Models

GLM 5.2 vs GPT 4.1 Nano (free)

Context lengths are 1,000,000 tokens on GLM 5.2 and 1,047,576 tokens on GPT 4.1 Nano (free). Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 0.3s on GPT 4.1 Nano (free). Measured output throughput is 37.3 tok/s on GLM 5.2 and 109.6 tok/s on GPT 4.1 Nano (free). On the LMArena coding leaderboard GLM 5.2 scores 1505 and GPT 4.1 Nano (free) scores 1374.

Z.AIGLM 5.2OpenAIGPT 4.1 Nano (free)
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
OpenAI logo
GPT 4.1 Nano (free)
OpenAI · text, image → text

This free model API comes from the OpenAI model deployed on Azure. To prevent abuse, the external content filter provided by Azure has been enforced, which will result in additional delays. If you want to experience the full version of the model API without filters, please use the paid version and request the model name ID without "-free".

Input$0.00 /M
Output$0.00 /M

Pricing & Specifications

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

GLM 5.2
GPT 4.1 Nano (free)
Input /M
$1.13
$0.00
Output /M
$3.94
$0.00
Cache read /M
$0.28
$0.00
Context length
1,000,000
1,047,576
Max output
128,000
32,768
Time to First Token
1.1 s
0.3 s
Throughput
37.3 tok/s
109.6 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
toolsfunction callingstructured outputslong context
API Formats
chat_completions · claude_api
Released
June 16, 2026
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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.

glm-5.2gpt-4.1-nano-free

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.

glm-5.2gpt-4.1-nano-free

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
glm-5.2gpt-4.1-nano-free
1240132014001480
Overall
13221470
Coding
13741505
Math
12741475
Hard prompts
13331488
Instruction following
13011462
Multi-turn
13141470
Creative writing
13071450
Longer query
13251479
Chinese
13211516
English
13401477

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

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

GPT 4.1 Nano (free)
$0.00 /mo
GLM 5.2
$127 /mo

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

FAQ

How do their coding arena scores compare?

GLM 5.2: 1505; GPT 4.1 Nano (free): 1374 (LMArena coding leaderboard).

Which responds faster?

GPT 4.1 Nano (free): 0.3s 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?

GLM 5.2 accepts 1,000,000 and GPT 4.1 Nano (free) accepts 1,047,576 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 32,768 tokens on GPT 4.1 Nano (free).

Which one generates tokens faster?

GPT 4.1 Nano (free) at 109.6 tok/s and GLM 5.2 at 37.3 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; GPT 4.1 Nano (free) accepts text and image input and supports tool calling, function calling, structured outputs and long context.

Can I call GLM 5.2 and GPT 4.1 Nano (free) 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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