Output tokens cost $6.00 per million on Grok 4.5 and $2.16 per million on Kimi K2 0711. Input tokens cost $2.00 per million on Grok 4.5 and $0.54 per million on Kimi K2 0711. Cached input tokens are billed at $0.50 per million on Grok 4.5 and $0.54 per million on Kimi K2 0711. Context lengths are 500,000 tokens on Grok 4.5 and 131,000 tokens on Kimi K2 0711. Time to first token (TTFT) measured on AIHubMix is 1.6s on Grok 4.5 and 0.8s on Kimi K2 0711. Measured output throughput is 25.1 tok/s on Grok 4.5 and 50.2 tok/s on Kimi K2 0711. On the LMArena coding leaderboard Grok 4.5 scores 1523 and Kimi K2 0711 scores 1467.
Grok 4.5
Kimi K2 0711Grok 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-K2 is a MoE architecture foundational model with extremely powerful coding and agent capabilities, featuring a total of 1 trillion parameters and activating 32 billion parameters. In benchmark performance tests across major categories such as general knowledge reasoning, programming, mathematics, and agents, the K2 model outperforms other mainstream open-source models. The Kimi-K2 model supports a context length of 128k tokens. It does not support visual capabilities.
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.
Kimi K2 0711: $2.16/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
Grok 4.5: 1523; Kimi K2 0711: 1467 (LMArena coding leaderboard).
Kimi K2 0711: 0.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Grok 4.5 accepts 500,000 and Kimi K2 0711 accepts 131,000 input tokens. Maximum output per request is 500,000 tokens on Grok 4.5 and 131,000 tokens on Kimi K2 0711.
Kimi K2 0711 at 50.2 tok/s and Grok 4.5 at 25.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Kimi K2 0711 accepts text input and supports tool calling, 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.
Related model match-ups readers also look at.
AIHubMix