Standard Compute
Model Comparison 2026

GLM 4.6 vs MiniMax M2.1

GLM 4.6
Z.AI · Balanced · Open weights
$0.95/1M · 205K ctx
MiniMax M2.1
MiniMax · Balanced · Open weights
$0.57/1M · 205K ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
GLM 4.6
MiniMax M2.1
Maker
Z.AI
MiniMax
Blended price / 1M
$0.95
$0.57
Input / output
$0.50 in · $2.00 out / 1M tokens
$0.30 in · $1.20 out / 1M tokens
Context window
205K
205K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.8
7.8
Agentic Ability
7.9
8.1
Speed
8.0
8.0
Value for $
8.8
9.5
Reliability
8.4
8.3

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: GLM 4.6 or MiniMax M2.1?

Updated 2026-08-02

Choose GLM 4.6 if you want the value pick for open-weight coding agents. Choose MiniMax M2.1 if you want tool-heavy personal and autonomous agents on a budget.

In our editorial scoring, MiniMax M2.1 leads in 2 of five dimensions (agentic ability and value for $), while GLM 4.6 leads in 1. On price, GLM 4.6 runs about $0.95 per 1M tokens (blended) and is open-weight; MiniMax M2.1 is about $0.57 and open-weight.

Where GLM 4.6 falls short
  • Smaller context than the 5.x line
  • Below frontier on the hardest tasks
Full GLM 4.6 breakdown →
Where MiniMax M2.1 falls short
  • Shorter context than M3
  • Behind frontier on quality
Full MiniMax M2.1 breakdown →

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