Model Comparison 2026

DeepSeek R1 (0528) vs GLM 4.7

DeepSeek R1 (0528)
DeepSeek · Balanced · Open weights
$0.99/1M · 164K ctx
GLM 4.7
Z.AI · Balanced · Open weights
$0.81/1M · 203K 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
DeepSeek R1
GLM 4.7
Maker
DeepSeek
Z.AI
Blended price / 1M
$0.99
$0.81
Input / output
$0.50 in · $2.15 out / 1M tokens
$0.40 in · $1.75 out / 1M tokens
Context window
164K
203K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.5
8.0
Agentic Ability
7.0
8.2
Speed
6.8
8.0
Value for $
8.6
8.9
Reliability
8.6
8.6

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

Verdict: DeepSeek R1 or GLM 4.7?

Updated 2026-06-22

Choose DeepSeek R1 (0528) if you want reasoning-heavy planning where cost matters. Choose GLM 4.7 if you want gLM users wanting a small step up from 4.6.

In our editorial scoring, GLM 4.7 leads in 4 of five dimensions (output quality, agentic ability, speed and value for $), while DeepSeek R1 (0528) leads in 0. On price, DeepSeek R1 (0528) runs about $0.99 per 1M tokens (blended) and is open-weight; GLM 4.7 is about $0.81 and open-weight.

Where DeepSeek R1 falls short
  • Slow due to long reasoning
  • Weaker at fast tool loops
Full DeepSeek R1 breakdown →
Where GLM 4.7 falls short
  • Incremental over 4.6
  • 202K context
Full GLM 4.7 breakdown →

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