Gemini 3.1 Pro vs GLM-5.2
Pricing & Specs

Google (Gemini) vs Zhipu AI, side by side from a live registry. Specs below, then benchmark both on your own task.

$12
Gemini 3.1 Pro output / 1M
$4.4
GLM-5.2 output / 1M
1.04858M / 262.144K
context windows

TL;DR: On a typical task (1K input + 500 output tokens), GLM-5.2 is about 2.2x cheaper than Gemini 3.1 Pro. But per-token price is not cost per result: a cheaper model that needs more tokens, retries, or hand-holding can end up more expensive on your workload. The specs below are facts; which one is better at YOUR task is measurable, not guessable.

API Pricing: Gemini 3.1 Pro vs GLM-5.2

TokensGemini 3.1 ProGLM-5.2
Input$2 / 1M$1.4 / 1M
Output$12 / 1M$4.4 / 1M
Cached input$0.2 / 1M$0.26 / 1M

What that means in practice (1K input + 500 output tokens)

1x One typical task: $0.0080 on Gemini 3.1 Pro vs $0.0036 on GLM-5.2
1K 1,000 runs: $8.00 vs $3.60
💡 Real cost depends on how verbose each model is on YOUR prompts. Benchmark to measure actual tokens, not estimates.

Specs Compared

SpecGemini 3.1 ProGLM-5.2
Context window1.04858M tokens262.144K tokens
Max output tokens65.536K tokens-
Input modalitiestext, image, video, audio, PDFtext
Knowledge cutoff--
Latency (measured)--
Reasoning modelYesYes
Tool / function callingYesYes
JSON modeYesYes
Prompt cachingYesNo

When to Choose Which

High volume on a budget: start with GLM-5.2; only pay for Gemini 3.1 Pro if the benchmark shows a quality gap that matters.
Long documents or big codebases: Gemini 3.1 Pro has the larger context window (1.04858M vs 262.144K tokens).
Everything else: the honest answer is to benchmark both on your actual task. Quality differences are task-specific and shift with every release.

FAQ

Which is cheaper, Gemini 3.1 Pro or GLM-5.2?

Gemini 3.1 Pro costs $2/$12 per 1M input/output tokens; GLM-5.2 costs $1.4/$4.4. On a typical task (1K input + 500 output tokens), GLM-5.2 is about 2.2x cheaper than Gemini 3.1 Pro.

Which has the bigger context window, Gemini 3.1 Pro or GLM-5.2?

Gemini 3.1 Pro has a 1.04858M-token context window; GLM-5.2 has 262.144K tokens.

Is Gemini 3.1 Pro better than GLM-5.2?

It depends on the task. Generic leaderboards won't tell you which one wins on YOUR workload. OpenMark lets you benchmark Gemini 3.1 Pro and GLM-5.2 head to head on your own task with real API calls, no API keys needed, free tier available.

Gemini 3.1 Pro or GLM-5.2 for YOUR Task?

Spec tables can't answer that. Run both head to head on your actual workload:
real API calls, ranked results with accuracy, cost, and latency. Free tier available.

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