Model Comparison 2026

DeepSeek V4 Flash vs GLM 5.2

DeepSeek V4 Flash
DeepSeek · Budget · Open weights
$0.18/1M · 1.0M ctx
GLM 5.2
Z.AI · Frontier · Open weights
$1.26/1M · 1.0M ctx

Community Vote

Pick a winner in each dimension — change your vote anytime. 8 votes cast so far.

Output Quality
Correctness and depth of what it produces
DeepSeek V4 Flash 0%100% GLM 5.2
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
DeepSeek V4 Flash 0%100% GLM 5.2
Speed
Tokens per second and time-to-first-token
DeepSeek V4 Flash 0%100% GLM 5.2
Value for $
How much capability you get per dollar
DeepSeek V4 Flash 0%100% GLM 5.2
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
DeepSeek V4 Flash
GLM 5.2
Maker
DeepSeek
Z.AI
Blended price / 1M
$0.18
$1.26
Input / output
$0.14 in · $0.28 out / 1M tokens
$0.77 in · $2.42 out / 1M tokens
Context window
1.0M
1.0M
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
9.0
Agentic Ability
8.1
9.2
Speed
9.0
7.6
Value for $
10.0
8.8
Reliability
8.9
8.7

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

Verdict: DeepSeek V4 Flash or GLM 5.2?

Updated 2026-08-02

Choose DeepSeek V4 Flash if you want cheap, high-volume open-weight agent steps. Choose GLM 5.2 if you want open-weight coding agents that want a long context.

In our editorial scoring, DeepSeek V4 Flash leads in 3 of five dimensions (speed, value for $ and reliability), while GLM 5.2 leads in 2. On price, DeepSeek V4 Flash runs about $0.18 per 1M tokens (blended) and is open-weight; GLM 5.2 is about $1.26 and open-weight.

Across 8 community votes on this matchup, GLM 5.2 currently leads in 4 of five dimensions. Cast your own vote above to move the needle.

Where DeepSeek V4 Flash falls short
  • Not for the hardest tasks
  • Quality below V4 Pro
Full DeepSeek V4 Flash breakdown →
Where GLM 5.2 falls short
  • Just behind the closed flagships on hard tasks
  • Hosted throughput varies
Full GLM 5.2 breakdown →

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