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GLM 5.3 vs Kimi K3

Output tokens cost $3.94 per million on GLM 5.3 and $15.00 per million on Kimi K3. Input tokens cost $1.13 per million on GLM 5.3 and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.28 per million on GLM 5.3 and $0.30 per million on Kimi K3. Context lengths are 1,000,000 tokens on GLM 5.3 and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 6.0s on GLM 5.3 and 2.9s on Kimi K3. Measured output throughput is 30.6 tok/s on GLM 5.3 and 38.3 tok/s on Kimi K3.

Z.AIGLM 5.3Moonshot AIKimi K3
+ Add model · 2/4
Z.AI logo
GLM 5.3
Z.AI · text → text

GLM-5.3 is a coding and agentic reasoning model developed by Z.AI, designed for complex software engineering, long-horizon agent tasks, and vulnerability analysis. Built on GLM-5.2, it incorporates further post-training enhancements to improve coding capabilities, task execution, and token efficiency. The version currently available is an internal preview of GLM-5.3, with a TPM of approximately 1–2 million. As the model is still in testing, service stability is not guaranteed and it is not recommended for production use. We plan to add additional resources and capacity over the coming week to further improve availability and stability.

Input$1.13 /M
Output$3.94 /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 5.3
Kimi K3
Input /M
$1.13
$3.00
Output /M
$3.94
$15.00
Cache read /M
$0.28
$0.30
Context length
1,000,000
1,048,576
Max output
128,000
1,048,576
Time to First Token
6.0 s
2.9 s
Throughput
30.6 tok/s
38.3 tok/s
Modalities
text
textimagevideo
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats

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-5.3kimi-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-5.3kimi-k3

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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Cost calculator

Estimate your monthly bill for the same workload on each model.

GLM 5.3
$127 /mo
Kimi K3
$405 /mo

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

FAQ

Which is cheaper: GLM 5.3, Kimi K3?

GLM 5.3: $3.94/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Kimi K3: 2.9s 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 5.3 accepts 1,000,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on GLM 5.3 and 1,048,576 tokens on Kimi K3.

Which one generates tokens faster?

Kimi K3 at 38.3 tok/s and GLM 5.3 at 30.6 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 5.3 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 5.3 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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