Model Comparison 2026

Gemini 3.1 Pro vs GLM 5.2

Gemini 3.1 Pro
Google · Frontier · Proprietary
$5.00/1M · 1.0M ctx
GLM 5.2
Z.AI · Frontier · Open weights
$1.61/1M · 1.0M 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
Gemini 3.1 Pro
GLM 5.2
Maker
Google
Z.AI
Blended price / 1M
$5.00
$1.61
Input / output
$2.00 in · $12 out / 1M tokens
$0.98 in · $3.08 out / 1M tokens
Context window
1.0M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.2
9.0
Agentic Ability
9.0
9.2
Speed
7.5
7.6
Value for $
8.1
8.8
Reliability
8.8
8.7

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

Verdict: Gemini 3.1 Pro or GLM 5.2?

Updated 2026-06-22

Choose Gemini 3.1 Pro if you want huge-context and multimodal work, and Gemini CLI users. Choose GLM 5.2 if you want open-weight coding agents that want a long context.

In our editorial scoring, GLM 5.2 leads in 3 of five dimensions (agentic ability, speed and value for $), while Gemini 3.1 Pro leads in 2. On price, Gemini 3.1 Pro runs about $5.00 per 1M tokens (blended) and is proprietary; GLM 5.2 is about $1.61 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 5.2 falls short
  • Just behind the closed flagships on hard tasks
  • Hosted throughput varies
Full GLM 5.2 breakdown →

The model is half the story — the agent is the other half

The model picks the moves; the agent runs the loop, the tools, and the guardrails. Once you've chosen a model, see which agent gets the most out of it.

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