Which is better for coding — GPT-5.1 Thinking 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 — GPT-5.1 Thinking or K-EXAONE-236B-A23B?

K-EXAONE-236B-A23B is cheaper for input: $0.60 per 1M tokens vs $3.00.

Which has a larger context window — GPT-5.1 Thinking or K-EXAONE-236B-A23B?

GPT-5.1 Thinking supports a larger context: 256,000 tokens vs 32,768.

GPT-5.1 Thinking vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison

Characteristic	GPT-5.1 Thinking	K-EXAONE-236B-A23B
Company	OpenAI	LG AI Research
Release Date	November 11, 2025	December 30, 2025
Parameters	—	236B
Multimodal	Yes	No
Context (input)	256K	33K
Context (output)	128K	33K
Input Price / 1M	$3.00	$0.60
Output Price / 1M	$12.00	$1.00
Average Score	0.9	0.8
Benchmarks
AIME 2025	0.9	0.9

Visual Benchmark Comparison

GPT-5.1 Thinking

K-EXAONE-236B-A23B

AIME 20250.9 vs 0.9

0.9

Verdict

K-EXAONE-236B-A23B leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GPT-5.1 Thinking — 0.9, K-EXAONE-236B-A23B — 0.8.

API Cost

K-EXAONE-236B-A23B is 9.4x cheaper: input $0.60/1M vs $3.00/1M tokens.

Context Window

GPT-5.1 Thinking supports a larger context: 256K vs 33K tokens.

Recency

K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 11/11/2025.

More About These Models

GPT-5.1 Thinking

OpenAI — specs, benchmarks, API

K-EXAONE-236B-A23B

LG AI Research — specs, benchmarks, API

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All model comparisons →

The GPT-5.1 Thinking 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 GPT-5.1 Thinking or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.