Output tokens cost $2.82 per million on glm-5 and $6.00 per million on grok-4.5. Input tokens cost $0.88 per million on glm-5 and $2.00 per million on grok-4.5. Cached input tokens are billed at $0.18 per million on glm-5 and $0.50 per million on grok-4.5. Context lengths are 202,752 tokens on glm-5 and 500,000 tokens on grok-4.5. Time to first token (TTFT) measured on AIHubMix is 1.3s on glm-5 and 2.3s on grok-4.5. Measured output throughput is 39.4 tok/s on glm-5 and 35.1 tok/s on grok-4.5. On the LMArena coding leaderboard glm-5 scores 1498 and grok-4.5 scores 1520.
glm-5
grok-4.5GLM-5 is an advanced, open-source large language model designed for developers tackling the toughest challenges. It excels at long-context reasoning, multi-step tool orchestration, and complex systems engineering, making it the ideal choice for powering sophisticated agents and applications that require high-level cognitive tasks.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
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.
glm-5: $2.82/M output tokens; grok-4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
grok-4.5: 1520; glm-5: 1498 (LMArena coding leaderboard).
glm-5: 1.3s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
glm-5 accepts 202,752 and grok-4.5 accepts 500,000 input tokens.
glm-5 at 39.4 tok/s and grok-4.5 at 35.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
glm-5 accepts text input and supports thinking, tool calling, function calling and structured outputs; grok-4.5 accepts text and image input and supports thinking, 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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