GLM-5.2 vs Kimi K2.6: Specs & Benchmark Comparison

GLM-5.2 is developed by Zhipu AI, while Kimi K2.6 comes from Moonshot AI. Kimi K2.6 was released in April 2026, and GLM-5.2 followed 2 months later in June 2026. The two are similar in size, at about 753 billion and 1.0 trillion parameters respectively.

The two models share 8 published benchmarks. GLM-5.2 leads on 6 of them, Kimi K2.6 on 2. The widest gaps are on FrontierSWE, where GLM-5.2 scores 74.0% against 27.0%; Humanity's Last Exam, where GLM-5.2 scores 54.7% against 36.4%. Averaged across everything we track, GLM-5.2 sits at 60.9% 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-5.2 at $1.40 and $4.40. GLM-5.2 takes the larger context window at 1M tokens, compared with 262K for Kimi K2.6. GLM-5.2 accepts text as input, while Kimi K2.6 accepts text and images.

CharacteristicGLM-5.2Kimi K2.6
CompanyZhipu AIMoonshot AI
Release DateJune 16, 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 Score60.9%71.2%
Benchmarks
FrontierSWE74.0%27.0%
Humanity's Last Exam54.7%36.4%
IMO-AnswerBench91.0%86.0%
SWE-Bench Pro62.1%58.6%
AIME 202699.0%96.0%
Toolathlon48.2%50.0%
HMMT Feb 2692.5%93.0%
GPQA91.0%90.5%

Visual Benchmark Comparison

GLM-5.2
Kimi K2.6
FrontierSWE0.7 vs 0.3
0.7
0.3
Humanity's Last Exam0.5 vs 0.4
0.5
0.4
IMO-AnswerBench0.9 vs 0.9
0.9
0.9
SWE-Bench Pro0.6 vs 0.6
0.6
0.6
AIME 20261.0 vs 1.0
1.0
1.0
Toolathlon0.5 vs 0.5
0.5
0.5
HMMT Feb 260.9 vs 0.9
0.9
0.9
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 — 0.6, 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-5.2 supports a larger context: 1M vs 262K tokens.

Recency

GLM-5.2 is newer: released 6/16/2026 vs 4/20/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — GLM-5.2 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-5.2 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-5.2 or Kimi K2.6?
GLM-5.2 supports a larger context: 1,048,576 tokens vs 262,144.

The GLM-5.2 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-5.2 or Kimi K2.6 page. See also the complete list of AI model comparisons.