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 /M
Output$15 /M
Cache read$0.3 /M
← ModelsKimi K3
Qwen3.8 Omni Flash
Kimi K3 vs Qwen3.8 Omni Flash
Compare Kimi K3 from Moonshot AI and Qwen3.8 Omni Flash from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Kimi K3Qwen3.8 Omni Flash+ Add model · 2/4
Qwen3.8 Omni Flash
Qwen · text, image, audio, video → text
Qwen3.8 Omni Flash is Alibaba Cloud Qwen's next-generation native multimodal model, supporting 1M-length sequences and able to directly accept text, images, audio, and video as input. It is based on the Qwen3.8-Flash-Next architecture. The model is designed for agent capabilities in real productivity scenarios: while offering agentic abilities such as programming, text knowledge work, and GUI operation, it also achieves significant results in audio/video-centered agentic applications—such as video editing, music video creation, film production and narration, audio/video-to-text-and-image summarization, and audio/video dialogue—that require integrated processing of text, images, audio, and video. It supports 2-channel and 4-channel spatial audio parsing, is compatible with DashScope and OpenAI protocols, and it is recommended to install the accompanying Qwen-MM-Plugins to facilitate agent frameworks' access to native multimodal capabilities.
Input$0.1126 /M
Output$0.38 /M
Cache read$0.0141 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Kimi K3
Qwen3.8 Omni Flash
Input /M
$3
$0.1126
Output /M
$15
$0.38
Cache read /M
$0.3
$0.0141
Context length
1,048,576
1,000,000
Max output
1,048,576
131,072
Time to First Token
0.9 s
14.6 s
Throughput
73.1 tok/s
43.8 tok/s
Modalities
textimagevideo
textimageaudiovideo
Supported Parameters
thinkingfunction callingstructured outputs
API Formats
Released
July 16, 2026
August 26, 2026
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.
kimi-k3qwen3.8-omni-flash
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
kimi-k3qwen3.8-omni-flash
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
Cost calculator
Estimate your monthly bill for the same workload on each model.
Qwen3.8 Omni Flash
$12.46 /mo
Kimi K3
$405 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Kimi K3, Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash: $0.38/M output tokens; Kimi K3: $15/M. Use the cost calculator above to estimate your own workload.
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?
Kimi K3 accepts 1,048,576 and Qwen3.8 Omni Flash accepts 1,000,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 131,072 tokens on Qwen3.8 Omni Flash.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and Qwen3.8 Omni Flash at 43.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
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 Omni Flash accepts text, image, audio and video input.
Can I call Kimi K3 and Qwen3.8 Omni Flash 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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