DeepSeek LLM 2.0 vs GPT-5.4 nano

Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.

Benchmark data for one or both models is coming soon. This page currently shows metadata and pricing where BenchLM has it, and score-level comparisons will populate as public benchmark results land.

BenchLM does not have sourced benchmark coverage for GPT-5.4 nano yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-5.4 nano has the larger context window at 400K, compared with 128K for DeepSeek LLM 2.0.

Quick Verdict

Benchmark data for DeepSeek LLM 2.0 and GPT-5.4 nano is coming soon on BenchLM.

Agentic

Coming soon

Benchmark data for this category is coming soon.

Coding

Coming soon

Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.

73%
HumanEval
Coming soon

Multimodal & Grounded

Coming soon

Benchmark data for this category is coming soon.

Reasoning

Coming soon

Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.

77%
SimpleQA
Coming soon
75%
MuSR
Coming soon

Knowledge

GPT-5.4 nano

DeepSeek LLM 2.0

77

GPT-5.4 nano

82.8

79%
MMLU
Coming soon
78%
GPQA
82.8%
76%
SuperGPQA
Coming soon
74%
OpenBookQA
Coming soon

Instruction Following

Coming soon

Benchmark data for this category is coming soon.

Multilingual

Coming soon

Benchmark data for this category is coming soon.

Mathematics

Coming soon

Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.

80%
AIME 2023
Coming soon
82%
AIME 2024
Coming soon
81%
AIME 2025
Coming soon
76%
HMMT Feb 2023
Coming soon
78%
HMMT Feb 2024
Coming soon
77%
HMMT Feb 2025
Coming soon
79%
BRUMO 2025
Coming soon

Frequently Asked Questions

Can I compare DeepSeek LLM 2.0 and GPT-5.4 nano on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for DeepSeek LLM 2.0 and GPT-5.4 nano today?

GPT-5.4 nano: $0.20 input / $1.25 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Last updated: March 17, 2026

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