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.
GLM 5.2 vs Qwen Mt Turbo
Output tokens cost $3.94 per million on GLM 5.2 and $0.53 per million on Qwen Mt Turbo. Input tokens cost $1.13 per million on GLM 5.2 and $0.19 per million on Qwen Mt Turbo. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.19 per million on Qwen Mt Turbo. Context lengths are 1,000,000 tokens on GLM 5.2 and 16,000 tokens on Qwen Mt Turbo. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.5s on Qwen Mt Turbo. Measured output throughput is 42.2 tok/s on GLM 5.2 and 12.2 tok/s on Qwen Mt Turbo.
GLM 5.2Based on the comprehensive upgrade of Qwen3, this flagship translation large model supports bidirectional translation across 92 languages. It offers fully enhanced model performance and translation quality, along with more stable terminology customization, format fidelity, and domain-prompting capabilities, making translations more accurate and natural.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GLM 5.2, Qwen Mt Turbo?
Qwen Mt Turbo: $0.53/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Qwen Mt Turbo: 0.5s 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 Qwen Mt Turbo accepts 16,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 8,000 tokens on Qwen Mt Turbo.
Which one generates tokens faster?
GLM 5.2 at 42.2 tok/s and Qwen Mt Turbo at 12.2 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; Qwen Mt Turbo accepts text input.
Can I call GLM 5.2 and Qwen Mt Turbo 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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