DeepSeekDeepSeek V4 FlashVSOpenAIGPT-5.4 nano

Analysis by:the whichllmmodel Editorial Team|Updated: June 2026

Our Take

We recommend GPT-5.4 nano if you need peak intelligence for reasoning and coding tasks, or the 2.6x cheaper DeepSeek V4 Flash to optimize your budget for high-volume pipelines. While GPT-5.4 nano holds a clear performance lead, it carries a heavy price premium. Choose GPT-5.4 nano for complex logic, or DeepSeek V4 Flash for budget efficiency.

▶WHY?

Benchmark Calculations & Evidence:

Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. GPT-5.4 nano scored 52.4%, while DeepSeek V4 Flash scored 49.1%.

Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GPT-5.4 nano scored 82.8%, while DeepSeek V4 Flash scored 80%.

Cost Efficiency: DeepSeek V4 Flash pricing ($0.14/M input, $0.28/M output) is 2.6x cheaper than GPT-5.4 nano ($0.2/M input, $1.25/M output).

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Model Specs

DeepSeek V4 Flash

Open SourceAPI Available

Website 🤗HF

Benchmarks & Scores

Coding (swe-bench-pro)

49.1%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)

80%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)2.6x cheaper

$0.17Input: $0.14 | Output: $0.28

Context WindowLarger

1.05M tokens

Model Specs

GPT-5.4 nano

Website

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+3.3%)

52.4%

complex codebases, multi-file repositories, and architectural planning

Reasoning (gpqa-diamond)Winner (+2.8%)

82.8%

graduate-level science QA

Cost & Context

Cost (per 1M tokens)

$0.46Input: $0.20 | Output: $1.25

Context Window

400k tokens

Read our data collection methodology

Frequently Asked Questions about DeepSeek V4 Flash vs GPT-5.4 nano

DeepSeek V4 Flash is cheaper than GPT-5.4 nano. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 2.6x cheaper than GPT-5.4 nano at $0.46/1M tokens.

GPT-5.4 nano is better for coding tasks on this benchmark. It scores 52.4% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to DeepSeek V4 Flash which scores 49.1%.

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