Model comparison
Claude Opus 4.8 vs GPT-5.4
Head-to-head evidence from 35 shared benchmark results across 7 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Claude Opus 4.8 #3; GPT-5.4 #11
Evidence parity. Claude Opus 4.8 and GPT-5.4 share 35 comparable benchmark results. 5 of 8 categories are comparable. 18 results are unique to Claude Opus 4.8; 19 to GPT-5.4.
Updated July 12, 2026- Shared results
- 35
- Claude Opus 4.8 only
- 18
- GPT-5.4 only
- 19
- Comparable categories
- 5 / 8
Treat this as a split decision. Claude Opus 4.8 makes more sense if coding is the priority; GPT-5.4 is the better fit if you want the cheaper token bill or you need the larger 1.05M context window.
Confidence note. This is a partial-evidence comparison with 35 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
Claude Opus 4.8 and GPT-5.4 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $2.50 input / $15.00 output per 1M tokens for GPT-5.4. GPT-5.4 gives you the larger context window at 1.05M, compared with 1M for Claude Opus 4.8.
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 4.8 | Δ | GPT-5.4 |
|---|---|---|---|
| Coding | Claude Opus 4.876.4 | Margin← 18.7 | GPT-5.457.7 |
| Math | Claude Opus 4.853.9 | Margin← 11.4 | GPT-5.442.5 |
| Knowledge | Claude Opus 4.862.7 | Margin← 5.1 | GPT-5.457.6 |
| Multimodal | Claude Opus 4.877.0 | Margin← 3.8 | GPT-5.473.2 |
| Agentic | Claude Opus 4.880.3 | Margin← 3.1 | GPT-5.477.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OfficeQA Pro
MultimodalA 66.2%B 53.2%Winner: Claude Opus 4.8Δ 13OfficeQA Pro: Claude Opus 4.8 scored 66.2%; GPT-5.4 scored 53.2%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 69.2%B 57.7%Winner: Claude Opus 4.8Δ 11.5SWE-bench Pro: Claude Opus 4.8 scored 69.2%; GPT-5.4 scored 57.7%. Claude Opus 4.8 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 83.4%B 75%Winner: Claude Opus 4.8Δ 8.4OSWorld-Verified: Claude Opus 4.8 scored 83.4%; GPT-5.4 scored 75%. Claude Opus 4.8 wins this benchmark. - Source ↗
CharXiv
MultimodalA 89.9%B 82.8%Winner: Claude Opus 4.8Δ 7.1CharXiv: Claude Opus 4.8 scored 89.9%; GPT-5.4 scored 82.8%. Claude Opus 4.8 wins this benchmark. - Source ↗
HLE
KnowledgeA 57.9%B 52.1%Winner: Claude Opus 4.8Δ 5.8HLE: Claude Opus 4.8 scored 57.9%; GPT-5.4 scored 52.1%. Claude Opus 4.8 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.8 | GPT-5.4 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | GPT-5.4$2.5 input / $15 output | GPT-5.4 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | GPT-5.474 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | GPT-5.4151.79 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | GPT-5.41.05M | GPT-5.4 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Opus 4.8 wins24 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.4 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | 75.1% | GPT-5.4 leads |
| BrowseCompSource | 84.3% | 82.7% | Claude Opus 4.8 leads |
| DeepSearchQASource | 93.1% | 73.6% | Claude Opus 4.8 leads |
| OSWorld-VerifiedSource | 83.4% | 75% | Claude Opus 4.8 leads |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1600 | 1395 | Claude Opus 4.8 leads |
| MCP AtlasSource | 82.2% | 70.6% | Claude Opus 4.8 leads |
| ToolathlonSource | 59.9% | 54.6% | Claude Opus 4.8 leads |
| Gert LabsSource | 72.97% | 64.89% | Claude Opus 4.8 leads |
| AA Agentic IndexSource | 47.2% | 41.1% | Claude Opus 4.8 leads |
| Tau2-TelecomSource | 94.4% | 87.1% | Claude Opus 4.8 leads |
| GDPval-AASource | 55.0% | 44.8% | Claude Opus 4.8 leads |
| ResearchClawBenchSource | 21.1% | 15.3% | Claude Opus 4.8 leads |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1354 | — | Not comparable |
| AA AutomationBenchSource | 48.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.0% | — | Not comparable |
| AA Harvey LABSource | 7.5% | — | Not comparable |
| AA Tau3 BankingSource | 27.6% | — | Not comparable |
| CyberGymSource | — | 79.0% | Not comparable |
| Claw-EvalSource | — | 60.3% | Not comparable |
| APEX-Agents-AASource | — | 33.3% | Not comparable |
| JobBenchSource | — | 38.9% | Not comparable |
| ExploitGymSource | — | 6.0% | Not comparable |
CodingClaude Opus 4.8 wins15 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.4 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | — | Not comparable |
| SWE-bench ProSource | 69.2% | 57.7% | Claude Opus 4.8 leads |
| SWE MultilingualSource | 84.4% | — | Not comparable |
| SWE MultimodalSource | 38.4% | — | Not comparable |
| Terminal-Bench 2.0Source | 74.6% | — | Not comparable |
| cursorBench31Source | 58.4% | — | Not comparable |
| cursorBench32Source | 62.3% | — | Not comparable |
| AA Coding IndexSource | 74.3% | 71.0% | Claude Opus 4.8 leads |
| Terminal-Bench HardSource | 58.3% | 57.6% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 53.5% | 56.6% | GPT-5.4 leads |
| FrontierCodeSource | 46.5% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 84.6% | — | Not comparable |
| LiveCodeBench ProSource | — | 87.5% | Not comparable |
| React Native EvalsSource | — | 85.3% | Not comparable |
| Vibe Code BenchSource | — | 67.42% | Not comparable |
Reasoning2 benchmarks
KnowledgeClaude Opus 4.8 wins13 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.4 | Result |
|---|---|---|---|
| GPQASource | 93.6% | 92.8% | Claude Opus 4.8 leads |
| GPQA-DSource | 93.6% | 92.8% | Claude Opus 4.8 leads |
| HLESource | 57.9% | 52.1% | Claude Opus 4.8 leads |
| HLE w/o toolsSource | 49.8% | 39.8% | Claude Opus 4.8 leads |
| Artificial Analysis Intelligence IndexSource | 55.7% | 51.4% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 92.0% | 92.0% | Tie |
| AA-HLESource | 45.7% | 41.6% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | 5.7% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 50.0% | GPT-5.4 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 88.6% | Claude Opus 4.8 leads |
| HealthBench HardSource | — | 40.1% | Not comparable |
| MedXpertQA (Text)Source | — | 59.6% | Not comparable |
| HealthBench ProfessionalSource | — | 48.1% | Not comparable |
MathClaude Opus 4.8 wins3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.4 | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
MultimodalClaude Opus 4.8 wins13 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.4 | Result |
|---|---|---|---|
| OfficeQA ProSource | 66.2% | 53.2% | Claude Opus 4.8 leads |
| ScreenSpot ProSource | 87.9% | 85.4% | Claude Opus 4.8 leads |
| CharXivSource | 89.9% | 82.8% | Claude Opus 4.8 leads |
| CharXiv w/o toolsSource | 80.5% | — | Not comparable |
| Design Arena WebsiteSource | 1281 | 1264 | Claude Opus 4.8 leads |
| MMMU-ProSource | — | 81.2% | Not comparable |
| MMMU-Pro w/ PythonSource | — | 82.1% | Not comparable |
| ERQASource | — | 65.4% | Not comparable |
| SimpleVQASource | — | 61.1% | Not comparable |
| ZeroBenchSource | — | 41.0% | Not comparable |
| MedXpertQA (MM)Source | — | 77.1% | Not comparable |
| GDPval-AASource | — | 1672 | Not comparable |
| AA-MMMU-ProSource | — | 78.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.4 | Result |
|---|---|---|---|
| AA-IFBenchSource | 62.2% | 73.9% | GPT-5.4 leads |
Frequently Asked Questions (6)
Which is better, Claude Opus 4.8 or GPT-5.4?
Claude Opus 4.8 and GPT-5.4 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Claude Opus 4.8 or GPT-5.4?
Claude Opus 4.8 has the edge for knowledge tasks in this comparison, averaging 62.7 versus 57.6. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Opus 4.8 or GPT-5.4?
Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 57.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.8 or GPT-5.4?
Claude Opus 4.8 has the edge for math in this comparison, averaging 53.9 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, Claude Opus 4.8 or GPT-5.4?
Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 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, Claude Opus 4.8 or GPT-5.4?
Claude Opus 4.8 has the edge for multimodal and grounded tasks in this comparison, averaging 77 versus 73.2. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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