GLM-4.6 vs MiniMax M2
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
GLM-4.6
63.9Z.ai (Zhipu) · Sep 2025
The budget coding-agent favorite of late 2025 — near-Sonnet coding utility with MIT weights and a $3/month plan.
MiniMax M2
68.9MiniMax · Oct 2025
A 10B-active MoE tuned purely for agents and code — striking capability-per-active-parameter at rock-bottom prices.
The verdict
GLM-4.6 and MiniMax M2 split the 4 benchmarks they share evenly (2–2), so capability alone won't settle this one. MiniMax M2 is about 1.9x cheaper per blended million tokens (3:1 input:output mix). MiniMax M2 also takes 205K of context versus 200K for GLM-4.6.
Benchmark head-to-head 2–2
Specs & pricing
| GLM-4.6 | MiniMax M2 | |
|---|---|---|
| modhub Index | 63.9 | 68.9 |
| Input price / 1M | $0.6 | $0.3 |
| Output price / 1M | $2.2 | $1.2 |
| Context window | 200K | 205K |
| Max output | 128K | — |
| Open weights | yes (MIT) | yes (MIT) |
| Reasoning model | yes | yes |
| Multimodal input | text | text |
| Knowledge cutoff | Jul 2025 | Jun 2025 |
| Released | Sep 2025 | Oct 2025 |
| Example monthly cost* | $9.30 | $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-4.6 or MiniMax M2?
- GLM-4.6 and MiniMax M2 split the 4 benchmarks they share evenly (2–2), so capability alone won't settle this one. MiniMax M2 is about 1.9x cheaper per blended million tokens (3:1 input:output mix). MiniMax M2 also takes 205K of context versus 200K for GLM-4.6.
- Which is cheaper, GLM-4.6 or MiniMax M2?
- GLM-4.6 costs $0.6/$2.2 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 $9.30 versus $4.80.
- Which model is better for coding, GLM-4.6 or MiniMax M2?
- On SWE-bench Verified — the standard agentic-coding benchmark — MiniMax M2 scores 69.4% versus 68% for GLM-4.6, making MiniMax M2 the stronger pick for coding agents.