Which is better for coding — DeepSeek-V3.2-Exp 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 — DeepSeek-V3.2-Exp or K-EXAONE-236B-A23B?

DeepSeek-V3.2-Exp is cheaper for input: $0.27 per 1M tokens vs $0.60.

Which has a larger context window — DeepSeek-V3.2-Exp or K-EXAONE-236B-A23B?

DeepSeek-V3.2-Exp supports a larger context: 163,840 tokens vs 32,768.

DeepSeek-V3.2-Exp vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison

Characteristic	DeepSeek-V3.2-Exp	K-EXAONE-236B-A23B
Company	DeepSeek	LG AI Research
Release Date	September 28, 2025	December 30, 2025
Parameters	685B	236B
Multimodal	No	No
Context (input)	164K	33K
Context (output)	66K	33K
Input Price / 1M	$0.27	$0.60
Output Price / 1M	$0.41	$1.00
Average Score	0.8	0.8
Benchmarks
AIME 2025	0.9	0.9
MMLU-Pro	0.8	0.8

Visual Benchmark Comparison

DeepSeek-V3.2-Exp

K-EXAONE-236B-A23B

AIME 20250.9 vs 0.9

0.9

MMLU-Pro0.8 vs 0.8

0.8

Verdict

DeepSeek-V3.2-Exp leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2-Exp — 0.8, K-EXAONE-236B-A23B — 0.8.

API Cost

DeepSeek-V3.2-Exp is 2.4x cheaper: input $0.27/1M vs $0.60/1M tokens.

Context Window

DeepSeek-V3.2-Exp supports a larger context: 164K vs 33K tokens.

Recency

K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 9/28/2025.

More About These Models

DeepSeek-V3.2-Exp

DeepSeek — specs, benchmarks, API

K-EXAONE-236B-A23B

LG AI Research — specs, benchmarks, API

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The DeepSeek-V3.2-Exp 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 DeepSeek-V3.2-Exp or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.