Standard Compute
Model comparison 2026

Gemini 3.1 Pro vs GLM 5.3

Gemini 3.1 Pro
Google · Frontier · Proprietary
$5.00/1M · 1.0M ctx
GLM 5.3
Z.AI · Frontier · Open weights
$1.50/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

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 money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Gemini 3.1 Pro
GLM 5.3
Maker
Google
Z.AI
Blended price / 1M
$5.00
$1.50
Input / output
$2.00 in · $12 out / 1M tokens
$0.08 in · $4.80 out / 1M tokens
Context window
1.0M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.2
9.3
Agentic Ability
9.0
9.4
Speed
7.5
7.8
Value for money
8.1
9.0
Reliability
8.8
8.8

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

Verdict: Gemini 3.1 Pro or GLM 5.3?

Updated 2026-10-13

Choose Gemini 3.1 Pro if you want huge-context and multimodal work, and Gemini CLI users. Choose GLM 5.3 if you want open-weight coding agents that need near-frontier agentic ability.

In our editorial scoring, GLM 5.3 leads in 4 of five dimensions (output quality, agentic ability, speed and value for money), while Gemini 3.1 Pro leads in 0. On price, Gemini 3.1 Pro runs about $5.00 per 1M tokens (blended) and is proprietary; GLM 5.3 is about $1.50 and open-weight.

Where Gemini 3.1 Pro falls short
  • Tool use a touch behind Claude/GPT on some agents
  • Preview-tier stability varies
Full Gemini 3.1 Pro breakdown →
Where GLM 5.3 falls short
  • Custom license with conditions for very large hosting providers
  • Reasoning cannot be turned off
Full GLM 5.3 breakdown →

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