Hunyuan Hy3 preview is designed for agent workloads, adopting a MoE architecture with 295B capacity and 21B activated parameters. It provides three modes within the same model—no_think (ultra-fast response), think_low (fast thinking), and think_high (deep reasoning)—to accommodate different latency and depth requirements from high-frequency interactions to complex engineering tasks. On code benchmarks such as SWE-bench Verified it approaches the current state of the art, and its 256K context supports cross-file code refactoring and long-document analysis. It is suitable for developers who require reliable task completion while being sensitive to inference costs.
Hy3 Preview vs Kimi K3
Output tokens cost $0.57 per million on Hy3 Preview and $15.00 per million on Kimi K3. Input tokens cost $0.17 per million on Hy3 Preview and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.05 per million on Hy3 Preview and $0.30 per million on Kimi K3. Context lengths are 256,000 tokens on Hy3 Preview and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 2.1s on Hy3 Preview and 0.9s on Kimi K3. Measured output throughput is 40.2 tok/s on Hy3 Preview and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard Hy3 Preview scores 1504 and Kimi K3 scores 1531.
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 (%)
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: Hy3 Preview, Kimi K3?
Hy3 Preview: $0.57/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; Hy3 Preview: 1504 (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?
Hy3 Preview accepts 256,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on Hy3 Preview and 1,048,576 tokens on Kimi K3.
Which one generates tokens faster?
Kimi K3 at 73.1 tok/s and Hy3 Preview at 40.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Hy3 Preview accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call Hy3 Preview 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.
Popular comparisons
Related model match-ups readers also look at.
