Model comparison
Claude Opus 4.6 vs GPT-5.4 Pro
Head-to-head evidence from 7 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 #16 (Supported); GPT-5.4 Pro #44 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and GPT-5.4 Pro share 7 comparable benchmark results. 4 of 8 categories are comparable. 39 results are unique to Claude Opus 4.6; 5 to GPT-5.4 Pro.
Updated July 22, 2026- Shared results
- 7
- Claude Opus 4.6 only
- 39
- GPT-5.4 Pro only
- 5
- Comparable categories
- 4 / 8
Pick Claude Opus 4.6 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 7 shared benchmark results across 5 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Opus 4.6 is clearly ahead on the BenchAlign aggregate, 68.59 to 60.89. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in knowledge, where it averages 69.1 against 58.7. The single biggest benchmark swing on the page is MMMU-Pro, 77.3% to 94%. 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 / $25.00 output per 1M tokens for Claude Opus 4.6. That is roughly 7.2x on output cost alone. GPT-5.4 Pro is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.6.
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 | Claude Opus 4.6 | Δ | GPT-5.4 Pro |
|---|---|---|---|
| Multimodal | Claude Opus 4.677.3 | Margin→ 16.7 | GPT-5.4 Pro94.0 |
| Agentic | Claude Opus 4.673.0 | Margin→ 16.3 | GPT-5.4 Pro89.3 |
| Math | Claude Opus 4.636.3 | Margin→ 10.6 | GPT-5.4 Pro46.9 |
| Knowledge | Claude Opus 4.669.1 | Margin← 10.4 | GPT-5.4 Pro58.7 |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | GPT-5.4 ProNot measured |
| Reasoning | Claude Opus 4.6Not measured | MarginNo overlap | GPT-5.4 Pro83.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
MMMU-Pro
MultimodalA 77.3%B 94%Winner: GPT-5.4 ProΔ 16.7MMMU-Pro: Claude Opus 4.6 scored 77.3%; GPT-5.4 Pro scored 94%. GPT-5.4 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 22.900%B 37.500%Winner: GPT-5.4 ProΔ 14.6FrontierMath v2 (Tier 4): Claude Opus 4.6 scored 22.900%; GPT-5.4 Pro scored 37.500%. GPT-5.4 Pro wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 40.700%B 50.000%Winner: GPT-5.4 ProΔ 9.3FrontierMath v2 (Tiers 1-3): Claude Opus 4.6 scored 40.700%; GPT-5.4 Pro scored 50.000%. GPT-5.4 Pro wins this benchmark. - Source ↗
HLE
KnowledgeA 53%B 58.7%Winner: GPT-5.4 ProΔ 5.7HLE: Claude Opus 4.6 scored 53%; GPT-5.4 Pro scored 58.7%. GPT-5.4 Pro wins this benchmark. - Source ↗
BrowseComp
AgenticA 83.7%B 89.3%Winner: GPT-5.4 ProΔ 5.6BrowseComp: Claude Opus 4.6 scored 83.7%; GPT-5.4 Pro scored 89.3%. GPT-5.4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | GPT-5.4 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | GPT-5.4 Pro$30 input / $180 output | Claude Opus 4.6 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | GPT-5.4 Pro74 tok/s | GPT-5.4 Pro has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | GPT-5.4 Pro151.79 s | Claude Opus 4.6 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | GPT-5.4 Pro1.05M | GPT-5.4 Pro lists the larger context window. |
Benchmark Deep Dive
AgenticGPT-5.4 Pro wins10 benchmarks
| Benchmark | Claude Opus 4.6 | GPT-5.4 Pro | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | — | Not comparable |
| BrowseCompSource | 83.7% | 89.3% | GPT-5.4 Pro leads |
| OSWorld-VerifiedSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | — | Not comparable |
| Claw-EvalSource | 70.4% | — | Not comparable |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Opus 4.6 | GPT-5.4 Pro | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | — | Not comparable |
| SWE-bench ProSource | 53.4% | — | Not comparable |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | — | Not comparable |
| Vibe Code BenchSource | 57.57% | — | Not comparable |
| AA-SciCodeSource | 45.7% | — | Not comparable |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
Reasoning3 benchmarks
KnowledgeClaude Opus 4.6 wins17 benchmarks
| Benchmark | Claude Opus 4.6 | GPT-5.4 Pro | Result |
|---|---|---|---|
| GPQASource | 91.3% | — | Not comparable |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 82% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 89.1% | — | Not comparable |
| HLESource | 53% | 58.7% | GPT-5.4 Pro leads |
| HLE w/o toolsSource | 40% | 42.7% | GPT-5.4 Pro leads |
| HealthBench HardSource | 14.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.8% | — | Not comparable |
| AA-GPQA DiamondSource | 84.0% | — | Not comparable |
| AA-HLESource | 18.6% | — | Not comparable |
| AA-Omniscience IndexSource | 3.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 45.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 76.0% | — | Not comparable |
| FrontierScienceSource | — | 36.7% | Not comparable |
| FrontierScience ResearchSource | — | 36.7% | Not comparable |
MathGPT-5.4 Pro wins5 benchmarks
| Benchmark | Claude Opus 4.6 | GPT-5.4 Pro | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | 99.8% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 40.700% | 50.000% | GPT-5.4 Pro leads |
| FrontierMath v2 (Tier 4)Source | 22.900% | 37.500% | GPT-5.4 Pro leads |
| IPhO 2025 (Theory)Source | — | 93.5% | Not comparable |
| FrontierMath (legacy)Source | — | 50% | Not comparable |
MultimodalGPT-5.4 Pro wins6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | GPT-5.4 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | — | Not comparable |
Frequently Asked Questions (5)
Which is better, Claude Opus 4.6 or GPT-5.4 Pro?
Claude Opus 4.6 is ahead on BenchLM's BenchAlign leaderboard, 68.59 to 60.89. The biggest single separator in this matchup is MMMU-Pro, where the scores are 77.3% and 94%.
Which is better for knowledge tasks, Claude Opus 4.6 or GPT-5.4 Pro?
Claude Opus 4.6 has the edge for knowledge tasks in this comparison, averaging 69.1 versus 58.7. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.6 or GPT-5.4 Pro?
GPT-5.4 Pro has the edge for math in this comparison, averaging 46.9 versus 36.3. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.6 or GPT-5.4 Pro?
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 89.3 versus 73. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Opus 4.6 or GPT-5.4 Pro?
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 77.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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