Models

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.

Z.AIGLM 4.6GrokGrok 4.5
Z.AI logo
GLM 4.6
Z.AI · text → text

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.

Input$0.27 /M
Output$1.10 /M
Grok logo
Grok 4.5
Grok · text, image → text

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.

Input$2.00 /M
Output$6.00 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

GLM 4.6
Grok 4.5
Input /M
$0.27
$2.00
Output /M
$1.10
$6.00
Cache read /M
$0.05
$0.50
Context length
204,800
500,000
Max output
131,072
500,000
Time to First Token
3.1 s
1.7 s
Throughput
45.4 tok/s
26.6 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputslong context
API Formats
Released
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July 2026

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.

glm-4.6grok-4.5

Tokens / day

-

Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

glm-4.6grok-4.5

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
glm-4.6grok-4.5
13801420146015001540
Overall
14251470
Coding
14591523
Math
14211478
Hard prompts
14421495
Instruction following
14151466
Multi-turn
14221477
Creative writing
14031449
Longer query
14331485
Chinese
14821511
English
14371475
WebDev Arena
glm-4.6grok-4.5
1340142015001580
Overall
13551556
React
15591559
HTML
13631577
Gaming
15861586
Simulations
15981598
Data analytics
15221522

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.

GLM 4.6
$32.88 /mo
Grok 4.5
$210 /mo

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.

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