DeepSeek V4 Pro 0813 is DeepSeek’s high-performance general-purpose reasoning and agent model, designed for complex reasoning, coding, long-document analysis, and agentic workflows. It supports thinking and non-thinking modes, a 1M-token context window, up to 384K output, tool calling, and the Responses API. Compared with V4 Flash 0731, Pro prioritizes capability on complex tasks, while Flash focuses on speed, cost efficiency, and high concurrency.
deepseek-v4-pro-0813 vs kimi-k3
Output tokens cost $0.93 per million on deepseek-v4-pro-0813 and $15.00 per million on kimi-k3. Input tokens cost $0.46 per million on deepseek-v4-pro-0813 and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.00 per million on deepseek-v4-pro-0813 and $0.30 per million on kimi-k3. Context lengths are 1,000,000 tokens on deepseek-v4-pro-0813 and 1,048,576 tokens on kimi-k3. Time to first token (TTFT) measured on AIHubMix is 2.0s on deepseek-v4-pro-0813 and 12.9s on kimi-k3. Measured output throughput is 59.0 tok/s on deepseek-v4-pro-0813 and 22.8 tok/s on kimi-k3.
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.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: deepseek-v4-pro-0813, kimi-k3?
deepseek-v4-pro-0813: $0.93/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
deepseek-v4-pro-0813: 2.0s 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?
deepseek-v4-pro-0813 accepts 1,000,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 384,000 tokens on deepseek-v4-pro-0813 and 1,048,576 tokens on kimi-k3.
Which one generates tokens faster?
deepseek-v4-pro-0813 at 59.0 tok/s and kimi-k3 at 22.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
deepseek-v4-pro-0813 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.
Can I call deepseek-v4-pro-0813 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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