Which is better for coding — DeepSeek-V3.2-Exp or GPT-5.4 nano?

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 GPT-5.4 nano?

GPT-5.4 nano is cheaper for input: $0.12 per 1M tokens vs $0.27.

Which has a larger context window — DeepSeek-V3.2-Exp or GPT-5.4 nano?

GPT-5.4 nano supports a larger context: 400,000 tokens vs 163,840.

DeepSeek-V3.2-Exp vs GPT-5.4 nano: Specs & Benchmark Comparison

Characteristic	DeepSeek-V3.2-Exp	GPT-5.4 nano
Company	DeepSeek	OpenAI
Release Date	September 28, 2025	March 1, 2026
Parameters	685B	—
Multimodal	No	Yes
Context (input)	164K	400K
Context (output)	66K	128K
Input Price / 1M	$0.27	$0.12
Output Price / 1M	$0.41	$1.50
Average Score	0.8	0.7
Benchmarks
GPQA	0.8	0.8

Visual Benchmark Comparison

DeepSeek-V3.2-Exp

GPT-5.4 nano

GPQA0.8 vs 0.8

0.8

Verdict

GPT-5.4 nano leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2-Exp — 0.8, GPT-5.4 nano — 0.7.

API Cost

DeepSeek-V3.2-Exp is 2.4x cheaper: input $0.27/1M vs $0.12/1M tokens.

Context Window

GPT-5.4 nano supports a larger context: 400K vs 164K tokens.

Recency

GPT-5.4 nano is newer: released 3/1/2026 vs 9/28/2025.

More About These Models

DeepSeek-V3.2-Exp

DeepSeek — specs, benchmarks, API

GPT-5.4 nano

OpenAI — specs, benchmarks, API

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The DeepSeek-V3.2-Exp and GPT-5.4 nano 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 GPT-5.4 nano page. See also the complete list of AI model comparisons.