Model Comparison 2026

GLM 4.7 vs Mistral Large 3

GLM 4.7
Z.AI · Balanced · Open weights
$0.81/1M · 203K ctx
Mistral Large 3
Mistral · Balanced · Open weights
$0.80/1M · 262K 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
Mistral Large 3
Maker
Z.AI
Mistral
Blended price / 1M
$0.81
$0.80
Input / output
$0.40 in · $1.75 out / 1M tokens
$0.50 in · $1.50 out / 1M tokens
Context window
203K
262K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
8.0
8.0
Agentic Ability
8.2
7.8
Speed
8.0
8.0
Value for $
8.9
8.9
Reliability
8.6
8.6

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

Verdict: GLM 4.7 or Mistral Large 3?

Updated 2026-06-22

Choose GLM 4.7 if you want gLM users wanting a small step up from 4.6. Choose Mistral Large 3 if you want general-purpose open-weight agent work, especially in the EU.

In our editorial scoring, GLM 4.7 leads in 1 of five dimensions (agentic ability), while Mistral Large 3 leads in 0. On price, GLM 4.7 runs about $0.81 per 1M tokens (blended) and is open-weight; Mistral Large 3 is about $0.80 and open-weight.

Where GLM 4.7 falls short
  • Incremental over 4.6
  • 202K context
Full GLM 4.7 breakdown →
Where Mistral Large 3 falls short
  • Below the very top models
  • Less agent-community momentum than GLM/Qwen
Full Mistral Large 3 breakdown →

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