Grok 4.6 is xAI’s latest AI model, built on Grok 4.5, with a particular focus on long-running agents and more ambitious interactive and visual work. It can persistently complete complex, multi-step tasks—whether researching a topic, analyzing information, working across codebases, or turning an idea into a polished application or deliverable.
grok-4.6 vs kimi-k3
Output tokens cost $6.00 per million on grok-4.6 and $15.00 per million on kimi-k3. Input tokens cost $2.00 per million on grok-4.6 and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.50 per million on grok-4.6 and $0.30 per million on kimi-k3. Context lengths are 500,000 tokens on grok-4.6 and 1,048,576 tokens on kimi-k3. Time to first token (TTFT) measured on AIHubMix is 1.4s on grok-4.6 and 5.1s on kimi-k3. Measured output throughput is 23.6 tok/s on grok-4.6 and 38.4 tok/s on kimi-k3.
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.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: grok-4.6, kimi-k3?
grok-4.6: $6.00/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
grok-4.6: 1.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
grok-4.6 accepts 500,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 500,000 tokens on grok-4.6 and 1,048,576 tokens on kimi-k3.
Which one generates tokens faster?
kimi-k3 at 38.4 tok/s and grok-4.6 at 23.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
grok-4.6 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.
Can I call grok-4.6 and kimi-k3 with the same API key?
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.
Popular comparisons
Related model match-ups readers also look at.
