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 step-3.5-flash
Output tokens cost $15.00 per million on kimi-k3 and $0.33 per million on step-3.5-flash. Input tokens cost $3.00 per million on kimi-k3 and $0.11 per million on step-3.5-flash. Cached input tokens are billed at $0.30 per million on kimi-k3 and $0.11 per million on step-3.5-flash. Context lengths are 1,048,576 tokens on kimi-k3 and 256,000 tokens on step-3.5-flash. On the LMArena coding leaderboard kimi-k3 scores 1531 and step-3.5-flash scores 1451.
step-3.5-flash is stepfun's flagship inference model, designed for high-complexity tasks that require deep reasoning and fast execution. It excels at decomposing multi-step problems, performing tool calls, and maintaining consistency across massive datasets. It is the preferred choice for complex workloads such as long-context agents, advanced software engineering, and end-to-end research automation.
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, step-3.5-flash?
step-3.5-flash: $0.33/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; step-3.5-flash: 1451 (LMArena coding leaderboard).
How large is each context window?
kimi-k3 accepts 1,048,576 and step-3.5-flash accepts 256,000 input tokens.
What inputs and capabilities does each model support?
kimi-k3 accepts text, image and video input and supports thinking, function calling and structured outputs; step-3.5-flash accepts text and image input.
Can I call kimi-k3 and step-3.5-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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