gemini-2.5-flash-lite-preview-09-2025-nothink
Google · text, image, audio, video → text
gemini-2.5-flash-lite latest preview version
Input$0.10 /M
Output$0.40 /M
← Modelsgemini-2.5-flash-lite-preview-09-2025-nothink
GLM 5.2
gemini-2.5-flash-lite-preview-09-2025-nothink vs GLM 5.2
Output tokens cost $0.40 per million on gemini-2.5-flash-lite-preview-09-2025-nothink and $3.94 per million on GLM 5.2. Input tokens cost $0.10 per million on gemini-2.5-flash-lite-preview-09-2025-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-preview-09-2025-nothink and $0.28 per million on GLM 5.2. Context lengths are 1,048,576 tokens on gemini-2.5-flash-lite-preview-09-2025-nothink and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 0.8s on gemini-2.5-flash-lite-preview-09-2025-nothink and 0.6s on GLM 5.2. Measured output throughput is 204.8 tok/s on gemini-2.5-flash-lite-preview-09-2025-nothink and 46.0 tok/s on GLM 5.2.
gemini-2.5-flash-lite-preview-09-2025-nothinkGLM 5.2+ Add model · 2/4
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-preview-09-2025-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
0.8 s
0.6 s
Throughput
204.8 tok/s
46.0 tok/s
Modalities
textimageaudiovideo
text
Supported Parameters
toolsfunction callingstructured outputs
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-preview-09-2025-nothinkglm-5.2
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
gemini-2.5-flash-lite-preview-09-2025-nothinkglm-5.2
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
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Cost calculator
Estimate your monthly bill for the same workload on each model.
gemini-2.5-flash-lite-preview-09-2025-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-preview-09-2025-nothink, GLM 5.2?
gemini-2.5-flash-lite-preview-09-2025-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?
GLM 5.2: 0.6s 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-preview-09-2025-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-preview-09-2025-nothink and 128,000 tokens on GLM 5.2.
Which one generates tokens faster?
gemini-2.5-flash-lite-preview-09-2025-nothink at 204.8 tok/s and GLM 5.2 at 46.0 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-preview-09-2025-nothink accepts text, image, audio and video input and supports tool calling, function calling and structured outputs; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Can I call gemini-2.5-flash-lite-preview-09-2025-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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