Output tokens cost $3.94 per million on GLM 5.2 and $1.60 per million on GPT 4.1 Mini. Input tokens cost $1.13 per million on GLM 5.2 and $0.40 per million on GPT 4.1 Mini. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.10 per million on GPT 4.1 Mini. Context lengths are 1,000,000 tokens on GLM 5.2 and 1,047,576 tokens on GPT 4.1 Mini. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.7s on GPT 4.1 Mini. Measured output throughput is 42.1 tok/s on GLM 5.2 and 58.0 tok/s on GPT 4.1 Mini. On the LMArena coding leaderboard GLM 5.2 scores 1505 and GPT 4.1 Mini scores 1434.
GLM 5.2
GPT 4.1 MiniGLM-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.
Lightweight, high-performance model with million-token context and near-flagship-level encoding and image understanding capabilities, while reducing costs by 83%. It is suitable for rapid development and small to medium-sized applications. The automatic caching mechanism provides a 75% cost reduction on cache hits.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
GPT 4.1 Mini: $1.60/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; GPT 4.1 Mini: 1434 (LMArena coding leaderboard).
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.
GLM 5.2 accepts 1,000,000 and GPT 4.1 Mini 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 Mini.
GPT 4.1 Mini at 58.0 tok/s and GLM 5.2 at 42.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; GPT 4.1 Mini accepts text and image input and supports tool calling, function calling, structured outputs and long context.
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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