Model Comparison 2026

GLM 4.7 vs MiniMax M2.1

GLM 4.7
Z.AI · Balanced · Open weights
$0.81/1M · 203K ctx
MiniMax M2.1
MiniMax · Balanced · Open weights
$0.49/1M · 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 4.7
MiniMax M2.1
Maker
Z.AI
MiniMax
Blended price / 1M
$0.81
$0.49
Input / output
$0.40 in · $1.75 out / 1M tokens
$0.29 in · $0.95 out / 1M tokens
Context window
203K
205K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.0
7.8
Agentic Ability
8.2
8.1
Speed
8.0
8.0
Value for $
8.9
9.5
Reliability
8.6
8.3

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

Verdict: GLM 4.7 or MiniMax M2.1?

Updated 2026-06-22

Choose GLM 4.7 if you want gLM users wanting a small step up from 4.6. Choose MiniMax M2.1 if you want tool-heavy personal and autonomous agents on a budget.

In our editorial scoring, GLM 4.7 leads in 3 of five dimensions (output quality, agentic ability and reliability), while MiniMax M2.1 leads in 1. On price, GLM 4.7 runs about $0.81 per 1M tokens (blended) and is open-weight; MiniMax M2.1 is about $0.49 and open-weight.

Where GLM 4.7 falls short
  • Incremental over 4.6
  • 202K context
Full GLM 4.7 breakdown →
Where MiniMax M2.1 falls short
  • Shorter context than M3
  • Behind frontier on quality
Full MiniMax M2.1 breakdown →

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