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
← Modelskimi-k3
qwen3.8-max-preview
kimi-k3 vs qwen3.8-max-preview
Output tokens cost $15.00 per million on kimi-k3 and $1.01 per million on qwen3.8-max-preview. Input tokens cost $3.00 per million on kimi-k3 and $0.34 per million on qwen3.8-max-preview. Cached input tokens are billed at $0.30 per million on kimi-k3 and $0.03 per million on qwen3.8-max-preview. Context windows are 1,048,576 tokens on kimi-k3 and 983,616 tokens on qwen3.8-max-preview. First-token latency measured on AIHubMix is 6.8s on kimi-k3 and 2.4s on qwen3.8-max-preview. Measured output throughput is 32.2 tokens/s on kimi-k3 and 48.1 tokens/s on qwen3.8-max-preview.
kimi-k3qwen3.8-max-preview+ Add model 2/4
qwen3.8-max-preview
Qwen · text, image → text
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
Input$0.34 /M
Output$1.01 /M
Specs & Pricing
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
kimi-k3
qwen3.8-max-preview
Input price
$3.00
$0.34
Output price
$15.00
$1.01
Cache read
$0.30
$0.03
Context window
1,048,576
983,616
Max output
1,048,576
131,072
Latency (first token)
6.8 s
2.4 s
Throughput
32.2 TPS
48.1 TPS
Modalities
textimagevideo
textimage
Features
thinkingfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
Endpoints
Promotional prices show the discounted rate; see each model page for promotion windows.
Usage on AIHubMix last 30 days
Daily traffic served through AIHubMix — how demand for each model is trending.
kimi-k3qwen3.8-max-preview
Tokens / day
-
Requests / day
-
Live Performance last 3 days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
kimi-k3qwen3.8-max-preview
Throughput (TPS)
-
Latency (s)
-
Uptime (%)
-
Cost Calculator
Estimate your monthly bill for the same workload on each model.
qwen3.8-max-preview
$35.49 /mo
kimi-k3
$405 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: kimi-k3, qwen3.8-max-preview?
qwen3.8-max-preview: $1.01/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
qwen3.8-max-preview: 2.4s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
kimi-k3 accepts 1,048,576 and qwen3.8-max-preview accepts 983,616 input tokens. Maximum output per request is 1,048,576 tokens on kimi-k3 and 131,072 tokens on qwen3.8-max-preview.
Which one generates tokens faster?
qwen3.8-max-preview at 48.1 tokens/s and kimi-k3 at 32.2 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
What inputs and capabilities does each model support?
kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs; qwen3.8-max-preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
Can I call kimi-k3 and qwen3.8-max-preview 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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