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.
Kimi K3 vs O3
Output tokens cost $15.00 per million on Kimi K3 and $8.00 per million on O3. Input tokens cost $3.00 per million on Kimi K3 and $2.00 per million on O3. Cached input tokens are billed at $0.30 per million on Kimi K3 and $0.50 per million on O3. Context lengths are 1,048,576 tokens on Kimi K3 and 200,000 tokens on O3. Time to first token (TTFT) measured on AIHubMix is 0.9s on Kimi K3 and 6.5s on O3. Measured output throughput is 73.1 tok/s on Kimi K3 and 40.3 tok/s on O3. On the LMArena coding leaderboard Kimi K3 scores 1531 and O3 scores 1459.
OpenAI o3 is a powerful model across multiple domains, setting a new standard for coding, math, science, and visual reasoning tasks.
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 (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
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: Kimi K3, O3?
O3: $8.00/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Kimi K3: 1531; O3: 1459 (LMArena coding leaderboard).
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 O3 accepts 200,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 100,000 tokens on O3.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and O3 at 40.3 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; O3 accepts text and image input and supports thinking, tool calling, function calling and structured outputs.
Can I call Kimi K3 and O3 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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