Kimi K2 Thinking vs GPT-5.6 Sol

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and GPT-5.6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Kimi K2 Thinking is $0.60 and GPT-5.6 Sol is $2.00 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Kimi K2 Thinking is $2.50 and GPT-5.6 Sol is $10.00 per million tokens, so Kimi K2 Thinking is cheaper on this metric.

GPT-5.6 Sol has the larger sourced context window. Kimi K2 Thinking supports 262K and GPT-5.6 Sol supports 1,050K.

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

Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Kimi K2 Thinking is open weight; GPT-5.6 Sol is not marked open weight.

Kimi K2 Thinking is not documented with image input; GPT-5.6 Sol is documented with image input. This reflects supported input modalities, not vision quality.

Kimi K2 Thinking has the larger sourced maximum output: Kimi K2 Thinking supports 131K and GPT-5.6 Sol supports 128K output tokens.

Kimi K2 Thinking: reasoning and tool calling. GPT-5.6 Sol: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Kimi K2 Thinking has 2 sourced provider routes; GPT-5.6 Sol has 2, a tie.

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.