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Model comparison

GPT-5.4 vs GPT-5.5

Data verified

Head-to-head evidence from 40 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

GPT-5.4
OpenAI
74.24/100
Margin
0.7pts
← winning
GPT-5.5
OpenAI
73.51/100
1 category wins4 category wins

Public leaderboard positions: GPT-5.4 #8 (Supported); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 and GPT-5.5 share 40 comparable benchmark results. 5 of 8 categories are comparable. 12 results are unique to GPT-5.4; 17 to GPT-5.5.

Updated July 22, 2026
Shared results
40
GPT-5.4 only
12
GPT-5.5 only
17
Comparable categories
5 / 8

Pick GPT-5.4 if you want the stronger benchmark profile. GPT-5.5 only becomes the better choice if mathematics is the priority.

Confidence note. This is a partial-evidence comparison with 40 shared benchmark results across 7 evidence categories; 5 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 has the cleaner BenchAlign overall profile here, landing at 74.24 versus 73.51. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

GPT-5.4's sharpest advantage is in multimodal & grounded, where it averages 73.2 against 70.4. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 27.100% to 35.400%. GPT-5.5 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.

GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $2.50 input / $15.00 output per 1M tokens for GPT-5.4. That is roughly 2.0x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for GPT-5.5.

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 GPT-5.4 and GPT-5.5
CategoryGPT-5.4ΔGPT-5.5
MathGPT-5.442.5Margin→ 5.1GPT-5.547.6
AgenticGPT-5.477.2Margin→ 4.4GPT-5.581.6
MultimodalGPT-5.473.2Margin← 2.8GPT-5.570.4
CodingGPT-5.457.7Margin→ 0.9GPT-5.558.6
KnowledgeGPT-5.457.6Margin→ 0.2GPT-5.557.8
ReasoningGPT-5.4Not measuredMarginNo overlapGPT-5.585.0

Decisive benchmark drivers

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

More
A · GPT-5.4B · GPT-5.5

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 27.100%B 35.400%
    Winner: GPT-5.5Δ 8.3
    FrontierMath v2 (Tier 4): GPT-5.4 scored 27.100%; GPT-5.5 scored 35.400%. GPT-5.5 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 75.1%B 82%
    Winner: GPT-5.5Δ 6.9
    Terminal-Bench 2.0: GPT-5.4 scored 75.1%; GPT-5.5 scored 82%. GPT-5.5 wins this benchmark.

  3. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 47.600%B 51.700%
    Winner: GPT-5.5Δ 4.1
    FrontierMath v2 (Tiers 1-3): GPT-5.4 scored 47.600%; GPT-5.5 scored 51.700%. GPT-5.5 wins this benchmark.

  4. OSWorld-Verified

    Agentic
    Source ↗
    A 75%B 78.7%
    Winner: GPT-5.5Δ 3.7
    OSWorld-Verified: GPT-5.4 scored 75%; GPT-5.5 scored 78.7%. GPT-5.5 wins this benchmark.

  5. BrowseComp

    Agentic
    Source ↗
    A 82.7%B 84.4%
    Winner: GPT-5.5Δ 1.7
    BrowseComp: GPT-5.4 scored 82.7%; GPT-5.5 scored 84.4%. GPT-5.5 wins this benchmark.

Operational comparison

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

MetricGPT-5.4GPT-5.5Comparison
Input / output priceUSD per 1M tokensGPT-5.4$2.5 input / $15 outputGPT-5.5$5 input / $30 outputGPT-5.4 has the lower combined listed price.
Generation speedtokens per secondGPT-5.474 tok/sGPT-5.5Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4151.79 sGPT-5.5Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.41.05MGPT-5.51MGPT-5.4 lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.5 wins
BenchmarkGPT-5.4GPT-5.5Result
Terminal-Bench 2.0Source 75.1%82%GPT-5.5 leads
CyberGymSource 79.0%81.8%GPT-5.5 leads
BrowseCompSource 82.7%84.4%GPT-5.5 leads
OSWorld-VerifiedSource 75%78.7%GPT-5.5 leads
MCP AtlasSource 70.6%75.3%GPT-5.5 leads
ToolathlonSource 54.6%55.6%GPT-5.5 leads
τ²-bench resultsSource 87.1%93.9%GPT-5.5 leads
Claw-EvalSource 60.3%—Not comparable
DeepSearchQASource 73.6%—Not comparable
AA Agentic IndexSource 41.1%44.9%GPT-5.5 leads
APEX-Agents-AASource 33.3%37.7%GPT-5.5 leads
GDPval-AASource 44.7%49.5%GPT-5.5 leads
GDPval-AASource 13951490GPT-5.5 leads
Gert LabsSource 64.89%72.93%GPT-5.5 leads
ResearchClawBenchSource 15.3%17.0%GPT-5.5 leads
JobBenchSource 38.9%42.7%GPT-5.5 leads
ExploitGymSource 6.0%13.4%GPT-5.5 leads
OSWorld 2.0Source —13.0%Not comparable
AA BriefcaseSource —1154Not comparable
AA AutomationBenchSource —42.1%Not comparable
AA EnterpriseOps-GymSource —46.6%Not comparable
AA Harvey LABSource —86.3%Not comparable
AA ITBenchSource —45.8%Not comparable
AA Tau3 BankingSource —31.3%Not comparable
terminalBenchHardSource —60.6%Not comparable
aaTerminalBench21Source —84.3%Not comparable
CodingGPT-5.5 wins
BenchmarkGPT-5.4GPT-5.5Result
LiveCodeBench ProSource 87.5%—Not comparable
SWE-bench ProSource 57.7%58.6%GPT-5.5 leads
React Native EvalsSource 85.3%84.7%GPT-5.4 leads
Vibe Code BenchSource 67.42%69.85%GPT-5.5 leads
AA Coding IndexSource 71.0%74.9%GPT-5.5 leads
AA-SciCodeSource 56.6%56.1%GPT-5.4 leads
Terminal-Bench 2.0Source —82.0%Not comparable
cursorBench31Source —59.2%Not comparable
cursorBench32Source —58.4%Not comparable
FrontierCode 1.1 MainSource —43.0%Not comparable
Reasoning
BenchmarkGPT-5.4GPT-5.5Result
AA-LCRSource 74.0%74.3%GPT-5.5 leads
CritPtSource 23.4%27.1%GPT-5.5 leads
MRCR v2 64K-128KSource —83.1%Not comparable
MRCR v2 128K-256KSource —87.5%Not comparable
ARC-AGI-2Source —85%Not comparable
KnowledgeGPT-5.5 wins
BenchmarkGPT-5.4GPT-5.5Result
GPQASource 92.8%93.6%GPT-5.5 leads
HLESource 52.1%52.2%GPT-5.5 leads
HLE w/o toolsSource 39.8%41.4%GPT-5.5 leads
GPQA-DSource 92.8%93.6%GPT-5.5 leads
HealthBench HardSource 40.1%—Not comparable
MedXpertQA (Text)Source 59.6%—Not comparable
Artificial Analysis Intelligence IndexSource 51.4%54.8%GPT-5.5 leads
AA-GPQA DiamondSource 92.0%93.5%GPT-5.5 leads
AA-HLESource 41.6%44.3%GPT-5.5 leads
AA-Omniscience IndexSource 5.7%20.1%GPT-5.5 leads
AA-Omniscience AccuracySource 50.0%56.9%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 88.6%85.5%GPT-5.5 leads
HealthBench ProfessionalSource 48.1%—Not comparable
MathGPT-5.5 wins
BenchmarkGPT-5.4GPT-5.5Result
FrontierMath v2 (Tiers 1-3)Source 47.600%51.700%GPT-5.5 leads
FrontierMath v2 (Tier 4)Source 27.100%35.400%GPT-5.5 leads
FrontierMath (legacy)Source —51.7%Not comparable
MultimodalGPT-5.4 wins
BenchmarkGPT-5.4GPT-5.5Result
MMMU-ProSource 81.2%81.2%Tie
OfficeQA ProSource 53.2%54.1%GPT-5.5 leads
MMMU-Pro w/ PythonSource 82.1%83.2%GPT-5.5 leads
CharXivSource 82.8%—Not comparable
ERQASource 65.4%—Not comparable
SimpleVQASource 61.1%—Not comparable
ScreenSpot ProSource 85.4%—Not comparable
ZeroBenchSource 41.0%—Not comparable
MedXpertQA (MM)Source 77.1%—Not comparable
AA-MMMU-ProSource 78.4%79.9%GPT-5.5 leads
Design Arena WebsiteSource 12501282GPT-5.5 leads
Inst. Following
BenchmarkGPT-5.4GPT-5.5Result
AA-IFBenchSource 73.9%75.9%GPT-5.5 leads
Frequently Asked Questions (6)

Which is better, GPT-5.4 or GPT-5.5?

GPT-5.4 is ahead on BenchLM's BenchAlign leaderboard, 74.24 to 73.51. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 27.100% and 35.400%.

Which is better for knowledge tasks, GPT-5.4 or GPT-5.5?

GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 57.8 versus 57.6. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.4 or GPT-5.5?

GPT-5.5 has the edge for coding in this comparison, averaging 58.6 versus 57.7. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.4 or GPT-5.5?

GPT-5.5 has the edge for math in this comparison, averaging 47.6 versus 42.5. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.4 or GPT-5.5?

GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 77.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.4 or GPT-5.5?

GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 73.2 versus 70.4. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.

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