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Chat comparison

Z.ai logo

glm-5.2vskimi-k3

Moonshot AI logo

Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.

Current pricing

See the cost difference clearly

What's different

Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.

Context window

glm-5.2

976,000 tokens

kimi-k3Better fit

1,000,000 tokens

Input formats

glm-5.2

text

kimi-k3

text, image

Vision

glm-5.2

Not supported

kimi-k3Better fit

Supported

JSON mode

glm-5.2Better fit

Supported

kimi-k3

Not supported

Latest LLM7 statistics

Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.

Recent stability

glm-5.2

100%

kimi-k3

98.65%

Average response time

glm-5.2

3,617.34 ms

kimi-k3

5,233.65 ms

P95 API latency

glm-5.2

10,000 ms

kimi-k3

30,000 ms

Side-by-side trends

Shared charts make the observed differences easier to read. Metrics without enough history stay hidden.

Request success rate

Both models on the same scale

glm-5.2: 100%kimi-k3: 100%
8 Sept30 Sept

Average API latency

Both models on the same scale

glm-5.2: 4,751 mskimi-k3: 7,514 ms
8 Sept30 Sept

P95 API latency

Both models on the same scale

glm-5.2: 30,000 mskimi-k3: 10,000 ms
8 Sept30 Sept

Estimate your workload

Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.

Checking current pricing…
Checking current pricing…

Quick take

  • kimi-k3 has a larger context window.
  • kimi-k3 supports image input while the other model does not.
  • glm-5.2 recorded higher recent LLM7 stability during this period.
  • glm-5.2 recorded a lower observed p95 API latency on LLM7 during this period.

Keep exploring