Models

GLM 4.7 vs Kimi K3

Compare GLM 4.7 from Z.AI and Kimi K3 from Moonshot AI 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 4.7Moonshot AIKimi K3
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
10% off
Moonshot AI logo
Kimi K3
Moonshot AI · text, image, video → text

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Input$3$2.7 /M
Output$15$13.5 /M
Cache read$0.3$0.27 /M

Pricing & Specifications

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

GLM 4.7
Kimi K3
Input /M
$0.274
$3$2.710%
Output /M
$1.0959
$15$13.510%
Cache read /M
$0.0548
$0.3$0.2710%
Context length
200,000
1,048,576
Max output
128,000
1,048,576
Time to First Token
13.0 s
0.9 s
Throughput
26.5 tok/s
73.1 tok/s
Modalities
text
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
Released
-
-

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-4.7kimi-k3

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

glm-4.7kimi-k3

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
glm-4.7kimi-k3
1380144015001560
Overall
14421486
Coding
14851531
Math
14281428
Hard prompts
14631505
Instruction following
14281479
Multi-turn
14591499
Creative writing
14061470
Longer query
14521502
Chinese
14871527
English
14631491

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
Kimi K3
$405$365 /mo

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

FAQ

Which is cheaper: GLM 4.7, Kimi K3?

GLM 4.7: $1.0959/M output tokens; Kimi K3: $13.5/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; GLM 4.7: 1485 (LMArena coding leaderboard).

Which responds faster?

Kimi K3: 0.9s 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 Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GLM 4.7 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 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; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.

Can I call GLM 4.7 and Kimi K3 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.