GPT-4o vs MiniMax M2

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

GPT-4o

OpenAI · May 2024

The 2024 omni-modal classic with native audio in and out; superseded at the frontier but still everywhere in production.

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

MiniMax M2 wins 2 of the 2 benchmarks these models share, against 0 for GPT-4o. On price the gap is dramatic: MiniMax M2 works out roughly 8.3x cheaper per blended million tokens. MiniMax M2 also takes 205K of context versus 128K for GPT-4o. 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 02

SWE-bench Verified
33.2%69.4%
GPT-4oMiniMax M2
GPQA Diamond
53.6%~78%
GPT-4oMiniMax M2

Specs & pricing

GPT-4oMiniMax M2
modhub Index68.9
Input price / 1M$2.5$0.3
Output price / 1M$10$1.2
Context window128K205K
Max output16K
Open weightsnoyes (MIT)
Reasoning modelnoyes
Multimodal inputtext, image, audiotext
Knowledge cutoffOct 2023Jun 2025
ReleasedMay 2024Oct 2025
Example monthly cost*$40.00$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, GPT-4o or MiniMax M2?
MiniMax M2 wins 2 of the 2 benchmarks these models share, against 0 for GPT-4o. On price the gap is dramatic: MiniMax M2 works out roughly 8.3x cheaper per blended million tokens. MiniMax M2 also takes 205K of context versus 128K for GPT-4o. 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, GPT-4o or MiniMax M2?
GPT-4o costs $2.5/$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 $40.00 versus $4.80.
Which model is better for coding, GPT-4o or MiniMax M2?
On SWE-bench Verified — the standard agentic-coding benchmark — MiniMax M2 scores 69.4% versus 33.2% for GPT-4o, making MiniMax M2 the stronger pick for coding agents.

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