Model comparison
GPT-5.4 Pro vs GPT-5.5
Head-to-head evidence from 9 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5.4 Pro #44 (Estimated); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5.4 Pro and GPT-5.5 share 9 comparable benchmark results. 5 of 8 categories are comparable. 3 results are unique to GPT-5.4 Pro; 48 to GPT-5.5.
Updated July 23, 2026- Shared results
- 9
- GPT-5.4 Pro only
- 3
- GPT-5.5 only
- 48
- Comparable categories
- 5 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. GPT-5.4 Pro only becomes the better choice if multimodal & grounded is the priority or you need the larger 1.05M context window.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 5 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-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 60.89. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in reasoning, where it averages 85 against 83.3. The single biggest benchmark swing on the page is MMMU-Pro, 94% to 81.2%. GPT-5.4 Pro does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $5.00 input / $30.00 output per 1M tokens for GPT-5.5. That is roughly 6.0x on output cost alone. GPT-5.4 Pro 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 | GPT-5.4 Pro | Δ | GPT-5.5 |
|---|---|---|---|
| Multimodal | GPT-5.4 Pro94.0 | Margin← 23.6 | GPT-5.570.4 |
| Agentic | GPT-5.4 Pro89.3 | Margin← 7.7 | GPT-5.581.6 |
| Reasoning | GPT-5.4 Pro83.3 | Margin→ 1.7 | GPT-5.585.0 |
| Knowledge | GPT-5.4 Pro58.7 | Margin← 0.9 | GPT-5.557.8 |
| Math | GPT-5.4 Pro46.9 | Margin→ 0.7 | GPT-5.547.6 |
| Coding | GPT-5.4 ProNot measured | MarginNo overlap | GPT-5.558.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 94%B 81.2%Winner: GPT-5.4 ProΔ 12.8MMMU-Pro: GPT-5.4 Pro scored 94%; GPT-5.5 scored 81.2%. GPT-5.4 Pro wins this benchmark. - Source ↗
HLE
KnowledgeA 58.7%B 52.2%Winner: GPT-5.4 ProΔ 6.5HLE: GPT-5.4 Pro scored 58.7%; GPT-5.5 scored 52.2%. GPT-5.4 Pro wins this benchmark. - Source ↗
BrowseComp
AgenticA 89.3%B 84.4%Winner: GPT-5.4 ProΔ 4.9BrowseComp: GPT-5.4 Pro scored 89.3%; GPT-5.5 scored 84.4%. GPT-5.4 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 37.500%B 35.400%Winner: GPT-5.4 ProΔ 2.1FrontierMath v2 (Tier 4): GPT-5.4 Pro scored 37.500%; GPT-5.5 scored 35.400%. GPT-5.4 Pro wins this benchmark. - Source ↗
ARC-AGI-2
ReasoningA 83.3%B 85%Winner: GPT-5.5Δ 1.7ARC-AGI-2: GPT-5.4 Pro scored 83.3%; GPT-5.5 scored 85%. GPT-5.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5.4 Pro | GPT-5.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5.4 Pro$30 input / $180 output | GPT-5.5$5 input / $30 output | GPT-5.5 has the lower combined listed price. |
| Generation speedtokens per second | GPT-5.4 Pro74 tok/s | GPT-5.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5.4 Pro151.79 s | GPT-5.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5.4 Pro1.05M | GPT-5.51M | GPT-5.4 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 Pro wins24 benchmarks
| Benchmark | GPT-5.4 Pro | GPT-5.5 | Result |
|---|---|---|---|
| BrowseCompSource | 89.3% | 84.4% | GPT-5.4 Pro leads |
| Terminal-Bench 2.0Source | — | 82% | Not comparable |
| CyberGymSource | — | 81.8% | Not comparable |
| OSWorld-VerifiedSource | — | 78.7% | Not comparable |
| MCP AtlasSource | — | 75.3% | Not comparable |
| ToolathlonSource | — | 55.6% | Not comparable |
| τ²-bench resultsSource | — | 93.9% | Not comparable |
| AA Agentic IndexSource | — | 44.9% | Not comparable |
| APEX-Agents-AASource | — | 37.7% | Not comparable |
| GDPval-AASource | — | 49.5% | Not comparable |
| GDPval-AASource | — | 1490 | Not comparable |
| Gert LabsSource | — | 72.93% | Not comparable |
| ResearchClawBenchSource | — | 17.0% | Not comparable |
| OSWorld 2.0Source | — | 13.0% | Not comparable |
| JobBenchSource | — | 42.7% | Not comparable |
| ExploitGymSource | — | 13.4% | Not comparable |
| AA BriefcaseSource | — | 1154 | Not 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 |
Coding9 benchmarks
| Benchmark | GPT-5.4 Pro | GPT-5.5 | Result |
|---|---|---|---|
| SWE-bench ProSource | — | 58.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 82.0% | Not comparable |
| Vibe Code BenchSource | — | 69.85% | Not comparable |
| React Native EvalsSource | — | 84.7% | Not comparable |
| cursorBench31Source | — | 59.2% | Not comparable |
| cursorBench32Source | — | 58.4% | Not comparable |
| AA Coding IndexSource | — | 74.9% | Not comparable |
| AA-SciCodeSource | — | 56.1% | Not comparable |
| FrontierCode 1.1 MainSource | — | 43.0% | Not comparable |
ReasoningGPT-5.5 wins5 benchmarks
KnowledgeGPT-5.4 Pro wins12 benchmarks
| Benchmark | GPT-5.4 Pro | GPT-5.5 | Result |
|---|---|---|---|
| HLESource | 58.7% | 52.2% | GPT-5.4 Pro leads |
| FrontierScienceSource | 36.7% | — | Not comparable |
| FrontierScience ResearchSource | 36.7% | — | Not comparable |
| HLE w/o toolsSource | 42.7% | 41.4% | GPT-5.4 Pro leads |
| GPQASource | — | 93.6% | Not comparable |
| GPQA-DSource | — | 93.6% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 54.8% | Not comparable |
| AA-GPQA DiamondSource | — | 93.5% | Not comparable |
| AA-HLESource | — | 44.3% | Not comparable |
| AA-Omniscience IndexSource | — | 20.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 56.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 85.5% | Not comparable |
MathGPT-5.5 wins4 benchmarks
MultimodalGPT-5.4 Pro wins5 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-5.4 Pro | GPT-5.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.9% | Not comparable |
Frequently Asked Questions (6)
Which is better, GPT-5.4 Pro or GPT-5.5?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 60.89. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94% and 81.2%.
Which is better for knowledge tasks, GPT-5.4 Pro or GPT-5.5?
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 58.7 versus 57.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, GPT-5.4 Pro or GPT-5.5?
GPT-5.5 has the edge for math in this comparison, averaging 47.6 versus 46.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for reasoning, GPT-5.4 Pro or GPT-5.5?
GPT-5.5 has the edge for reasoning in this comparison, averaging 85 versus 83.3. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.4 Pro or GPT-5.5?
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 81.6. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, GPT-5.4 Pro or GPT-5.5?
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 70.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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