Gemini 2.5 Pro vs MiniMax M2

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

Gemini 2.5 Pro

Google · Mar 2025

70.9

Google's 2025 workhorse flagship — first mainstream thinking model with a 1M context, still widely deployed.

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 2.5 Pro wins 2 of the 3 benchmarks these models share, against 1 for MiniMax M2. On price the gap is dramatic: MiniMax M2 works out roughly 6.5x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M 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 21

SWE-bench Verified
63.8%69.4%
Gemini 2.5 ProMiniMax M2
GPQA Diamond
86.4%~78%
Gemini 2.5 ProMiniMax M2
MMLU-Pro
86.2%~82%
Gemini 2.5 ProMiniMax M2

Specs & pricing

Gemini 2.5 ProMiniMax M2
modhub Index70.968.9
Input price / 1M$1.25$0.3
Output price / 1M$10$1.2
Context window1.0M205K
Max output66K
Open weightsnoyes (MIT)
Reasoning modelyesyes
Multimodal inputtext, image, audio, videotext
Knowledge cutoffJan 2025Jun 2025
ReleasedMar 2025Oct 2025
Example monthly cost*$27.50$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 2.5 Pro or MiniMax M2?
Gemini 2.5 Pro wins 2 of the 3 benchmarks these models share, against 1 for MiniMax M2. On price the gap is dramatic: MiniMax M2 works out roughly 6.5x cheaper per blended million tokens. Gemini 2.5 Pro also takes 1.0M 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 2.5 Pro or MiniMax M2?
Gemini 2.5 Pro costs $1.25/$10 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 $27.50 versus $4.80.
Which model is better for coding, Gemini 2.5 Pro or MiniMax M2?
On SWE-bench Verified — the standard agentic-coding benchmark — MiniMax M2 scores 69.4% versus 63.8% for Gemini 2.5 Pro, making MiniMax M2 the stronger pick for coding agents.

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