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GLM 4.6 vs Kimi K3

Output tokens cost $1.10 per million on GLM 4.6 and $15.00 per million on Kimi K3. Input tokens cost $0.27 per million on GLM 4.6 and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.05 per million on GLM 4.6 and $0.30 per million on Kimi K3. Context lengths are 204,800 tokens on GLM 4.6 and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 3.1s on GLM 4.6 and 0.9s on Kimi K3. Measured output throughput is 45.4 tok/s on GLM 4.6 and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard GLM 4.6 scores 1459 and Kimi K3 scores 1531.

Z.AIGLM 4.6Moonshot AIKimi K3
+ Add model · 2/4
Z.AI logo
GLM 4.6
Z.AI · text → text

GLM-4.6 is Zhipu’s latest flagship model (total parameters 355B, activation parameters 32B), comprehensively surpassing GLM-4.5. Its coding capability is aligned with Claude Sonnet 4, making it a top domestic coding model; the context window has been expanded from 128K to 200K, better suited for long code and agent tasks; inference capabilities have been significantly enhanced and support tool invocation during processing; improvements have been made in tool calling, search agents, writing style, role play, and multilingual translation. The model is named glm-4.6 and is provided by three vendors, with calls prioritized to the Sophnet platform.

Input$0.27 /M
Output$1.10 /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 4.6
Kimi K3
Input /M
$0.27
$3.00
Output /M
$1.10
$15.00
Cache read /M
$0.05
$0.30
Context length
204,800
1,048,576
Max output
131,072
1,048,576
Time to First Token
3.1 s
0.9 s
Throughput
45.4 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-4.6kimi-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-4.6kimi-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-4.6kimi-k3
1380144015001560
Overall
14251486
Coding
14591531
Math
14211421
Hard prompts
14421505
Instruction following
14151479
Multi-turn
14221499
Creative writing
14031470
Longer query
14331502
Chinese
14821527
English
14371491

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 4.6
$32.88 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: GLM 4.6, Kimi K3?

GLM 4.6: $1.10/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 4.6: 1459 (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 4.6 accepts 204,800 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 131,072 tokens on GLM 4.6 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 73.1 tok/s and GLM 4.6 at 45.4 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 4.6 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 4.6 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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