Output tokens cost $3.94 per million on GLM 5.2 and $0.55 per million on Qwen3 Coder Next. Input tokens cost $1.13 per million on GLM 5.2 and $0.14 per million on Qwen3 Coder Next. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.14 per million on Qwen3 Coder Next. Context lengths are 1,000,000 tokens on GLM 5.2 and 2,000,000 tokens on Qwen3 Coder Next. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.5s on Qwen3 Coder Next. Measured output throughput is 44.5 tok/s on GLM 5.2 and 15.7 tok/s on Qwen3 Coder Next.
GLM 5.2
Qwen3 Coder NextGLM-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.
The Qwen3 series is a next-generation code-generation model with results close to Qwen3-Coder-Plus while offering superior performance. The model is optimized for repository-level understanding, supports multi-turn tool interactions, and improves compatibility with agentic coding tools.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Qwen3 Coder Next: $0.55/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Qwen3 Coder Next: 0.5s 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 Qwen3 Coder Next accepts 2,000,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 64,000 tokens on Qwen3 Coder Next.
GLM 5.2 at 44.5 tok/s and Qwen3 Coder Next at 15.7 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; Qwen3 Coder Next accepts text input and supports tool calling, function calling and structured outputs.
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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