Coding GLM 4.7
Z.AI · text → text
Only supports OpenAI-compatible formats.
Input$0.06 /M
Output$0.22 /M
Cache read$0.011 /M
← ModelsCoding GLM 4.7
Grok 4.5
Coding GLM 4.7 vs Grok 4.5
Compare Coding 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.
Coding GLM 4.7Grok 4.5+ Add model · 2/4
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.
Coding GLM 4.7
Grok 4.5
Input /M
$0.06
$2
Output /M
$0.22
$6
Cache read /M
$0.011
$0.5
Context length
200,000
500,000
Max output
131,072
500,000
Time to First Token
1.4 s
3.3 s
Throughput
27.2 tok/s
40.6 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputslong context
API Formats
Released
December 22, 2025
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.
coding-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.
coding-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
coding-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
coding-glm-4.7grok-4.5
1420148015401600
Overall
14401556
React
14371559
HTML
14491572
Gaming
15901590
Simulations
15831583
Data analytics
15191519
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.
Coding GLM 4.7
$6.90 /mo
Grok 4.5
$210 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Coding GLM 4.7, Grok 4.5?
Coding GLM 4.7: $0.22/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; Coding GLM 4.7: 1485 (LMArena coding leaderboard).
Which responds faster?
Coding GLM 4.7: 1.4s 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?
Coding GLM 4.7 accepts 200,000 and Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 131,072 tokens on Coding GLM 4.7 and 500,000 tokens on Grok 4.5.
Which one generates tokens faster?
Grok 4.5 at 40.6 tok/s and Coding GLM 4.7 at 27.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Coding 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 Coding 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.
