Kimi K2 Thinking vs Kimi K3

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and Kimi K3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Kimi K2 Thinking is $0.60 and Kimi K3 is $0.239 per million tokens, so Kimi K3 is cheaper on this metric. Kimi K2 Thinking is $2.50 and Kimi K3 is $11.936 per million tokens, so Kimi K2 Thinking is cheaper on this metric.

Kimi K3 has the larger sourced context window. Kimi K2 Thinking supports 262,144 tokens and Kimi K3 supports 1,048,576 tokens.

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Both models have the same sourced self-hosting status: supported. Kimi K2 Thinking is open weight; Kimi K3 is open weight.

Kimi K2 Thinking is not documented with image input; Kimi K3 is documented with image input. This reflects supported input modalities, not vision quality.

Kimi K2 Thinking has a sourced maximum output of 131,072 tokens; Kimi K3's maximum output is not reported. A larger limit cannot be determined.

Kimi K2 Thinking: reasoning and tool calling. Kimi K3: reasoning and image input. Feature support does not establish relative quality.

Kimi K2 Thinking has 2 sourced provider routes; Kimi K3 has 5, so Kimi K3 has broader tracked availability.

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.