Qwen3 Max vs Kimi K2 Thinking

Qwen3 Max versus Kimi K2 Thinking specifications and price.
metric	Qwen3 Max	Kimi K2 Thinking
Input / 1M	$0.78	$0.60
Output / 1M	$3.90	$2.50
Context	262K	262K
Cost @ typical workload	$624/mo	$430/mo
Modality	Text only	Text only
Price source	routed	routed
Provider	Qwen	Moonshot

Which should you pick?

On a typical workload, Kimi K2 Thinking costs $430/mo against Qwen3 Max's $624/mo — roughly 1.5× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. Both share the same context window, so that's not a deciding factor here.

These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures.

Frequently asked questions

Is Qwen3 Max or Kimi K2 Thinking cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Kimi K2 Thinking costs $430/mo versus $624/mo for Qwen3 Max — about 1.5× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.

What's the main difference between Qwen3 Max and Kimi K2 Thinking?

On price, Qwen3 Max is $0.78/$3.90 per 1M (in/out) and Kimi K2 Thinking is $0.60/$2.50. Both carry the same context window.

More comparisons

Qwen3 Max and Kimi K2 Thinking — full specs and price history.
API cost calculator — compare on your own workload.
All comparisons — the full head-to-head index.