Kimi K3 vs GLM 5.2

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K3 and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Kimi K3 is $2.85 and GLM 5.2 is $0.75 per million tokens, so GLM 5.2 is cheaper on this metric. Kimi K3 is $14.25 and GLM 5.2 is $2.40 per million tokens, so GLM 5.2 is cheaper on this metric.

Neither model has a larger sourced context window in this comparison. Kimi K3 is 1,049K and GLM 5.2 is 1,049K.

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Both models have the same recorded self-hosting status: supported. Kimi K3 is open weight; GLM 5.2 is open weight.

Kimi K3 is documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Kimi K3 is — and GLM 5.2 is —.

Kimi K3: reasoning and image input. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.

Kimi K3 has 5 sourced provider routes; GLM 5.2 has 5, 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.