Model comparison
Claude Sonnet 5 vs DeepSeek V3
Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); DeepSeek V3 #147 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and DeepSeek V3 share 15 comparable benchmark results. 2 of 8 categories are comparable. 21 results are unique to Claude Sonnet 5; 7 to DeepSeek V3.
Updated July 23, 2026- Shared results
- 15
- Claude Sonnet 5 only
- 21
- DeepSeek V3 only
- 7
- Comparable categories
- 2 / 8
Pick Claude Sonnet 5 if you want the stronger benchmark profile. DeepSeek V3 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 15 shared benchmark results across 5 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 5 is clearly ahead on the BenchAlign aggregate, 65.32 to 44.97. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5's sharpest advantage is in coding, where it averages 76.7 against 38.9. The single biggest benchmark swing on the page is SWE-bench Verified, 85.2% to 42%. DeepSeek V3 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Sonnet 5 is also the more expensive model on tokens at $2.00 input / $10.00 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek V3. That is roughly 9.1x on output cost alone. Claude Sonnet 5 is the reasoning model in the pair, while DeepSeek V3 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. Claude Sonnet 5 gives you the larger context window at 1M, compared with 128K for DeepSeek V3.
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 5 | Δ | DeepSeek V3 |
|---|---|---|---|
| Coding | Claude Sonnet 576.7 | Margin← 37.8 | DeepSeek V338.9 |
| Knowledge | Claude Sonnet 557.4 | Margin→ 15.3 | DeepSeek V372.7 |
| Agentic | Claude Sonnet 581.9 | MarginNo overlap | DeepSeek V3Not measured |
| Math | Claude Sonnet 5Not measured | MarginNo overlap | DeepSeek V31.7 |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | DeepSeek V3Not measured |
| Inst. Following | Claude Sonnet 5Not measured | MarginNo overlap | DeepSeek V386.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 85.2%B 42%Winner: Claude Sonnet 5Δ 43.2SWE-bench Verified: Claude Sonnet 5 scored 85.2%; DeepSeek V3 scored 42%. Claude Sonnet 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | DeepSeek V3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | DeepSeek V3$0.27 input / $1.1 output | DeepSeek V3 has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | DeepSeek V3Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | DeepSeek V3Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | DeepSeek V3128K | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V3 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| BrowseCompSource | 84.7% | — | Not comparable |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | 217 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 1.6% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 0.0% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| τ²-bench resultsSource | — | 22.8% | Not comparable |
CodingClaude Sonnet 5 wins10 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V3 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | 42% | Claude Sonnet 5 leads |
| SWE-bench ProSource | 63.2% | — | Not comparable |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 23.0% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 35.4% | Claude Sonnet 5 leads |
| LiveCodeBenchSource | — | 37.6% | Not comparable |
Reasoning2 benchmarks
KnowledgeDeepSeek V3 wins10 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V3 | Result |
|---|---|---|---|
| HLESource | 57.4% | — | Not comparable |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 14.2% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 55.7% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 3.6% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -41.3% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 25.4% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 89.4% | Claude Sonnet 5 leads |
| GPQASource | — | 59.1% | Not comparable |
| MMLU-ProSource | — | 75.9% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V3 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 1.724% | Not comparable |
Multimodal4 benchmarks
Frequently Asked Questions (3)
Which is better, Claude Sonnet 5 or DeepSeek V3?
Claude Sonnet 5 is ahead on BenchLM's BenchAlign leaderboard, 65.32 to 44.97. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 85.2% and 42%.
Which is better for knowledge tasks, Claude Sonnet 5 or DeepSeek V3?
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 72.7 versus 57.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 5 or DeepSeek V3?
Claude Sonnet 5 has the edge for coding in this comparison, averaging 76.7 versus 38.9. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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