GLM-5.2 vs Kimi K3: Specs & Benchmark Comparison

GLM-5.2 is developed by Zhipu AI, while Kimi K3 comes from Moonshot AI. GLM-5.2 was released in June 2026, and Kimi K3 followed a month later in July 2026. Kimi K3 is the larger model at roughly 2.8 trillion parameters, against 753 billion for GLM-5.2.

We have 4 benchmark results for GLM-5.2 and 3 benchmark results for Kimi K3, but they overlap on a single test: GPQA, where Kimi K3 scores 94.0% against 91.0%.

GLM-5.2 is the cheaper API at $1.40 per million input tokens and $4.40 per million output tokens, roughly 2 times cheaper than Kimi K3 at $3 and $15. Both accept a context window of about 1M tokens. GLM-5.2 accepts text as input, while Kimi K3 accepts text and images.

CharacteristicGLM-5.2Kimi K3
CompanyZhipu AIMoonshot AI
Release DateJune 16, 2026July 16, 2026
Parameters753B2.8T
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)131K1.0M
Input Price / 1M$1.40$3.00
Output Price / 1M$4.40$15.00
Average Score94.3%95.7%
Benchmarks
GPQA91.0%94.0%

Visual Benchmark Comparison

GLM-5.2
Kimi K3
GPQA0.9 vs 0.9
0.9
0.9

Verdict

GLM-5.2 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5.2 — 0.9, Kimi K3 — 1.0.

API Cost

GLM-5.2 is 3.1x cheaper: input $1.40/1M vs $3.00/1M tokens.

Context Window

GLM-5.2 supports a larger context: 1M vs 1M tokens.

Recency

Kimi K3 is newer: released 7/16/2026 vs 6/16/2026.

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Frequently Asked Questions

Which is better for coding — GLM-5.2 or Kimi K3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.2 or Kimi K3?
GLM-5.2 is cheaper for input: $1.40 per 1M tokens vs $3.00.
Which has a larger context window — GLM-5.2 or Kimi K3?
GLM-5.2 supports a larger context: 1,048,576 tokens vs 1,000,000.

The GLM-5.2 and Kimi K3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.2 or Kimi K3 page. See also the complete list of AI model comparisons.