Output tokens cost $0.54 per million on ERNIE-X1.1-Preview and $15.00 per million on kimi-k3. Input tokens cost $0.14 per million on ERNIE-X1.1-Preview and $3.00 per million on kimi-k3. Cached input tokens are billed at $0.14 per million on ERNIE-X1.1-Preview and $0.30 per million on kimi-k3. Context lengths are 119,000 tokens on ERNIE-X1.1-Preview and 1,048,576 tokens on kimi-k3. Time to first token (TTFT) measured on AIHubMix is 2.8s on ERNIE-X1.1-Preview and 12.9s on kimi-k3. Measured output throughput is 12.7 tok/s on ERNIE-X1.1-Preview and 18.8 tok/s on kimi-k3.
ERNIE-X1.1-Preview
kimi-k3The Wenxin large model X1.1 has made significant improvements in question answering, tool invocation, intelligent agents, instruction following, logical reasoning, mathematics, and coding tasks, with notable enhancements in factual accuracy. The context length has been extended to 64K tokens, supporting longer inputs and dialogue history, which improves the coherence of long-chain reasoning while maintaining response speed.
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.
ERNIE-X1.1-Preview: $0.54/M output tokens; kimi-k3: $15.00/M. Use the cost calculator above to estimate your own workload.
ERNIE-X1.1-Preview: 2.8s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
ERNIE-X1.1-Preview accepts 119,000 and kimi-k3 accepts 1,048,576 input tokens. Maximum output per request is 64,000 tokens on ERNIE-X1.1-Preview and 1,048,576 tokens on kimi-k3.
kimi-k3 at 18.8 tok/s and ERNIE-X1.1-Preview at 12.7 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
ERNIE-X1.1-Preview accepts text input and supports thinking, tool calling, function calling and structured outputs; 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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