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Model comparison

DeepSeek V4 Flash (High) vs GPT-5.4 nano

Data verified

Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.95/100
Margin
12.8pts
winning →
66.79/100
3 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Flash (High) #92 (Estimated); GPT-5.4 nano #25 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash (High) and GPT-5.4 nano share 20 comparable benchmark results. 3 of 8 categories are comparable. 18 results are unique to DeepSeek V4 Flash (High); 9 to GPT-5.4 nano.

Updated July 23, 2026
Shared results
20
DeepSeek V4 Flash (High) only
18
GPT-5.4 nano only
9
Comparable categories
3 / 8

Pick GPT-5.4 nano if you want the stronger benchmark profile. DeepSeek V4 Flash (High) only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 5 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.4 nano is clearly ahead on the BenchAlign aggregate, 66.79 to 53.95. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (High). That is roughly 4.5x on output cost alone. DeepSeek V4 Flash (High) gives you the larger context window at 1M, compared with 400K for GPT-5.4 nano.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V4 Flash (High) and GPT-5.4 nano
CategoryDeepSeek V4 Flash (High)ΔGPT-5.4 nano
MathDeepSeek V4 Flash (High)91.9Margin← 70.9GPT-5.4 nano21.0
AgenticDeepSeek V4 Flash (High)55.3Margin← 12.4GPT-5.4 nano42.9
KnowledgeDeepSeek V4 Flash (High)52.1Margin← 8.3GPT-5.4 nano43.8
CodingDeepSeek V4 Flash (High)68.5MarginNo overlapGPT-5.4 nanoNot measured
MultimodalDeepSeek V4 Flash (High)Not measuredMarginNo overlapGPT-5.4 nano66.1

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 Flash (High)B · GPT-5.4 nano

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 56.6%B 46.3%
    Winner: DeepSeek V4 Flash (High)Δ 10.3
    Terminal-Bench 2.0: DeepSeek V4 Flash (High) scored 56.6%; GPT-5.4 nano scored 46.3%. DeepSeek V4 Flash (High) wins this benchmark.

  2. HLE

    Knowledge
    Source ↗
    A 29.4%B 37.7%
    Winner: GPT-5.4 nanoΔ 8.3
    HLE: DeepSeek V4 Flash (High) scored 29.4%; GPT-5.4 nano scored 37.7%. GPT-5.4 nano wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 87.4%B 82.8%
    Winner: DeepSeek V4 Flash (High)Δ 4.6
    GPQA: DeepSeek V4 Flash (High) scored 87.4%; GPT-5.4 nano scored 82.8%. DeepSeek V4 Flash (High) wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 Flash (High)GPT-5.4 nanoComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash (High)$0.14 input / $0.28 outputGPT-5.4 nano$0.2 input / $1.25 outputDeepSeek V4 Flash (High) has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 Flash (High)Not availableGPT-5.4 nano191 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Flash (High)Not availableGPT-5.4 nano3.64 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash (High)1MGPT-5.4 nano400KDeepSeek V4 Flash (High) lists the larger context window.

Benchmark Deep Dive

AgenticDeepSeek V4 Flash (High) wins
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 nanoResult
Terminal-Bench 2.0Source 56.6%46.3%DeepSeek V4 Flash (High) leads
BrowseCompSource 53.5%—Not comparable
HLE w/ toolsSource 40.3%—Not comparable
MCP AtlasSource 67.4%56.1%DeepSeek V4 Flash (High) leads
ToolathlonSource 43.5%35.5%DeepSeek V4 Flash (High) leads
τ²-bench resultsSource 95.6%76%DeepSeek V4 Flash (High) leads
AA Agentic IndexSource 28.2%27.5%DeepSeek V4 Flash (High) leads
GDPval-AASource 32.4%30.0%DeepSeek V4 Flash (High) leads
GDPval-AASource 11471100DeepSeek V4 Flash (High) leads
OSWorld-VerifiedSource —39%Not comparable
APEX-Agents-AASource —24.9%Not comparable
Coding
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 nanoResult
CodeforcesSource 2816.0—Not comparable
SWE-bench VerifiedSource 78.6%—Not comparable
SWE-bench ProSource 52.3%—Not comparable
SWE MultilingualSource 70.2%—Not comparable
Terminal-Bench 2.0Source 56.6%—Not comparable
AA-SciCodeSource 42.0%46.9%GPT-5.4 nano leads
AA Coding IndexSource 52.0%56.1%GPT-5.4 nano leads
Vibe Code BenchSource —26.10%Not comparable
Reasoning
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 nanoResult
MRCR 1MSource 76.9%—Not comparable
CorpusQA 1MSource 59.3%—Not comparable
AA-LCRSource 62.7%66.0%GPT-5.4 nano leads
CritPtSource 3.4%9.3%GPT-5.4 nano leads
KnowledgeDeepSeek V4 Flash (High) wins
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 nanoResult
MMLU-ProSource 86.4%—Not comparable
SimpleQASource 28.9%—Not comparable
Chinese-SimpleQASource 73.2%—Not comparable
GPQASource 87.4%82.8%DeepSeek V4 Flash (High) leads
GPQA-DSource 87.4%—Not comparable
HLESource 29.4%37.7%GPT-5.4 nano leads
Artificial Analysis Intelligence IndexSource 37.5%38.2%GPT-5.4 nano leads
AA-GPQA DiamondSource 86.7%81.7%DeepSeek V4 Flash (High) leads
AA-HLESource 27.8%26.5%DeepSeek V4 Flash (High) leads
AA-Omniscience IndexSource -22.3%-29.5%DeepSeek V4 Flash (High) leads
AA-Omniscience AccuracySource 35.5%25.4%DeepSeek V4 Flash (High) leads
AA-Omniscience Hallucination RateSource 89.7%73.6%GPT-5.4 nano leads
HLE w/o toolsSource —24.3%Not comparable
MathDeepSeek V4 Flash (High) wins
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 nanoResult
HMMT Feb 2026Source 91.9%—Not comparable
IMOAnswerBenchSource 85.1%—Not comparable
ApexSource 19.1%—Not comparable
Apex ShortlistSource 72.1%—Not comparable
FrontierMath v2 (Tiers 1-3)Source —25.860%Not comparable
FrontierMath v2 (Tier 4)Source —6.250%Not comparable
Multimodal
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 nanoResult
Design Arena WebsiteSource 1238—Not comparable
MMMU-ProSource —66.1%Not comparable
MMMU-Pro w/ PythonSource —69.5%Not comparable
AA-MMMU-ProSource —65.4%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 nanoResult
AA-IFBenchSource 73.5%75.9%GPT-5.4 nano leads
Frequently Asked Questions (4)

Which is better, DeepSeek V4 Flash (High) or GPT-5.4 nano?

GPT-5.4 nano is ahead on BenchLM's BenchAlign leaderboard, 66.79 to 53.95. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 56.6% and 46.3%.

Which is better for knowledge tasks, DeepSeek V4 Flash (High) or GPT-5.4 nano?

DeepSeek V4 Flash (High) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 43.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for math, DeepSeek V4 Flash (High) or GPT-5.4 nano?

DeepSeek V4 Flash (High) has the edge for math in this comparison, averaging 91.9 versus 21. GPT-5.4 nano stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, DeepSeek V4 Flash (High) or GPT-5.4 nano?

DeepSeek V4 Flash (High) has the edge for agentic tasks in this comparison, averaging 55.3 versus 42.9. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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