Model comparison
Claude Sonnet 4.6 vs GPT-5.2
Head-to-head evidence from 21 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 4.6 #32 (Supported); GPT-5.2 #64 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and GPT-5.2 share 21 comparable benchmark results. 5 of 8 categories are comparable. 12 results are unique to Claude Sonnet 4.6; 7 to GPT-5.2.
Updated July 20, 2026- Shared results
- 21
- Claude Sonnet 4.6 only
- 12
- GPT-5.2 only
- 7
- Comparable categories
- 5 / 8
Pick Claude Sonnet 4.6 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 21 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 Sonnet 4.6 is clearly ahead on the BenchAlign aggregate, 65.07 to 58.43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.6's sharpest advantage is in agentic, where it averages 65.2 against 55.7. The single biggest benchmark swing on the page is OSWorld-Verified, 72.1% 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 Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 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 Sonnet 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-5.2 gives you the larger context window at 400K, compared with 200K for Claude Sonnet 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 Sonnet 4.6 | Δ | GPT-5.2 |
|---|---|---|---|
| Knowledge | Claude Sonnet 4.666.0 | Margin→ 26.4 | GPT-5.292.4 |
| Agentic | Claude Sonnet 4.665.2 | Margin← 9.5 | GPT-5.255.7 |
| Math | Claude Sonnet 4.626.4 | Margin→ 8.8 | GPT-5.235.2 |
| Multimodal | Claude Sonnet 4.677.4 | Margin→ 3.0 | GPT-5.280.4 |
| Coding | Claude Sonnet 4.669.1 | Margin→ 1.5 | GPT-5.270.6 |
| Reasoning | Claude Sonnet 4.6Not 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 72.1%B 47.3%Winner: Claude Sonnet 4.6Δ 24.8OSWorld-Verified: Claude Sonnet 4.6 scored 72.1%; GPT-5.2 scored 47.3%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 8.300%B 18.800%Winner: GPT-5.2Δ 10.5FrontierMath v2 (Tier 4): Claude Sonnet 4.6 scored 8.300%; GPT-5.2 scored 18.800%. GPT-5.2 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 32.400%B 40.700%Winner: GPT-5.2Δ 8.3FrontierMath v2 (Tiers 1-3): Claude Sonnet 4.6 scored 32.400%; GPT-5.2 scored 40.700%. GPT-5.2 wins this benchmark. - Source ↗
CharXiv
MultimodalA 77.4%B 82.1%Winner: GPT-5.2Δ 4.7CharXiv: Claude Sonnet 4.6 scored 77.4%; GPT-5.2 scored 82.1%. GPT-5.2 wins this benchmark. - Source ↗
GPQA
KnowledgeA 89.9%B 92.4%Winner: GPT-5.2Δ 2.5GPQA: Claude Sonnet 4.6 scored 89.9%; GPT-5.2 scored 92.4%. 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 Sonnet 4.6 | GPT-5.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | GPT-5.2$1.75 input / $14 output | GPT-5.2 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | GPT-5.273 tok/s | GPT-5.2 has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | GPT-5.2130.34 s | Claude Sonnet 4.6 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | GPT-5.2400K | GPT-5.2 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Sonnet 4.6 wins9 benchmarks
| Benchmark | Claude Sonnet 4.6 | GPT-5.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | 47.3% | Claude Sonnet 4.6 leads |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 84.8% | GPT-5.2 leads |
| Gert LabsSource | 62.92% | 46.54% | Claude Sonnet 4.6 leads |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | 34.3% | Claude Sonnet 4.6 leads |
| BrowseCompSource | — | 65.8% | Not comparable |
CodingGPT-5.2 wins8 benchmarks
| Benchmark | Claude Sonnet 4.6 | GPT-5.2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | 80% | GPT-5.2 leads |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | 53.50% | GPT-5.2 leads |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 52.1% | GPT-5.2 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
| SWE-bench ProSource | — | 55.6% | Not comparable |
Reasoning3 benchmarks
KnowledgeGPT-5.2 wins10 benchmarks
| Benchmark | Claude Sonnet 4.6 | GPT-5.2 | Result |
|---|---|---|---|
| GPQASource | 89.9% | 92.4% | GPT-5.2 leads |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 42.2% | GPT-5.2 leads |
| AA-GPQA DiamondSource | 79.9% | 90.3% | GPT-5.2 leads |
| AA-HLESource | 13.2% | 35.4% | GPT-5.2 leads |
| AA-Omniscience IndexSource | -2.9% | -1.0% | GPT-5.2 leads |
| AA-Omniscience AccuracySource | 38.0% | 43.8% | GPT-5.2 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 79.7% | Claude Sonnet 4.6 leads |
MathGPT-5.2 wins3 benchmarks
MultimodalGPT-5.2 wins6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | GPT-5.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 75.4% | GPT-5.2 leads |
Frequently Asked Questions (6)
Which is better, Claude Sonnet 4.6 or GPT-5.2?
Claude Sonnet 4.6 is ahead on BenchLM's BenchAlign leaderboard, 65.07 to 58.43. The biggest single separator in this matchup is OSWorld-Verified, where the scores are 72.1% and 47.3%.
Which is better for knowledge tasks, Claude Sonnet 4.6 or GPT-5.2?
GPT-5.2 has the edge for knowledge tasks in this comparison, averaging 92.4 versus 66. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 4.6 or GPT-5.2?
GPT-5.2 has the edge for coding in this comparison, averaging 70.6 versus 69.1. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for math, Claude Sonnet 4.6 or GPT-5.2?
GPT-5.2 has the edge for math in this comparison, averaging 35.2 versus 26.4. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Sonnet 4.6 or GPT-5.2?
Claude Sonnet 4.6 has the edge for agentic tasks in this comparison, averaging 65.2 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 Sonnet 4.6 or GPT-5.2?
GPT-5.2 has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 77.4. Inside this category, Design Arena Website is the benchmark that creates the most daylight between them.
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