Output tokens cost $0.31 per million on deepseek-v4-flash and $15.00 per million on kimi-k3. Input tokens cost $0.15 per million on deepseek-v4-flash and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.00 per million on deepseek-v4-flash and $0.30 per million on kimi-k3. Context windows are 1,000,000 tokens on deepseek-v4-flash and 1,048,576 tokens on kimi-k3. First-token latency measured on AIHubMix is 1.2s on deepseek-v4-flash and 6.8s on kimi-k3. Measured output throughput is 100.5 tokens/s on deepseek-v4-flash and 32.2 tokens/s on kimi-k3.
deepseek-v4-flash
kimi-k3DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
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.
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
deepseek-v4-flash: $0.31/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
deepseek-v4-flash: 1.2s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
deepseek-v4-flash accepts 1,000,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on deepseek-v4-flash and 1,048,576 tokens on kimi-k3.
deepseek-v4-flash at 100.5 tokens/s and kimi-k3 at 32.2 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
deepseek-v4-flash accepts text input and supports tool calling, function calling, structured outputs and thinking; kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs.
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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