Kimi K2 Thinking vs Kimi K2.7 Code

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and Kimi K2.7 Code, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Kimi K2 Thinking is $0.60 and Kimi K2.7 Code is $0.6712 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Kimi K2 Thinking is $2.50 and Kimi K2.7 Code is $3.35 per million tokens, so Kimi K2 Thinking is cheaper on this metric.

Both models have the same sourced context window: 262,144 tokens each.

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 K2.7 Code is open weight.

Kimi K2 Thinking is not documented with image input; Kimi K2.7 Code 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 K2.7 Code's maximum output is not reported. A larger limit cannot be determined.

Kimi K2 Thinking: reasoning and tool calling. Kimi K2.7 Code: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Kimi K2 Thinking has 2 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code 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.