Compare Grok 4.7 from Grok and Kimi K3 from Moonshot AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Grok 4.7
Kimi K3Grok 4.7 is xAI’s flagship model for coding, agentic tasks, and professional knowledge work. Compared with Grok 4.6, it uses a larger base model and longer reinforcement-learning training, improving long-horizon task execution, self-verification, context management, and document and presentation creation.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Grok 4.7: $6.6/M output tokens; Kimi K3: $15/M. Use the cost calculator above to estimate your own workload.
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.
Grok 4.7 accepts 500,000 and Kimi K3 accepts 1,048,576 input tokens.
Kimi K3 at 73.1 tok/s and Grok 4.7 at 15.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Grok 4.7 accepts text and image 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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