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Model comparison

DeepSeek V4 Flash (High) vs GPT-5.4 mini

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
2.8pts
winning →
56.77/100
2 category wins1 category wins

Public leaderboard positions: DeepSeek V4 Flash (High) #92 (Estimated); GPT-5.4 mini #75 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash (High) and GPT-5.4 mini share 20 comparable benchmark results. 3 of 8 categories are comparable. 18 results are unique to DeepSeek V4 Flash (High); 10 to GPT-5.4 mini.

Updated July 23, 2026
Shared results
20
DeepSeek V4 Flash (High) only
18
GPT-5.4 mini only
10
Comparable categories
3 / 8

Pick GPT-5.4 mini 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 mini has the cleaner BenchAlign overall profile here, landing at 56.77 versus 53.95. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

GPT-5.4 mini's sharpest advantage is in agentic, where it averages 65.7 against 55.3. The single biggest benchmark swing on the page is HLE, 29.4% to 41.5%. DeepSeek V4 Flash (High) does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.

GPT-5.4 mini is also the more expensive model on tokens at $0.75 input / $4.50 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (High). That is roughly 16.1x on output cost alone. DeepSeek V4 Flash (High) gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.

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 mini
CategoryDeepSeek V4 Flash (High)ΔGPT-5.4 mini
MathDeepSeek V4 Flash (High)91.9Margin← 70.2GPT-5.4 mini21.7
AgenticDeepSeek V4 Flash (High)55.3Margin→ 10.4GPT-5.4 mini65.7
KnowledgeDeepSeek V4 Flash (High)52.1Margin← 4.3GPT-5.4 mini47.8
CodingDeepSeek V4 Flash (High)68.5MarginNo overlapGPT-5.4 miniNot measured
MultimodalDeepSeek V4 Flash (High)Not measuredMarginNo overlapGPT-5.4 mini76.6

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 mini

  1. HLE

    Knowledge
    Source ↗
    A 29.4%B 41.5%
    Winner: GPT-5.4 miniΔ 12.1
    HLE: DeepSeek V4 Flash (High) scored 29.4%; GPT-5.4 mini scored 41.5%. GPT-5.4 mini wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 56.6%B 60%
    Winner: GPT-5.4 miniΔ 3.4
    Terminal-Bench 2.0: DeepSeek V4 Flash (High) scored 56.6%; GPT-5.4 mini scored 60%. GPT-5.4 mini wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 87.4%B 88%
    Winner: GPT-5.4 miniΔ 0.6
    GPQA: DeepSeek V4 Flash (High) scored 87.4%; GPT-5.4 mini scored 88%. GPT-5.4 mini 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 miniComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash (High)$0.14 input / $0.28 outputGPT-5.4 mini$0.75 input / $4.5 outputDeepSeek V4 Flash (High) has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 Flash (High)Not availableGPT-5.4 mini201 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Flash (High)Not availableGPT-5.4 mini3.85 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash (High)1MGPT-5.4 mini400KDeepSeek V4 Flash (High) lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.4 mini wins
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 miniResult
Terminal-Bench 2.0Source 56.6%60%GPT-5.4 mini leads
BrowseCompSource 53.5%—Not comparable
HLE w/ toolsSource 40.3%—Not comparable
MCP AtlasSource 67.4%57.7%DeepSeek V4 Flash (High) leads
ToolathlonSource 43.5%42.9%DeepSeek V4 Flash (High) leads
τ²-bench resultsSource 95.6%83.3%DeepSeek V4 Flash (High) leads
AA Agentic IndexSource 28.2%30.2%GPT-5.4 mini leads
GDPval-AASource 32.4%33.6%GPT-5.4 mini leads
GDPval-AASource 11471171GPT-5.4 mini leads
OSWorld-VerifiedSource —72.1%Not comparable
APEX-Agents-AASource —28.2%Not comparable
Coding
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 miniResult
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%49.9%GPT-5.4 mini leads
AA Coding IndexSource 52.0%56.1%GPT-5.4 mini leads
Vibe Code BenchSource —47.97%Not comparable
FrontierCode 1.1 MainSource —27.0%Not comparable
Reasoning
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 miniResult
MRCR 1MSource 76.9%—Not comparable
CorpusQA 1MSource 59.3%—Not comparable
AA-LCRSource 62.7%69.3%GPT-5.4 mini leads
CritPtSource 3.4%10.0%GPT-5.4 mini leads
KnowledgeDeepSeek V4 Flash (High) wins
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 miniResult
MMLU-ProSource 86.4%—Not comparable
SimpleQASource 28.9%—Not comparable
Chinese-SimpleQASource 73.2%—Not comparable
GPQASource 87.4%88%GPT-5.4 mini leads
GPQA-DSource 87.4%—Not comparable
HLESource 29.4%41.5%GPT-5.4 mini leads
Artificial Analysis Intelligence IndexSource 37.5%40.0%GPT-5.4 mini leads
AA-GPQA DiamondSource 86.7%87.5%GPT-5.4 mini leads
AA-HLESource 27.8%26.6%DeepSeek V4 Flash (High) leads
AA-Omniscience IndexSource -22.3%-18.7%GPT-5.4 mini leads
AA-Omniscience AccuracySource 35.5%37.5%GPT-5.4 mini leads
AA-Omniscience Hallucination RateSource 89.7%89.8%DeepSeek V4 Flash (High) leads
HLE w/o toolsSource —28.2%Not comparable
MathDeepSeek V4 Flash (High) wins
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 miniResult
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 —28.280%Not comparable
FrontierMath v2 (Tier 4)Source —2.080%Not comparable
Multimodal
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 miniResult
Design Arena WebsiteSource 1238—Not comparable
MMMU-ProSource —76.6%Not comparable
MMMU-Pro w/ PythonSource —78%Not comparable
AA-MMMU-ProSource —73.3%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Flash (High)GPT-5.4 miniResult
AA-IFBenchSource 73.5%73.3%DeepSeek V4 Flash (High) leads
Frequently Asked Questions (4)

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

GPT-5.4 mini is ahead on BenchLM's BenchAlign leaderboard, 56.77 to 53.95. The biggest single separator in this matchup is HLE, where the scores are 29.4% and 41.5%.

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

DeepSeek V4 Flash (High) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 47.8. Inside this category, HLE is the benchmark that creates the most daylight between them.

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

DeepSeek V4 Flash (High) has the edge for math in this comparison, averaging 91.9 versus 21.7. GPT-5.4 mini 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 mini?

GPT-5.4 mini has the edge for agentic tasks in this comparison, averaging 65.7 versus 55.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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