Models

GLM 4.7 vs Grok 4.5

Compare GLM 4.7 from Z.AI and Grok 4.5 from Grok on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

Z.AIGLM 4.7GrokGrok 4.5
Z.AI logo
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$0.274 /M
Output$1.0959 /M
Cache read$0.0548 /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 /M
Output$6 /M
Cache read$0.5 /M

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
$0.274
$2
Output /M
$1.0959
$6
Cache read /M
$0.0548
$0.5
Context length
200,000
500,000
Max output
128,000
500,000
Time to First Token
13.0 s
3.5 s
Throughput
26.5 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
14421471
Coding
14851523
Math
14281479
Hard prompts
14631495
Instruction following
14281466
Multi-turn
14591476
Creative writing
14061451
Longer query
14521487
Chinese
14871512
English
14631476
WebDev Arena
glm-4.7grok-4.5
1420148015401600
Overall
14401556
React
14371559
HTML
14491571
Gaming
15891589
Simulations
15851585
Data analytics
15211521

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 4.7
$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: $1.0959/M output tokens; Grok 4.5: $6/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: 3.5s 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?

Grok 4.5 at 26.6 tok/s and GLM 4.7 at 26.5 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.

Popular comparisons

Related model match-ups readers also look at.