Model comparison
Claude Opus 4.5 vs GPT-5.2
Head-to-head evidence from 24 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.5 #34 (Supported); GPT-5.2 #64 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 and GPT-5.2 share 24 comparable benchmark results. 6 of 8 categories are comparable. 35 results are unique to Claude Opus 4.5; 4 to GPT-5.2.
Updated July 20, 2026- Shared results
- 24
- Claude Opus 4.5 only
- 35
- GPT-5.2 only
- 4
- Comparable categories
- 6 / 8
Pick Claude Opus 4.5 if you want the stronger benchmark profile. GPT-5.2 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 24 shared benchmark results across 7 evidence categories; 6 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 4.5 is clearly ahead on the BenchAlign aggregate, 64.22 to 58.43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.5's sharpest advantage is in mathematics, where it averages 57.5 against 35.2. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 20.690% to 40.700%. GPT-5.2 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.5 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.2. GPT-5.2 is the reasoning model in the pair, while Claude Opus 4.5 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-5.2 gives you the larger context window at 400K, compared with 200K for Claude Opus 4.5.
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 | Claude Opus 4.5 | Δ | GPT-5.2 |
|---|---|---|---|
| Knowledge | Claude Opus 4.558.1 | Margin→ 34.3 | GPT-5.292.4 |
| Math | Claude Opus 4.557.5 | Margin← 22.3 | GPT-5.235.2 |
| Reasoning | Claude Opus 4.564.4 | Margin← 11.5 | GPT-5.252.9 |
| Multimodal | Claude Opus 4.569.9 | Margin→ 10.5 | GPT-5.280.4 |
| Agentic | Claude Opus 4.562.6 | Margin← 6.9 | GPT-5.255.7 |
| Coding | Claude Opus 4.571.7 | Margin← 1.1 | GPT-5.270.6 |
| Multilingual | Claude Opus 4.585.7 | MarginNo overlap | GPT-5.2Not measured |
| Inst. Following | Claude Opus 4.569.5 | MarginNo overlap | GPT-5.2Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 20.690%B 40.700%Winner: GPT-5.2Δ 20FrontierMath v2 (Tiers 1-3): Claude Opus 4.5 scored 20.690%; GPT-5.2 scored 40.700%. GPT-5.2 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 66.3%B 47.3%Winner: Claude Opus 4.5Δ 19OSWorld-Verified: Claude Opus 4.5 scored 66.3%; GPT-5.2 scored 47.3%. Claude Opus 4.5 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 4.167%B 18.800%Winner: GPT-5.2Δ 14.6FrontierMath v2 (Tier 4): Claude Opus 4.5 scored 4.167%; GPT-5.2 scored 18.800%. GPT-5.2 wins this benchmark. - Source ↗
CharXiv
MultimodalA 68.5%B 82.1%Winner: GPT-5.2Δ 13.6CharXiv: Claude Opus 4.5 scored 68.5%; GPT-5.2 scored 82.1%. GPT-5.2 wins this benchmark. - Source ↗
MMMU-Pro
MultimodalA 70.6%B 79.5%Winner: GPT-5.2Δ 8.9MMMU-Pro: Claude Opus 4.5 scored 70.6%; GPT-5.2 scored 79.5%. GPT-5.2 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 | GPT-5.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5$5 input / $25 output | GPT-5.2$1.75 input / $14 output | GPT-5.2 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.546 tok/s | GPT-5.273 tok/s | GPT-5.2 has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Opus 4.51.01 s | GPT-5.2130.34 s | Claude Opus 4.5 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Opus 4.5200K | GPT-5.2400K | GPT-5.2 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Opus 4.5 wins17 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.3% | — | Not comparable |
| OSWorld-VerifiedSource | 66.3% | 47.3% | Claude Opus 4.5 leads |
| OSWorldSource | 66.3% | — | Not comparable |
| Claw-EvalSource | 59.6% | — | Not comparable |
| QwenClawBenchSource | 52.3% | — | Not comparable |
| τ³-bench resultsSource | 70.2% | — | Not comparable |
| VITA-BenchSource | 23.3% | — | Not comparable |
| DeepPlanningSource | 26.4% | — | Not comparable |
| ToolathlonSource | 43.5% | — | Not comparable |
| MCP AtlasSource | 42.3% | — | Not comparable |
| MCP-TasksSource | 71.8% | — | Not comparable |
| WideResearchSource | 76.4% | — | Not comparable |
| CyberGymSource | 50.6% | — | Not comparable |
| τ²-bench resultsSource | 86.3% | 84.8% | Claude Opus 4.5 leads |
| Gert LabsSource | 64.23% | 46.54% | Claude Opus 4.5 leads |
| JobBenchSource | 32.3% | 34.3% | GPT-5.2 leads |
| BrowseCompSource | — | 65.8% | Not comparable |
CodingClaude Opus 4.5 wins7 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.9% | 80% | Claude Opus 4.5 leads |
| LiveCodeBench v6Source | 84.8% | — | Not comparable |
| SWE-bench ProSource | 57.1% | 55.6% | Claude Opus 4.5 leads |
| SWE MultilingualSource | 77.5% | — | Not comparable |
| NL2RepoSource | 43.2% | — | Not comparable |
| AA-SciCodeSource | 47.0% | 52.1% | GPT-5.2 leads |
| Vibe Code BenchSource | — | 53.50% | Not comparable |
ReasoningClaude Opus 4.5 wins5 benchmarks
KnowledgeGPT-5.2 wins13 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.2 | Result |
|---|---|---|---|
| GPQASource | 87% | 92.4% | GPT-5.2 leads |
| SuperGPQASource | 70.6% | — | Not comparable |
| MMLU-ProSource | 89.5% | — | Not comparable |
| MMLU-ReduxSource | 96.6% | — | Not comparable |
| C-EvalSource | 92.2% | — | Not comparable |
| HLESource | 30.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 34.7% | 42.2% | GPT-5.2 leads |
| AA-GPQA DiamondSource | 81.0% | 90.3% | GPT-5.2 leads |
| AA-HLESource | 12.9% | 35.4% | GPT-5.2 leads |
| AA-Omniscience IndexSource | -3.9% | -1.0% | GPT-5.2 leads |
| AA-Omniscience AccuracySource | 40.7% | 43.8% | GPT-5.2 leads |
| AA-Omniscience Hallucination RateSource | 75.4% | 79.7% | Claude Opus 4.5 leads |
| AA MMLU-ProSource | 88.9% | — | Not comparable |
MathClaude Opus 4.5 wins8 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.2 | Result |
|---|---|---|---|
| AIME26Source | 95.1% | — | Not comparable |
| HMMT Feb 2025Source | 92.9% | — | Not comparable |
| HMMT Nov 2025Source | 93.3% | — | Not comparable |
| HMMT Feb 2026Source | 85.3% | — | Not comparable |
| MMAnswerBenchSource | 84.0% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 20.690% | 40.700% | GPT-5.2 leads |
| FrontierMath v2 (Tier 4)Source | 4.167% | 18.800% | GPT-5.2 leads |
| AA AIME 2025Source | — | 99.0% | Not comparable |
Multilingual2 benchmarks
MultimodalGPT-5.2 wins8 benchmarks
| Benchmark | Claude Opus 4.5 | GPT-5.2 | Result |
|---|---|---|---|
| MMMU-ProSource | 70.6% | 79.5% | GPT-5.2 leads |
| MathVisionSource | 74.3% | 83.0% | GPT-5.2 leads |
| CharXivSource | 68.5% | 82.1% | GPT-5.2 leads |
| VideoMMMUSource | 84.4% | — | Not comparable |
| ScreenSpot ProSource | 45.7% | — | Not comparable |
| V*Source | 67.0% | 75.9% | GPT-5.2 leads |
| AA-MMMU-ProSource | 71.2% | — | Not comparable |
| Design Arena WebsiteSource | 1279 | 1227 | Claude Opus 4.5 leads |
Frequently Asked Questions (7)
Which is better, Claude Opus 4.5 or GPT-5.2?
Claude Opus 4.5 is ahead on BenchLM's BenchAlign leaderboard, 64.22 to 58.43. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 20.690% and 40.700%.
Which is better for knowledge tasks, Claude Opus 4.5 or GPT-5.2?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 58.1. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Opus 4.5 or GPT-5.2?
Claude Opus 4.5 has the edge for coding in this comparison, averaging 71.7 versus 70.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.5 or GPT-5.2?
Claude Opus 4.5 has the edge for math in this comparison, averaging 57.5 versus 35.2. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Which is better for reasoning, Claude Opus 4.5 or GPT-5.2?
Claude Opus 4.5 has the edge for reasoning in this comparison, averaging 64.4 versus 52.9. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Opus 4.5 or GPT-5.2?
Claude Opus 4.5 has the edge for agentic tasks in this comparison, averaging 62.6 versus 55.7. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Opus 4.5 or GPT-5.2?
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 69.9. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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