Model comparison
Claude Sonnet 5 vs DeepSeek V4 Pro (Max)
Head-to-head evidence from 27 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 V4 Pro (Max) unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and DeepSeek V4 Pro (Max) share 27 comparable benchmark results. 3 of 8 categories are comparable. 9 results are unique to Claude Sonnet 5; 21 to DeepSeek V4 Pro (Max).
Updated July 23, 2026- Shared results
- 27
- Claude Sonnet 5 only
- 9
- DeepSeek V4 Pro (Max) only
- 21
- Comparable categories
- 3 / 8
Treat this as a split decision. Claude Sonnet 5 makes more sense if agentic is the priority; DeepSeek V4 Pro (Max) is the better fit if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 27 shared benchmark results across 5 evidence categories; 3 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 and DeepSeek V4 Pro (Max) finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Claude Sonnet 5 is also the more expensive model on tokens at $2.00 input / $10.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 11.5x on output cost alone.
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 V4 Pro (Max) |
|---|---|---|---|
| Agentic | Claude Sonnet 581.9 | Margin← 7.4 | DeepSeek V4 Pro (Max)74.5 |
| Coding | Claude Sonnet 576.7 | Margin← 5.8 | DeepSeek V4 Pro (Max)70.9 |
| Knowledge | Claude Sonnet 557.4 | Margin→ 2.7 | DeepSeek V4 Pro (Max)60.1 |
| Math | Claude Sonnet 5Not measured | MarginNo overlap | DeepSeek V4 Pro (Max)95.2 |
| Multimodal | Claude Sonnet 588.3 | MarginNo overlap | DeepSeek V4 Pro (Max)Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 57.4%B 37.7%Winner: Claude Sonnet 5Δ 19.7HLE: Claude Sonnet 5 scored 57.4%; DeepSeek V4 Pro (Max) scored 37.7%. Claude Sonnet 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 80.4%B 67.9%Winner: Claude Sonnet 5Δ 12.5Terminal-Bench 2.0: Claude Sonnet 5 scored 80.4%; DeepSeek V4 Pro (Max) scored 67.9%. Claude Sonnet 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 63.2%B 55.4%Winner: Claude Sonnet 5Δ 7.8SWE-bench Pro: Claude Sonnet 5 scored 63.2%; DeepSeek V4 Pro (Max) scored 55.4%. Claude Sonnet 5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 85.2%B 80.6%Winner: Claude Sonnet 5Δ 4.6SWE-bench Verified: Claude Sonnet 5 scored 85.2%; DeepSeek V4 Pro (Max) scored 80.6%. Claude Sonnet 5 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.7%B 83.4%Winner: Claude Sonnet 5Δ 1.3BrowseComp: Claude Sonnet 5 scored 84.7%; DeepSeek V4 Pro (Max) scored 83.4%. 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 V4 Pro (Max) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | DeepSeek V4 Pro (Max)$0.435 input / $0.87 output | DeepSeek V4 Pro (Max) has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | DeepSeek V4 Pro (Max)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | DeepSeek V4 Pro (Max)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | DeepSeek V4 Pro (Max)1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticClaude Sonnet 5 wins19 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | 67.9% | Claude Sonnet 5 leads |
| BrowseCompSource | 84.7% | 83.4% | Claude Sonnet 5 leads |
| HLE w/ toolsSource | 57.4% | 48.2% | Claude Sonnet 5 leads |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | 1307 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 36.4% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 40.4% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | 932 | Claude Sonnet 5 leads |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | 40.4% | Claude Sonnet 5 leads |
| AA Harvey LABSource | 90.1% | 84.4% | Claude Sonnet 5 leads |
| AA Tau3 BankingSource | 28.2% | 25.8% | Claude Sonnet 5 leads |
| aaTerminalBench21Source | 80.5% | 64% | Claude Sonnet 5 leads |
| MCP AtlasSource | — | 73.6% | Not comparable |
| ToolathlonSource | — | 51.8% | Not comparable |
| APEX-Agents-AASource | — | 24.3% | Not comparable |
| τ²-bench resultsSource | — | 96.2% | Not comparable |
| AA ITBenchSource | — | 38.3% | Not comparable |
| terminalBenchHardSource | — | 46.2% | Not comparable |
CodingClaude Sonnet 5 wins11 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | 80.6% | Claude Sonnet 5 leads |
| SWE-bench ProSource | 63.2% | 55.4% | Claude Sonnet 5 leads |
| SWE MultilingualSource | 78.3% | 76.2% | Claude Sonnet 5 leads |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | 67.9% | Claude Sonnet 5 leads |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 59.4% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 50.0% | Claude Sonnet 5 leads |
| CodeforcesSource | — | 3206.0 | Not comparable |
| Vibe Code BenchSource | — | 49.93% | Not comparable |
Reasoning4 benchmarks
KnowledgeDeepSeek V4 Pro (Max) wins14 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| HLESource | 57.4% | 37.7% | Claude Sonnet 5 leads |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 44.3% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 88.8% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 35.9% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -10.0% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 43.3% | DeepSeek V4 Pro (Max) leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 94.0% | Claude Sonnet 5 leads |
| MMLU-ProSource | — | 87.5% | Not comparable |
| SimpleQASource | — | 57.9% | Not comparable |
| Chinese-SimpleQASource | — | 84.4% | Not comparable |
| GPQASource | — | 90.1% | Not comparable |
| GPQA-DSource | — | 90.1% | Not comparable |
| AA Openness IndexSource | — | 50.0% | Not comparable |
Math4 benchmarks
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 5 | DeepSeek V4 Pro (Max) | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 76.5% | Not comparable |
Frequently Asked Questions (4)
Which is better, Claude Sonnet 5 or DeepSeek V4 Pro (Max)?
Claude Sonnet 5 and DeepSeek V4 Pro (Max) are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Claude Sonnet 5 or DeepSeek V4 Pro (Max)?
DeepSeek V4 Pro (Max) has the edge for knowledge tasks in this comparison, averaging 60.1 versus 57.4. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 5 or DeepSeek V4 Pro (Max)?
Claude Sonnet 5 has the edge for coding in this comparison, averaging 76.7 versus 70.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Sonnet 5 or DeepSeek V4 Pro (Max)?
Claude Sonnet 5 has the edge for agentic tasks in this comparison, averaging 81.9 versus 74.5. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
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- DeepSeek V4 Pro (Max) vs DeepSeek V4 Pro
- DeepSeek V4 Pro (Max) vs DeepSeek V4 Pro Base
- DeepSeek V4 Pro (Max) vs DeepSeek V4 Flash Base
- DeepSeek V4 Pro (Max) vs DeepSeek V4 Flash
- Claude Sonnet 5 vs Claude Mythos 5
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