Models

gemini-2.5-flash-lite-nothink vs GLM 5.2

Output tokens cost $0.40 per million on gemini-2.5-flash-lite-nothink and $3.94 per million on GLM 5.2. Input tokens cost $0.10 per million on gemini-2.5-flash-lite-nothink and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.01 per million on gemini-2.5-flash-lite-nothink and $0.28 per million on GLM 5.2. Context lengths are 1,048,576 tokens on gemini-2.5-flash-lite-nothink and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 0.9s on gemini-2.5-flash-lite-nothink and 1.1s on GLM 5.2. Measured output throughput is 237.4 tok/s on gemini-2.5-flash-lite-nothink and 37.0 tok/s on GLM 5.2.

Googlegemini-2.5-flash-lite-nothinkZ.AIGLM 5.2
Google logo
gemini-2.5-flash-lite-nothink
Google · text, image, audio, video → text

Gemini 2.5 Flash-Lite is a balanced model from Google, optimized for applications that require low-latency performance. It retains the practical capabilities of the Gemini 2.5 family, including configurable reasoning based on budget, integration with tools such as grounding via Google Search and code execution, multimodal input support, and an ultra-long context window of up to 1 million tokens, delivering a strong balance between efficiency, functionality, and cost.

Input$0.10 /M
Output$0.40 /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-flash-lite-nothink
GLM 5.2
Input /M
$0.10
$1.13
Output /M
$0.40
$3.94
Cache read /M
$0.01
$0.28
Context length
1,048,576
1,000,000
Max output
65,536
128,000
Time to First Token
0.9 s
1.1 s
Throughput
237.4 tok/s
37.0 tok/s
Modalities
textimageaudiovideo
text
Supported Parameters
toolsfunction 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-flash-lite-nothinkglm-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-flash-lite-nothinkglm-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.

gemini-2.5-flash-lite-nothink
$12.00 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: gemini-2.5-flash-lite-nothink, GLM 5.2?

gemini-2.5-flash-lite-nothink: $0.40/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

gemini-2.5-flash-lite-nothink: 0.9s 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-flash-lite-nothink 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-flash-lite-nothink and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

gemini-2.5-flash-lite-nothink at 237.4 tok/s and GLM 5.2 at 37.0 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-flash-lite-nothink accepts text, image, audio and video input and supports 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-flash-lite-nothink 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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