Which is better for coding — GLM-5 or K-EXAONE-236B-A23B?

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 or K-EXAONE-236B-A23B?

GLM-5 is cheaper for input: $0.00 per 1M tokens vs $0.60.

Which has a larger context window — GLM-5 or K-EXAONE-236B-A23B?

GLM-5 supports a larger context: 200,000 tokens vs 32,768.

GLM-5 vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison

Characteristic	GLM-5	K-EXAONE-236B-A23B
Company	Zhipu AI	LG AI Research
Release Date	February 10, 2026	December 30, 2025
Parameters	744B	236B
Multimodal	No	No
Context (input)	200K	33K
Context (output)	128K	33K
Input Price / 1M	—	$0.60
Output Price / 1M	$0.00	$1.00
Average Score	0.7	0.8

Verdict

GLM-5 leads in 2 out of 3 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5 — 0.7, K-EXAONE-236B-A23B — 0.8.

Context Window

GLM-5 supports a larger context: 200K vs 33K tokens.

Recency

GLM-5 is newer: released 2/10/2026 vs 12/30/2025.

More About These Models

GLM-5

Zhipu AI — specs, benchmarks, API

K-EXAONE-236B-A23B

LG AI Research — specs, benchmarks, API

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The GLM-5 and K-EXAONE-236B-A23B 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 or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.