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Model comparison

Composer 2.5 vs GPT-5.4 Pro

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
60.89/100
0 category wins1 category wins

Public leaderboard positions: Composer 2.5 unranked (Not scored); GPT-5.4 Pro #44 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Composer 2.5 and GPT-5.4 Pro share 0 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Composer 2.5; 12 to GPT-5.4 Pro.

Updated July 23, 2026
Shared results
0
Composer 2.5 only
5
GPT-5.4 Pro only
12
Comparable categories
1 / 8

Treat this as a split decision. Composer 2.5 makes more sense if you want the cheaper token bill; GPT-5.4 Pro is the better fit if agentic is the priority or you need the larger 1.05M context window.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Composer 2.5 and GPT-5.4 Pro finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.50 input / $2.50 output per 1M tokens for Composer 2.5. That is roughly 72.0x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 200K for Composer 2.5.

Operational comparison

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

MetricComposer 2.5GPT-5.4 ProComparison
Input / output priceUSD per 1M tokensComposer 2.5$0.5 input / $2.5 outputGPT-5.4 Pro$30 input / $180 outputComposer 2.5 has the lower combined listed price.
Generation speedtokens per secondComposer 2.5Not availableGPT-5.4 Pro74 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenComposer 2.5Not availableGPT-5.4 Pro151.79 sA complete latency comparison is not available.
Context windowmaximum listed tokensComposer 2.5200KGPT-5.4 Pro1.05MGPT-5.4 Pro lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.4 Pro wins
BenchmarkComposer 2.5GPT-5.4 ProResult
Terminal-Bench 2.0Source 69.3%Not comparable
BrowseCompSource 89.3%Not comparable
Coding
BenchmarkComposer 2.5GPT-5.4 ProResult
Terminal-Bench 2.0Source 69.3%Not comparable
SWE MultilingualSource 79.8%Not comparable
cursorBench31Source 63.2%Not comparable
cursorBench32Source 56.1%Not comparable
Reasoning
BenchmarkComposer 2.5GPT-5.4 ProResult
ARC-AGI-2Source 83.3%Not comparable
CritPtSource 30.0%Not comparable
Knowledge
BenchmarkComposer 2.5GPT-5.4 ProResult
HLESource 58.7%Not comparable
FrontierScienceSource 36.7%Not comparable
FrontierScience ResearchSource 36.7%Not comparable
HLE w/o toolsSource 42.7%Not comparable
Math
BenchmarkComposer 2.5GPT-5.4 ProResult
IPhO 2025 (Theory)Source 93.5%Not comparable
FrontierMath (legacy)Source 50%Not comparable
FrontierMath v2 (Tiers 1-3)Source 50.000%Not comparable
FrontierMath v2 (Tier 4)Source 37.500%Not comparable
Multimodal
BenchmarkComposer 2.5GPT-5.4 ProResult
MMMU-ProSource 94%Not comparable
Frequently Asked Questions (2)

Which is better, Composer 2.5 or GPT-5.4 Pro?

Composer 2.5 and GPT-5.4 Pro are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for agentic tasks, Composer 2.5 or GPT-5.4 Pro?

GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 69.3. Composer 2.5 stays close enough that the answer can still flip depending on your workload.

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Last updated: July 23, 2026

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