Which is better for coding — GLM-4.7-Flash 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-4.7-Flash or K-EXAONE-236B-A23B?

GLM-4.7-Flash is cheaper for input: $0.07 per 1M tokens vs $0.60.

Which has a larger context window — GLM-4.7-Flash or K-EXAONE-236B-A23B?

GLM-4.7-Flash supports a larger context: 128,000 tokens vs 32,768.

GLM-4.7-Flash vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison

Characteristic	GLM-4.7-Flash	K-EXAONE-236B-A23B
Company	Zhipu AI	LG AI Research
Release Date	January 18, 2026	December 30, 2025
Parameters	30B	236B
Multimodal	No	No
Context (input)	128K	33K
Context (output)	16K	33K
Input Price / 1M	$0.07	$0.60
Output Price / 1M	$0.40	$1.00
Average Score	0.6	0.8
Benchmarks
AIME 2025	0.9	0.9

Visual Benchmark Comparison

GLM-4.7-Flash

K-EXAONE-236B-A23B

AIME 20250.9 vs 0.9

0.9

Verdict

GLM-4.7-Flash leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-4.7-Flash — 0.6, K-EXAONE-236B-A23B — 0.8.

API Cost

GLM-4.7-Flash is 3.4x cheaper: input $0.07/1M vs $0.60/1M tokens.

Context Window

GLM-4.7-Flash supports a larger context: 128K vs 33K tokens.

Recency

GLM-4.7-Flash is newer: released 1/18/2026 vs 12/30/2025.

More About These Models

GLM-4.7-Flash

Zhipu AI — specs, benchmarks, API

K-EXAONE-236B-A23B

LG AI Research — specs, benchmarks, API

Related Comparisons

GLM-4.7-Flash vs GLM-5 GLM-4.5 vs GLM-4.7-Flash GLM-4.7-Flash vs GPT-5.2 Codex GLM-4.7-Flash vs Mercury 2 GLM-4.7-Flash vs MiniMax M2.5 GLM-4.7-Flash vs GPT-5.3 Codex

All model comparisons →

The GLM-4.7-Flash 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-4.7-Flash or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.