Models

Gemini 2.5 Pro Preview 06-05 vs GLM 5.2

Compare Gemini 2.5 Pro Preview 06-05 from Google and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

GoogleGemini 2.5 Pro Preview 06-05Z.AIGLM 5.2
Google logo
Gemini 2.5 Pro Preview 06-05
Google · text, image, audio, video → text

Google’s latest multimodal flagship model, combining exceptional coding and reasoning capabilities. Its massive 1 million token context window (soon to expand to 2 million) places it at the top of the WebDevArena and LMArena leaderboards. It is particularly well-suited for developing aesthetically pleasing and highly functional interactive web applications, code transformation, and complex workflows. The newly introduced "reasoning budget" feature cleverly balances cost and performance, while optimized tool calls and response styles further enhance development efficiency, making it the ideal choice for rapid prototyping and advanced coding.

Input$1.25 /M
Output$10.00 /M
Z.AI logo
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 /M
Output$3.94 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Gemini 2.5 Pro Preview 06-05
GLM 5.2
Input /M
$1.25
$1.13
Output /M
$10.00
$3.94
Cache read /M
$0.13
$0.28
Context length
1,048,576
1,000,000
Max output
65,536
128,000
Time to First Token
8.0 s
0.8 s
Throughput
78.2 tok/s
37.5 tok/s
Modalities
textimageaudiovideo
text
Supported Parameters
thinkingtoolsfunction callingstructured outputslong context
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
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June 16, 2026

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

Activity Past 30 Days

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

gemini-2.5-pro-preview-06-05glm-5.2

Tokens / day

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Requests / day

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Performance Past 3 Days

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

gemini-2.5-pro-preview-06-05glm-5.2

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

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

GLM 5.2
$127 /mo
Gemini 2.5 Pro Preview 06-05
$225 /mo

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

FAQ

Which is cheaper: Gemini 2.5 Pro Preview 06-05, GLM 5.2?

GLM 5.2: $3.94/M output tokens; Gemini 2.5 Pro Preview 06-05: $10.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

GLM 5.2: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

Gemini 2.5 Pro Preview 06-05 accepts 1,048,576 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 2.5 Pro Preview 06-05 and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Gemini 2.5 Pro Preview 06-05 at 78.2 tok/s and GLM 5.2 at 37.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

Gemini 2.5 Pro Preview 06-05 accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs and long context; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call Gemini 2.5 Pro Preview 06-05 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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