Output tokens cost $0.48 per million on Aihub Phi 4 and $15.00 per million on Kimi K3. Input tokens cost $0.12 per million on Aihub Phi 4 and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.12 per million on Aihub Phi 4 and $0.30 per million on Kimi K3. Context lengths are 16,400 tokens on Aihub Phi 4 and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 0.4s on Aihub Phi 4 and 0.9s on Kimi K3. Measured output throughput is 46.2 tok/s on Aihub Phi 4 and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard Aihub Phi 4 scores 1307 and Kimi K3 scores 1531.
Aihub Phi 4
Kimi K3Phi-4 is a state-of-the-art open model based on a combination of synthetic datasets, curated public domain website data, and acquired academic books and QA datasets. The approach aims to ensure that small, efficient models are trained using data focused on high quality and advanced reasoning.
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.
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.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Aihub Phi 4: $0.48/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
Kimi K3: 1531; Aihub Phi 4: 1307 (LMArena coding leaderboard).
Aihub Phi 4: 0.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Aihub Phi 4 accepts 16,400 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 16,400 tokens on Aihub Phi 4 and 1,048,576 tokens on Kimi K3.
Kimi K3 at 73.1 tok/s and Aihub Phi 4 at 46.2 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Aihub Phi 4 accepts text input; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
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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