Wenxin Large Model 4.5 is a next-generation native multimodal foundational large model independently developed by Baidu. It achieves collaborative optimization through joint modeling of multiple modalities, demonstrating excellent multimodal understanding capabilities. The model possesses enhanced language abilities, with comprehensive improvements in understanding, generation, reasoning, and memory. It significantly reduces hallucinations and shows notable advancements in logical reasoning and coding skills.
ERNIE 4.5 0.3b vs Kimi K3
Output tokens cost $0.05 per million on ERNIE 4.5 0.3b and $15.00 per million on Kimi K3. Input tokens cost $0.01 per million on ERNIE 4.5 0.3b and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.01 per million on ERNIE 4.5 0.3b and $0.30 per million 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: ERNIE 4.5 0.3b, Kimi K3?
ERNIE 4.5 0.3b: $0.05/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
What inputs and capabilities does each model support?
ERNIE 4.5 0.3b accepts text and image input and supports tool calling, function calling and structured outputs; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call ERNIE 4.5 0.3b 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.
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