Model comparison
Claude Sonnet 4.6 vs DeepSeek V3.2
Head-to-head evidence from 18 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); DeepSeek V3.2 #82 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and DeepSeek V3.2 share 18 comparable benchmark results. 2 of 8 categories are comparable. 15 results are unique to Claude Sonnet 4.6; 1 to DeepSeek V3.2.
Updated July 20, 2026- Shared results
- 18
- Claude Sonnet 4.6 only
- 15
- DeepSeek V3.2 only
- 1
- Comparable categories
- 2 / 8
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 18 shared benchmark results across 7 evidence categories; 2 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 55.4. 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 mathematics, where it averages 26.4 against 17.1. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 32.400% to 22.100%.
Claude Sonnet 4.6 is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.28 input / $0.42 output per 1M tokens for DeepSeek V3.2. That is roughly 35.7x on output cost alone. Claude Sonnet 4.6 gives you the larger context window at 200K, compared with 128K for DeepSeek V3.2.
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 Sonnet 4.6 | Δ | DeepSeek V3.2 |
|---|---|---|---|
| Math | Claude Sonnet 4.626.4 | Margin← 9.3 | DeepSeek V3.217.1 |
| Coding | Claude Sonnet 4.669.1 | Margin← 8.2 | DeepSeek V3.260.9 |
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | DeepSeek V3.2Not measured |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | DeepSeek V3.2Not measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | DeepSeek V3.2Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 32.400%B 22.100%Winner: Claude Sonnet 4.6Δ 10.3FrontierMath v2 (Tiers 1-3): Claude Sonnet 4.6 scored 32.400%; DeepSeek V3.2 scored 22.100%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
FrontierMath v2 (Tier 4)
MathA 8.300%B 2.100%Winner: Claude Sonnet 4.6Δ 6.2FrontierMath v2 (Tier 4): Claude Sonnet 4.6 scored 8.300%; DeepSeek V3.2 scored 2.100%. Claude Sonnet 4.6 wins this benchmark. - Source ↗
SWE-Rebench
CodingA 60.7%B 60.9%Winner: DeepSeek V3.2Δ 0.2SWE-Rebench: Claude Sonnet 4.6 scored 60.7%; DeepSeek V3.2 scored 60.9%. DeepSeek V3.2 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 | DeepSeek V3.2 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | DeepSeek V3.2$0.28 input / $0.42 output | DeepSeek V3.2 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | DeepSeek V3.235 tok/s | Claude Sonnet 4.6 has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | DeepSeek V3.23.75 s | Claude Sonnet 4.6 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | DeepSeek V3.2128K | Claude Sonnet 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.2 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | 40.2% | Claude Sonnet 4.6 leads |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 78.9% | Claude Sonnet 4.6 leads |
| Gert LabsSource | 62.92% | 29.57% | Claude Sonnet 4.6 leads |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
| VITA-BenchSource | — | 18.5% | Not comparable |
CodingClaude Sonnet 4.6 wins7 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.2 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | 60.9% | DeepSeek V3.2 leads |
| React Native EvalsSource | 80.6% | 71.5% | Claude Sonnet 4.6 leads |
| Vibe Code BenchSource | 51.48% | — | Not comparable |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 38.7% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.2 | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 24.7% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 75.1% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 10.5% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -46.7% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 24.2% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 93.5% | Claude Sonnet 4.6 leads |
MathClaude Sonnet 4.6 wins2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | DeepSeek V3.2 | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 49.0% | DeepSeek V3.2 leads |
Frequently Asked Questions (3)
Which is better, Claude Sonnet 4.6 or DeepSeek V3.2?
Claude Sonnet 4.6 is ahead on BenchLM's BenchAlign leaderboard, 65.07 to 55.4. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 32.400% and 22.100%.
Which is better for coding, Claude Sonnet 4.6 or DeepSeek V3.2?
Claude Sonnet 4.6 has the edge for coding in this comparison, averaging 69.1 versus 60.9. Inside this category, React Native Evals is the benchmark that creates the most daylight between them.
Which is better for math, Claude Sonnet 4.6 or DeepSeek V3.2?
Claude Sonnet 4.6 has the edge for math in this comparison, averaging 26.4 versus 17.1. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.