Output tokens cost $3.94 per million on GLM 5.2 and $0.50 per million on grok-4-1-fast-non-reasoning. Input tokens cost $1.13 per million on GLM 5.2 and $0.20 per million on grok-4-1-fast-non-reasoning. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.05 per million on grok-4-1-fast-non-reasoning. Context lengths are 1,000,000 tokens on GLM 5.2 and 2,000,000 tokens on grok-4-1-fast-non-reasoning. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.7s on grok-4-1-fast-non-reasoning. Measured output throughput is 46.0 tok/s on GLM 5.2 and 72.1 tok/s on grok-4-1-fast-non-reasoning. On the LMArena coding leaderboard GLM 5.2 scores 1505 and grok-4-1-fast-non-reasoning scores 1493.
GLM 5.2
grok-4-1-fast-non-reasoningGLM-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.
Grok 4.1 is a new conversational model with significant improvements in real-world usability, delivering exceptional performance in creative, emotional, and collaborative interactions. It is more perceptive to nuanced user intent, more engaging to converse with, and more coherent in personality, while fully preserving its core intelligence and reliability. Built on large-scale reinforcement learning infrastructure, the model is optimized for style, personality, helpfulness, and alignment, and leverages frontier agentic reasoning models as reward evaluators to autonomously assess and iterate on responses at scale, significantly enhancing overall interaction quality.
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.
grok-4-1-fast-non-reasoning: $0.50/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; grok-4-1-fast-non-reasoning: 1493 (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 grok-4-1-fast-non-reasoning accepts 2,000,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 2,000,000 tokens on grok-4-1-fast-non-reasoning.
grok-4-1-fast-non-reasoning at 72.1 tok/s and GLM 5.2 at 46.0 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; grok-4-1-fast-non-reasoning 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.
Related model match-ups readers also look at.
AIHubMix