GLM-4.6 is Zhipu’s latest flagship model (total parameters 355B, activation parameters 32B), comprehensively surpassing GLM-4.5. Its coding capability is aligned with Claude Sonnet 4, making it a top domestic coding model; the context window has been expanded from 128K to 200K, better suited for long code and agent tasks; inference capabilities have been significantly enhanced and support tool invocation during processing; improvements have been made in tool calling, search agents, writing style, role play, and multilingual translation. The model is named glm-4.6 and is provided by three vendors, with calls prioritized to the Sophnet platform.
GLM 4.6 vs Grok 4.5
Output tokens cost $1.10 per million on GLM 4.6 and $6.00 per million on Grok 4.5. Input tokens cost $0.27 per million on GLM 4.6 and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.05 per million on GLM 4.6 and $0.50 per million on Grok 4.5. Context lengths are 204,800 tokens on GLM 4.6 and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 3.1s on GLM 4.6 and 1.7s on Grok 4.5. Measured output throughput is 45.4 tok/s on GLM 4.6 and 26.6 tok/s on Grok 4.5. On the LMArena coding leaderboard GLM 4.6 scores 1459 and Grok 4.5 scores 1523.
GLM 4.6Grok 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.
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 (%)
LMArena Benchmarks
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.
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 4.6, Grok 4.5?
GLM 4.6: $1.10/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Grok 4.5: 1523; GLM 4.6: 1459 (LMArena coding leaderboard).
Which responds faster?
Grok 4.5: 1.7s 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 4.6 accepts 204,800 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 131,072 tokens on GLM 4.6 and 500,000 tokens on Grok 4.5.
Which one generates tokens faster?
GLM 4.6 at 45.4 tok/s and Grok 4.5 at 26.6 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 4.6 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.
Can I call GLM 4.6 and Grok 4.5 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.
Popular comparisons
Related model match-ups readers also look at.
