DeepSeek’s officially released new multimodal visual-understanding model, DeepSeek‑V4‑Flash‑Vision‑Exp, is experimental in nature and supports multimodal inputs. In pure-text capabilities (agents, reasoning, world knowledge, etc.), DeepSeek‑V4‑Flash‑Vision‑Exp is on par with the official DeepSeek‑V4‑Flash release.
DeepSeek V4 Flash Vision Exp vs Kimi K3
Output tokens cost $0.28 per million on DeepSeek V4 Flash Vision Exp and $15.00 per million on Kimi K3. Input tokens cost $0.14 per million on DeepSeek V4 Flash Vision Exp and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.03 per million on DeepSeek V4 Flash Vision Exp and $0.30 per million on Kimi K3. Context lengths are 1,000,000 tokens on DeepSeek V4 Flash Vision Exp and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 2.4s on DeepSeek V4 Flash Vision Exp and 0.9s on Kimi K3. Measured output throughput is 70.4 tok/s on DeepSeek V4 Flash Vision Exp and 73.1 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 Flash Vision Exp, Kimi K3?
DeepSeek V4 Flash Vision Exp: $0.28/M output tokens; Kimi K3: $15.00/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?
DeepSeek V4 Flash Vision Exp 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 Vision Exp and 1,048,576 tokens on Kimi K3.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and DeepSeek V4 Flash Vision Exp at 70.4 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 Flash Vision Exp accepts text and image 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 Flash Vision Exp 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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