GLM-5.3 vs Kimi K2.6: Specs & Benchmark Comparison

GLM-5.3 is developed by Zhipu AI, while Kimi K2.6 comes from Moonshot AI. Kimi K2.6 was released in April 2026, and GLM-5.3 followed 4 months later in August 2026. The two are similar in size, at about 753 billion and 1.0 trillion parameters respectively.

The two models share 3 published benchmarks. GLM-5.3 leads on 3 of them. The widest gaps are on FrontierSWE, where GLM-5.3 scores 78.0% against 27.0%; Humanity's Last Exam, where GLM-5.3 scores 62.5% against 36.4%. Averaged across everything we track, GLM-5.3 sits at 52.2% and Kimi K2.6 at 71.2%.

Kimi K2.6 is the cheaper API at $1.20 per million input tokens and $4.50 per million output tokens, about 17% below GLM-5.3 at $1.40 and $4.40. GLM-5.3 takes the larger context window at 1M tokens, compared with 262K for Kimi K2.6. GLM-5.3 accepts text as input, while Kimi K2.6 accepts text and images.

CharacteristicGLM-5.3Kimi K2.6
CompanyZhipu AIMoonshot AI
Release DateAugust 14, 2026April 20, 2026
Parameters753B1.0T
MultimodalNoYes
Context (input)1.0M262K
Context (output)131K131K
Input Price / 1M$1.40$1.20
Output Price / 1M$4.40$4.50
Average Score52.2%71.2%
Benchmarks
FrontierSWE78.0%27.0%
Humanity's Last Exam62.5%36.4%
Toolathlon73.0%50.0%

Visual Benchmark Comparison

GLM-5.3
Kimi K2.6
FrontierSWE0.8 vs 0.3
0.8
0.3
Humanity's Last Exam0.6 vs 0.4
0.6
0.4
Toolathlon0.7 vs 0.5
0.7
0.5

Verdict

GLM-5.3 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5.3 — 0.5, Kimi K2.6 — 0.7.

API Cost

Kimi K2.6 is 1.0x cheaper: input $1.20/1M vs $1.40/1M tokens.

Context Window

GLM-5.3 supports a larger context: 1M vs 262K tokens.

Recency

GLM-5.3 is newer: released 8/14/2026 vs 4/20/2026.

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Frequently Asked Questions

Which is better for coding — GLM-5.3 or Kimi K2.6?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.3 or Kimi K2.6?
Kimi K2.6 is cheaper for input: $1.20 per 1M tokens vs $1.40.
Which has a larger context window — GLM-5.3 or Kimi K2.6?
GLM-5.3 supports a larger context: 1,048,576 tokens vs 262,144.

The GLM-5.3 and Kimi K2.6 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.3 or Kimi K2.6 page. See also the complete list of AI model comparisons.