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GLM 5.1 vs Kimi K3

Compare GLM 5.1 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 5.1Moonshot AIKimi K3
+ Add model · 2/4
Z.AI logo
GLM 5.1
Z.AI · text → text

GLM-5.1 is Zhipu's latest flagship model, with greatly enhanced coding capabilities and significantly improved long-range task performance. It can continuously and autonomously work for up to 8 hours on a single task, completing the full closed loop from planning and execution to iterative optimization, delivering engineering-grade results. In terms of general capability and coding ability, GLM-5.1's overall performance aligns with Claude Opus 4.6, and it demonstrates stronger sustained work capability in long-range autonomous execution, complex engineering optimization, and real-world development scenarios, making it an ideal foundation for building Autonomous Agents and long-horizon Coding Agents.

Input$0.85 /M
Output$3.38 /M
Details
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$3.00 /M
Output$15.00 /M
Details

Pricing & Specifications

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

GLM 5.1
Kimi K3
Input /M
$0.85
$3.00
Output /M
$3.38
$15.00
Cache read /M
$0.18
$0.30
Context length
200,000
1,048,576
Max output
128,000
1,048,576
Time to First Token
1.5 s
0.9 s
Throughput
30.1 tok/s
73.1 tok/s
Modalities
text
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
chat_completions · claude_api
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-5.1kimi-k3

Tokens / day

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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-5.1kimi-k3

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-5.1kimi-k3
1420146015001540
Overall
14681486
Coding
15151531
Math
14781478
Hard prompts
14911505
Instruction following
14621479
Multi-turn
14791499
Creative writing
14491470
Longer query
14831502
Chinese
15201527
English
14821491

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 5.1
$101 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: GLM 5.1, Kimi K3?

GLM 5.1: $3.38/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Kimi K3: 1531; GLM 5.1: 1515 (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 5.1 accepts 200,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GLM 5.1 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and GLM 5.1 at 30.1 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 5.1 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 5.1 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.

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