Output tokens cost $3.94 per million on GLM 5.2 and $0.20 per million on Llama 4 Maverick. Input tokens cost $1.13 per million on GLM 5.2 and $0.20 per million on Llama 4 Maverick. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.20 per million on Llama 4 Maverick. Context lengths are 1,000,000 tokens on GLM 5.2 and 1,048,576 tokens on Llama 4 Maverick. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.2s on Llama 4 Maverick. Measured output throughput is 45.3 tok/s on GLM 5.2 and 97.8 tok/s on Llama 4 Maverick. On the LMArena coding leaderboard GLM 5.2 scores 1505 and Llama 4 Maverick scores 1373.
GLM 5.2
Llama 4 MaverickGLM-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.
Llama 4 Maverick is a high-capacity Mixture-of-Experts (MoE) model from Meta, featuring 400B total parameters and 128 experts, while activating an efficient 17B parameters per inference. Engineered for peak performance, it excels at advanced multimodal tasks. Maverick natively supports text and image input, producing multilingual text and code. With a 1-million-token context window and instruction tuning, it is optimized for complex image reasoning and general-purpose assistant-like interactions. Released under the Llama 4 Community License, Maverick is ideal for research and commercial applications demanding state-of-the-art multimodal understanding and high throughput.
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.
Llama 4 Maverick: $0.20/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; Llama 4 Maverick: 1373 (LMArena coding leaderboard).
Llama 4 Maverick: 0.2s 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 Llama 4 Maverick accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 32,000 tokens on Llama 4 Maverick.
Llama 4 Maverick at 97.8 tok/s and GLM 5.2 at 45.3 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; Llama 4 Maverick accepts text and image 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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