Output tokens cost $6.00 per million on grok-4.5 and $15.00 per million on kimi-k3. Input tokens cost $2.00 per million on grok-4.5 and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.50 per million on grok-4.5 and $0.30 per million on kimi-k3. Context windows are 1,000,000 tokens on grok-4.5 and 1,048,576 tokens on kimi-k3. First-token latency measured on AIHubMix is 1.8s on grok-4.5 and 6.8s on kimi-k3. Measured output throughput is 38.4 tokens/s on grok-4.5 and 32.2 tokens/s on kimi-k3. On the LMArena coding leaderboard grok-4.5 scores 1520 and kimi-k3 scores 1531.
grok-4.5
kimi-k3Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
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. Latency 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.
grok-4.5: $6.00/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
kimi-k3: 1531; grok-4.5: 1520 (LMArena coding leaderboard).
grok-4.5: 1.8s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
grok-4.5 accepts 1,000,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 1,000,000 tokens on grok-4.5 and 1,048,576 tokens on kimi-k3.
grok-4.5 at 38.4 tokens/s and kimi-k3 at 32.2 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
grok-4.5 accepts text and image input and supports thinking, 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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