMax M2?
Gemini 3.1 Pro costs $2/$12 per million input/output tokens, while MiniMax M2 costs $0.3/$1.2. For a typical workload of 10M input and 1.5M output tokens per month, that's $38.00 versus $4.80.
Which model is better for coding, Gemini 3.1 Pro or MiniMax M2?
On SWE-bench Verified — the standard agentic-coding benchmark — Gemini 3.1 Pro scores ~78% versus 69.4% for MiniMax M2, making Gemini 3.1 Pro the stronger pick for coding agents.

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