Kimi K2 Thinking vs DeepSeek V4 Pro

Kimi K2 Thinking versus DeepSeek V4 Pro specifications and price.
metric	Kimi K2 Thinking	DeepSeek V4 Pro
Input / 1M	$0.60	$0.43
Output / 1M	$2.50	$0.87
Context	262K	1.0M
Cost @ typical workload	$430/mo	$217/mo
Modality	Text only	Text only
Price source	routed	list
Provider	Moonshot	DeepSeek

Which should you pick?

On a typical workload, DeepSeek V4 Pro costs $217/mo against Kimi K2 Thinking's $430/mo — roughly 2.0× 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. If you need to fit more in a single prompt, DeepSeek V4 Pro has the larger 1.0M-token window (~1,573 pages).

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 Kimi K2 Thinking or DeepSeek V4 Pro cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), DeepSeek V4 Pro costs $217/mo versus $430/mo for Kimi K2 Thinking — about 2.0× 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 Kimi K2 Thinking and DeepSeek V4 Pro?

On price, Kimi K2 Thinking is $0.60/$2.50 per 1M (in/out) and DeepSeek V4 Pro is $0.43/$0.87. DeepSeek V4 Pro has the larger context window at 1.0M tokens.

More comparisons

Kimi K2 Thinking and DeepSeek V4 Pro — full specs and price history.
API cost calculator — compare on your own workload.
All comparisons — the full head-to-head index.