Models

Kimi K3 vs Qwen3.6 Max Preview

Compare Kimi K3 from Moonshot AI and Qwen3.6 Max Preview 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.

Moonshot AIKimi K3QwenQwen3.6 Max Preview
Moonshot AI logo
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
Qwen logo
Qwen3.6 Max Preview
Qwen · text → text

The Max model Preview version, the largest and most capable model in the Qwen3.6 series, currently offers its pure-text model capabilities for trial. Compared with the previously released Qwen3-Max and Qwen3.6-Plus, this model further enhances vibe coding capabilities, executes coding agents more efficiently, significantly improves front-end programming and development capabilities, and further upgrades long-tail knowledge handling.

Input$1.27 /M
Output$7.61 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

Kimi K3
Qwen3.6 Max Preview
Input /M
$3.00
$1.27
Output /M
$15.00
$7.61
Cache read /M
$0.30
$0.13
Context length
1,048,576
240,000
Max output
1,048,576
64,000
Time to First Token
0.9 s
0.7 s
Throughput
73.1 tok/s
185.4 tok/s
Modalities
textimagevideo
text
Supported Parameters
thinkingfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
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-k3qwen3.6-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

kimi-k3qwen3.6-max-preview

Throughput (tok/s)

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TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
kimi-k3qwen3.6-max-preview
1420146015001540
Overall
14601486
Coding
15091531
Math
14751475
Hard prompts
14821505
Instruction following
14501479
Multi-turn
14691499
Creative writing
14381470
Longer query
14741502
Chinese
15001527
English
14671491

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.

Qwen3.6 Max Preview
$190 /mo
Kimi K3
$405 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: Kimi K3, Qwen3.6 Max Preview?

Qwen3.6 Max Preview: $7.61/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; Qwen3.6 Max Preview: 1509 (LMArena coding leaderboard).

Which responds faster?

Qwen3.6 Max Preview: 0.7s 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 Qwen3.6 Max Preview accepts 240,000 input tokens. Maximum output per request is 1,048,576 tokens on Kimi K3 and 64,000 tokens on Qwen3.6 Max Preview.

Which one generates tokens faster?

Qwen3.6 Max Preview at 185.4 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; Qwen3.6 Max Preview accepts text input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call Kimi K3 and Qwen3.6 Max Preview 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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