GLM-5.1 vs MiniMax M2

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

GLM-5.1

Z.ai (Zhipu) · Apr 2026

The April 2026 GLM refresh — the first open-weights model to take #1 on SWE-bench Pro, edging out Claude Opus 4.6.

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

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: MiniMax M2 works out roughly 4.1x cheaper per blended million tokens. MiniMax M2 also takes 205K of context versus 200K for GLM-5.1.

Specs & pricing

GLM-5.1MiniMax M2
modhub Index68.9
Input price / 1M$1.4$0.3
Output price / 1M$4.4$1.2
Context window200K205K
Max output128K
Open weightsyes (MIT)yes (MIT)
Reasoning modelyesyes
Multimodal inputtexttext
Knowledge cutoffFeb 2026Jun 2025
ReleasedApr 2026Oct 2025
Example monthly cost*$20.60$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, GLM-5.1 or MiniMax M2?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: MiniMax M2 works out roughly 4.1x cheaper per blended million tokens. MiniMax M2 also takes 205K of context versus 200K for GLM-5.1.
Which is cheaper, GLM-5.1 or MiniMax M2?
GLM-5.1 costs $1.4/$4.4 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 $20.60 versus $4.80.
Which model is better for coding, GLM-5.1 or MiniMax M2?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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