Model comparison
Claude Opus 4.8 vs GPT-5.2
Head-to-head evidence from 22 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-5.2 #29
Evidence parity. Claude Opus 4.8 and GPT-5.2 share 22 comparable benchmark results. 5 of 8 categories are comparable. 31 results are unique to Claude Opus 4.8; 7 to GPT-5.2.
Updated July 12, 2026- Shared results
- 22
- Claude Opus 4.8 only
- 31
- GPT-5.2 only
- 7
- Comparable categories
- 5 / 8
Pick Claude Opus 4.8 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 22 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 is clearly ahead on the provisional aggregate, 85 to 75. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.8's sharpest advantage is in agentic, where it averages 80.3 against 55.7. The single biggest benchmark swing on the page is OSWorld-Verified, 83.4% to 47.3%. 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 4.8 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. Claude Opus 4.8 gives you the larger context window at 1M, compared with 400K for GPT-5.2.
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-5.2 |
|---|---|---|---|
| Knowledge | Claude Opus 4.862.7 | Margin→ 29.7 | GPT-5.292.4 |
| Agentic | Claude Opus 4.880.3 | Margin← 24.6 | GPT-5.255.7 |
| Math | Claude Opus 4.853.9 | Margin← 18.7 | GPT-5.235.2 |
| Coding | Claude Opus 4.876.4 | Margin← 11.7 | GPT-5.264.7 |
| Multimodal | Claude Opus 4.877.0 | Margin→ 3.4 | GPT-5.280.4 |
| Reasoning | Claude Opus 4.8Not measured | MarginNo overlap | GPT-5.252.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OSWorld-Verified
AgenticA 83.4%B 47.3%Winner: Claude Opus 4.8Δ 36.1OSWorld-Verified: Claude Opus 4.8 scored 83.4%; GPT-5.2 scored 47.3%. Claude Opus 4.8 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.3%B 65.8%Winner: Claude Opus 4.8Δ 18.5BrowseComp: Claude Opus 4.8 scored 84.3%; GPT-5.2 scored 65.8%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 69.2%B 55.6%Winner: Claude Opus 4.8Δ 13.6SWE-bench Pro: Claude Opus 4.8 scored 69.2%; GPT-5.2 scored 55.6%. Claude Opus 4.8 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 31.250%B 18.800%Winner: Claude Opus 4.8Δ 12.5FrontierMath v2 (Tier 4): Claude Opus 4.8 scored 31.250%; GPT-5.2 scored 18.800%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 88.6%B 80%Winner: Claude Opus 4.8Δ 8.6SWE-bench Verified: Claude Opus 4.8 scored 88.6%; GPT-5.2 scored 80%. 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-5.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$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 4.8Not available | GPT-5.273 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | GPT-5.2130.34 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | GPT-5.2400K | Claude Opus 4.8 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Opus 4.8 wins20 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | — | Not comparable |
| BrowseCompSource | 84.3% | 65.8% | Claude Opus 4.8 leads |
| DeepSearchQASource | 93.1% | — | Not comparable |
| OSWorld-VerifiedSource | 83.4% | 47.3% | Claude Opus 4.8 leads |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1600 | — | Not comparable |
| MCP AtlasSource | 82.2% | — | Not comparable |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | 46.54% | Claude Opus 4.8 leads |
| AA Agentic IndexSource | 47.2% | — | Not comparable |
| Tau2-TelecomSource | 94.4% | 84.8% | Claude Opus 4.8 leads |
| GDPval-AASource | 55.0% | — | Not comparable |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| 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 |
| JobBenchSource | — | 34.3% | Not comparable |
CodingClaude Opus 4.8 wins13 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | 80% | Claude Opus 4.8 leads |
| SWE-bench ProSource | 69.2% | 55.6% | 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% | — | Not comparable |
| Terminal-Bench HardSource | 58.3% | 47.0% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 53.5% | 52.1% | Claude Opus 4.8 leads |
| FrontierCodeSource | 46.5% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 84.6% | — | Not comparable |
| Vibe Code BenchSource | — | 53.50% | Not comparable |
Reasoning3 benchmarks
KnowledgeGPT-5.2 wins10 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.2 | Result |
|---|---|---|---|
| GPQASource | 93.6% | 92.4% | Claude Opus 4.8 leads |
| GPQA-DSource | 93.6% | — | Not comparable |
| HLESource | 57.9% | — | Not comparable |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | 42.2% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 92.0% | 90.3% | Claude Opus 4.8 leads |
| AA-HLESource | 45.7% | 35.4% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | -1.0% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 43.8% | Claude Opus 4.8 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 79.7% | Claude Opus 4.8 leads |
MathClaude Opus 4.8 wins4 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.2 | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
MultimodalGPT-5.2 wins8 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.2 | Result |
|---|---|---|---|
| OfficeQA ProSource | 66.2% | — | Not comparable |
| ScreenSpot ProSource | 87.9% | — | Not comparable |
| CharXivSource | 89.9% | 82.1% | Claude Opus 4.8 leads |
| CharXiv w/o toolsSource | 80.5% | — | Not comparable |
| Design Arena WebsiteSource | 1281 | 1237 | Claude Opus 4.8 leads |
| MMMU-ProSource | — | 79.5% | Not comparable |
| MathVisionSource | — | 83.0% | Not comparable |
| V*Source | — | 75.9% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-5.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 62.2% | 75.4% | GPT-5.2 leads |
Frequently Asked Questions (6)
Which is better, Claude Opus 4.8 or GPT-5.2?
Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 75. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 83.4% and 47.3%.
Which is better for knowledge tasks, Claude Opus 4.8 or GPT-5.2?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 62.7. 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-5.2?
Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 64.7. 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-5.2?
Claude Opus 4.8 has the edge for math in this comparison, averaging 53.9 versus 35.2. 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-5.2?
Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 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 4.8 or GPT-5.2?
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 77. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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