ERNIE 5.0 is the next-generation natively multimodal foundation model in the ERNIE family. Built on a unified multimodal architecture, it jointly learns from text, images, audio, and video to deliver broad multimodal capabilities. ERNIE 5.0 features significantly upgraded core capabilities and shows strong performance across benchmarks, with notable gains in multimodal understanding, instruction following, creative writing, factual accuracy, and agent planning with tool use.
ERNIE 5.0 Thinking Exp vs Kimi K3
Compare ERNIE 5.0 Thinking Exp from Baidu 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.
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 (%)
LMArena Benchmarks
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.
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 5.0 Thinking Exp, Kimi K3?
ERNIE 5.0 Thinking Exp: $3.29/M output tokens; Kimi K3: $15.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
Kimi K3: 1531; ERNIE 5.0 Thinking Exp: 1491 (LMArena coding leaderboard).
How large is each context window?
ERNIE 5.0 Thinking Exp accepts 119,000 and Kimi K3 accepts 1,048,576 input tokens. Maximum output per request is 64,000 tokens on ERNIE 5.0 Thinking Exp and 1,048,576 tokens on Kimi K3.
What inputs and capabilities does each model support?
ERNIE 5.0 Thinking Exp accepts text and image input and supports thinking; Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs.
Can I call ERNIE 5.0 Thinking Exp 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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