Output tokens cost $0.40 per million on GPT 4.1 Nano and $15.00 per million on Kimi K3. Input tokens cost $0.10 per million on GPT 4.1 Nano and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.03 per million on GPT 4.1 Nano and $0.30 per million on Kimi K3. Context lengths are 1,047,576 tokens on GPT 4.1 Nano and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 0.8s on GPT 4.1 Nano and 0.9s on Kimi K3. Measured output throughput is 72.7 tok/s on GPT 4.1 Nano and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard GPT 4.1 Nano scores 1374 and Kimi K3 scores 1531.
GPT 4.1 Nano
Kimi K3Ultra-lightweight model with million-token context, optimized for speed and low latency, costing only $0.10 per million input tokens. It is suitable for edge computing and real-time interaction. The automatic caching mechanism offers a 75% cost reduction on cache hits.
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.
GPT 4.1 Nano: $0.40/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
Kimi K3: 1531; GPT 4.1 Nano: 1374 (LMArena coding leaderboard).
GPT 4.1 Nano: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GPT 4.1 Nano accepts 1,047,576 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 32,768 tokens on GPT 4.1 Nano and 1,048,576 tokens on Kimi K3.
Kimi K3 at 73.1 tok/s and GPT 4.1 Nano at 72.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GPT 4.1 Nano accepts text and image input and supports tool calling, function calling, structured outputs and long context; 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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