Kimi K3
Moonshot AI · text, image, video → text
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.
Input$3.00 /M
Output$15.00 /M
← ModelsKimi K3
Qwen3 VL 30B A3B Thinking
Kimi K3 vs Qwen3 VL 30B A3B Thinking
Compare Kimi K3 from Moonshot AI and Qwen3 VL 30B A3B Thinking from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Kimi K3Qwen3 VL 30B A3B Thinking+ Add model · 2/4
Qwen3 VL 30B A3B Thinking
Qwen · text, image, video → text
The Qwen3-VL series’ second-largest MoE model Thinking version offers fast response speed, stronger multimodal understanding and reasoning, visual agent capabilities, and ultra-long context support for long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities, making it capable of handling complex real-world tasks.
Input$0.10 /M
Output$1.03 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Kimi K3
Qwen3 VL 30B A3B Thinking
Input /M
$3.00
$0.10
Output /M
$15.00
$1.03
Cache read /M
$0.30
$0.10
Context length
1,048,576
128,000
Max output
1,048,576
32,000
Time to First Token
0.9 s
0.4 s
Throughput
73.1 tok/s
113.9 tok/s
Modalities
textimagevideo
textimagevideo
Supported Parameters
thinkingfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
Released
-
-
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.
kimi-k3qwen3-vl-30b-a3b-thinking
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
kimi-k3qwen3-vl-30b-a3b-thinking
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
kimi-k3qwen3-vl-30b-a3b-thinking
1340140014601520
Overall
14151486
Coding
14661531
Math
14111411
Hard prompts
14401505
Instruction following
14141479
Multi-turn
14261499
Creative writing
13621470
Longer query
14251502
Chinese
14551527
English
14271491
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.
Qwen3 VL 30B A3B Thinking
$21.59 /mo
Kimi K3
$405 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Kimi K3, Qwen3 VL 30B A3B Thinking?
Qwen3 VL 30B A3B Thinking: $1.03/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; Qwen3 VL 30B A3B Thinking: 1466 (LMArena coding leaderboard).
Which responds faster?
Qwen3 VL 30B A3B Thinking: 0.4s 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?
Kimi K3 accepts 1,048,576 and Qwen3 VL 30B A3B Thinking accepts 128,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 32,000 tokens on Qwen3 VL 30B A3B Thinking.
Which one generates tokens faster?
Qwen3 VL 30B A3B Thinking at 113.9 tok/s and Kimi K3 at 73.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Kimi K3 accepts text, image and video input and supports thinking, function calling and structured outputs; Qwen3 VL 30B A3B Thinking accepts text, image and video input and supports thinking, tool calling, function calling and structured outputs.
Can I call Kimi K3 and Qwen3 VL 30B A3B Thinking 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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