Kimi K2 Thinking vs GLM 5

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Kimi K2 Thinking is $0.60 and GLM 5 is $0.60 per million tokens, so they are tied on this metric. Kimi K2 Thinking is $2.50 and GLM 5 is $1.92 per million tokens, so GLM 5 is cheaper on this metric.

Kimi K2 Thinking has the larger sourced context window. Kimi K2 Thinking supports 262,144 tokens and GLM 5 supports 202,752 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; GLM 5 is open weight.

Kimi K2 Thinking is not documented with image input; GLM 5 is not documented with image input. This reflects supported input modalities, not vision quality.

Kimi K2 Thinking has a sourced maximum output of 131,072 tokens; GLM 5's maximum output is not reported. A larger limit cannot be determined.

Kimi K2 Thinking: reasoning and tool calling. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.

Kimi K2 Thinking has 2 sourced provider routes; GLM 5 has 4, so GLM 5 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.