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gemini-3.1-pro-preview vs glm-5.2

Output tokens cost $12.00 per million on gemini-3.1-pro-preview and $1.97 per million on glm-5.2. Input tokens cost $2.00 per million on gemini-3.1-pro-preview and $0.56 per million on glm-5.2. Cached input tokens are billed at $0.50 per million on gemini-3.1-pro-preview and $0.14 per million on glm-5.2. Discounted rates are shown where a promotion is active. Context windows are 1,000,000 tokens on gemini-3.1-pro-preview and 1,000,000 tokens on glm-5.2. First-token latency measured on AIHubMix is 5.9s on gemini-3.1-pro-preview and 1.8s on glm-5.2. Measured output throughput is 78.6 tokens/s on gemini-3.1-pro-preview and 46.9 tokens/s on glm-5.2.

Googlegemini-3.1-pro-previewZ.AIglm-5.2
+ Add model 2/4
Google
gemini-3.1-pro-preview
Google · text, image, audio, video → text

Gemini 3.1 Pro Preview is designed to further optimize the performance and reliability of the Gemini 3 Pro series, offering improved reasoning capabilities, greater token efficiency, and a more robust, factually consistent user experience. It is optimized for software-engineering behaviors and usability, and is also suitable for agent workflows that require precise tool invocation and reliable multi-step execution, enabling stable operation across a variety of real-world scenarios.

Input$2.00 /M
Output$12.00 /M
Details
up to 50% off·14:00–23:59 UTC
Z.AI
glm-5.2
Z.AI · text → text

GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.

Input$1.13$0.56 /M
Output$3.94$1.97 /M
Details

Specs & Pricing

Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.

gemini-3.1-pro-preview
glm-5.2
Input price
$2.00
$1.13$0.56−50%
Output price
$12.00
$3.94$1.97−50%
Cache read
$0.50
$0.28$0.14−50%
Context window
1,000,000
1,000,000
Max output
64,000
128,000
Latency (first token)
5.9 s
1.8 s
Throughput
78.6 TPS
46.9 TPS
Modalities
textimageaudiovideo
text
Features
thinkingtoolsfunction callingstructured outputswebdeepsearchlong context
thinkingtoolsfunction callingstructured outputs
Endpoints
chat_completions · gemini_api · claude_api
chat_completions · claude_api

Promotional prices show the discounted rate; see each model page for promotion windows.

Usage on AIHubMix last 30 days

Daily traffic served through AIHubMix — how demand for each model is trending.

gemini-3.1-pro-previewglm-5.2

Tokens / day

-

Requests / day

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Live Performance last 3 days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gemini-3.1-pro-previewglm-5.2

Throughput (TPS)

-

Latency (s)

-

Uptime (%)

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Cost Calculator

Estimate your monthly bill for the same workload on each model.

glm-5.2
$127$63.38 /mo
gemini-3.1-pro-preview
$300 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: gemini-3.1-pro-preview, glm-5.2?

glm-5.2: $1.97/M output tokens; gemini-3.1-pro-preview: $12.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

glm-5.2: 1.8s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

gemini-3.1-pro-preview accepts 1,000,000 and glm-5.2 accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on gemini-3.1-pro-preview and 128,000 tokens on glm-5.2.

Which one generates tokens faster?

gemini-3.1-pro-preview at 78.6 tokens/s and glm-5.2 at 46.9 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.

What inputs and capabilities does each model support?

gemini-3.1-pro-preview accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call gemini-3.1-pro-preview and glm-5.2 with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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