GLM 4.7 vs Grok 4.5

Output tokens cost $1.10 per million on GLM 4.7 and $6.00 per million on Grok 4.5. Input tokens cost $0.27 per million on GLM 4.7 and $2.00 per million on Grok 4.5. Cached input tokens are billed at $0.05 per million on GLM 4.7 and $0.50 per million on Grok 4.5. Context lengths are 200,000 tokens on GLM 4.7 and 500,000 tokens on Grok 4.5. Time to first token (TTFT) measured on AIHubMix is 2.0s on GLM 4.7 and 1.7s on Grok 4.5. Measured output throughput is 42.4 tok/s on GLM 4.7 and 26.6 tok/s on Grok 4.5. On the LMArena coding leaderboard GLM 4.7 scores 1485 and Grok 4.5 scores 1523.

GLM 4.7

Grok 4.5

+ Add model · 2/4

GLM 4.7

Z.AI · text → text

GLM-4.7 is Zhiyuan's latest flagship model. GLM-4.7 enhances coding capabilities, long-range task planning, and tool collaboration for Agentic Coding scenarios, achieving leading performance among open-source models on several current public benchmarks. It features improved general capabilities, with responses that are more concise and natural, and writing that is more immersive. When executing complex agent tasks and tool usage, it follows instructions more strictly, with further improvements in the frontend aesthetics of Artifacts and Agentic Coding as well as the efficiency of completing long-range tasks.

Input$0.27 /M

Output$1.10 /M

Details

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

Details

Pricing & Specifications

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

GLM 4.7

Grok 4.5

Input /M

$0.27

$2.00

Output /M

$1.10

$6.00

Cache read /M

$0.05

$0.50

Context length

200,000

500,000

Max output

128,000

500,000

Time to First Token

2.0 s

1.7 s

Throughput

42.4 tok/s

26.6 tok/s

Modalities

text

textimage

Supported Parameters

thinkingtoolsfunction callingstructured outputs

thinkingtoolsfunction callingstructured outputslong context

API Formats

Released

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-4.7grok-4.5

Tokens / day

Requests / day

Performance Past 3 Days

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

glm-4.7grok-4.5

Throughput (tok/s)

TTFT (s)

Uptime (%)

LMArena Benchmarks

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

Text

glm-4.7grok-4.5

13801420146015001540

Overall

14421470

Coding

14851523

Math

14281478

Hard prompts

14631495

Instruction following

14281466

Multi-turn

14591477

Creative writing

14061449

Longer query

14521485

Chinese

14871511

English

14631475

WebDev Arena

glm-4.7grok-4.5

1420148015401600

Overall

14401556

React

14371559

HTML

14491577

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.

Requests / day

Avg input tokens / request

Avg output tokens / request

GLM 4.7

$32.88 /mo

Grok 4.5

$210 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: GLM 4.7, Grok 4.5?

GLM 4.7: $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 4.7: 1485 (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 4.7 accepts 200,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 128,000 tokens on GLM 4.7 and 500,000 tokens on Grok 4.5.

Which one generates tokens faster?

GLM 4.7 at 42.4 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 4.7 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 4.7 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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GLM 4.7 vs Grok 4.5

Pricing & Specifications

Activity Past 30 Days

Tokens / day

Requests / day

Performance Past 3 Days

Throughput (tok/s)

TTFT (s)

Uptime (%)

LMArena Benchmarks

Cost calculator

FAQ

Popular comparisons

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