Kimi K2 Thinking vs Qwen3.8 Max

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Kimi K2 Thinking is $0.60 and Qwen3.8 Max is $1.65 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Kimi K2 Thinking is $2.50 and Qwen3.8 Max is $4.951 per million tokens, so Kimi K2 Thinking is cheaper on this metric.

Qwen3.8 Max has the larger sourced context window. Kimi K2 Thinking supports 262K and Qwen3.8 Max supports 1,000K.

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; Qwen3.8 Max is not marked open weight.

Kimi K2 Thinking is not documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Kimi K2 Thinking is 131K and Qwen3.8 Max is 131K.

Kimi K2 Thinking: reasoning and tool calling. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Kimi K2 Thinking has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max 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.