Model comparison
Claude 3.5 Sonnet vs DeepSeek V4 Pro
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 3.5 Sonnet #132 (Estimated); DeepSeek V4 Pro #46 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 3.5 Sonnet and DeepSeek V4 Pro share 2 comparable benchmark results. 3 of 8 categories are comparable. 2 results are unique to Claude 3.5 Sonnet; 21 to DeepSeek V4 Pro.
Updated July 23, 2026- Shared results
- 2
- Claude 3.5 Sonnet only
- 2
- DeepSeek V4 Pro only
- 21
- Comparable categories
- 3 / 8
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Claude 3.5 Sonnet only becomes the better choice if knowledge is the priority.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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
DeepSeek V4 Pro is clearly ahead on the BenchAlign aggregate, 60.66 to 47.74. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Pro's sharpest advantage is in mathematics, where it averages 31.7 against 1.6. The single biggest benchmark swing on the page is SWE-bench Verified, 49% to 73.6%. Claude 3.5 Sonnet does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude 3.5 Sonnet is also the more expensive model on tokens at $3.00 input / $15.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro. That is roughly 17.2x on output cost alone. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 200K for Claude 3.5 Sonnet.
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 3.5 Sonnet | Δ | DeepSeek V4 Pro |
|---|---|---|---|
| Math | Claude 3.5 Sonnet1.6 | Margin→ 30.1 | DeepSeek V4 Pro31.7 |
| Knowledge | Claude 3.5 Sonnet59.4 | Margin← 18.1 | DeepSeek V4 Pro41.3 |
| Coding | Claude 3.5 Sonnet49.0 | Margin→ 16.3 | DeepSeek V4 Pro65.3 |
| Agentic | Claude 3.5 SonnetNot measured | MarginNo overlap | DeepSeek V4 Pro59.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 49%B 73.6%Winner: DeepSeek V4 ProΔ 24.6SWE-bench Verified: Claude 3.5 Sonnet scored 49%; DeepSeek V4 Pro scored 73.6%. DeepSeek V4 Pro wins this benchmark. - Source ↗
GPQA
KnowledgeA 59.4%B 72.9%Winner: DeepSeek V4 ProΔ 13.5GPQA: Claude 3.5 Sonnet scored 59.4%; DeepSeek V4 Pro scored 72.9%. DeepSeek V4 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 3.5 Sonnet | DeepSeek V4 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 3.5 Sonnet$3 input / $15 output | DeepSeek V4 Pro$0.435 input / $0.87 output | DeepSeek V4 Pro has the lower combined listed price. |
| Generation speedtokens per second | Claude 3.5 SonnetNot available | DeepSeek V4 ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 3.5 SonnetNot available | DeepSeek V4 ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 3.5 Sonnet200K | DeepSeek V4 Pro1M | DeepSeek V4 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
CodingDeepSeek V4 Pro wins4 benchmarks
Reasoning2 benchmarks
KnowledgeClaude 3.5 Sonnet wins6 benchmarks
MathDeepSeek V4 Pro wins6 benchmarks
| Benchmark | Claude 3.5 Sonnet | DeepSeek V4 Pro | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 2.069% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 0.000% | — | Not comparable |
| HMMT Feb 2026Source | — | 31.7% | Not comparable |
| IMOAnswerBenchSource | — | 35.3% | Not comparable |
| ApexSource | — | 0.4% | Not comparable |
| Apex ShortlistSource | — | 9.2% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Claude 3.5 Sonnet | DeepSeek V4 Pro | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1264 | Not comparable |
Frequently Asked Questions (4)
Which is better, Claude 3.5 Sonnet or DeepSeek V4 Pro?
DeepSeek V4 Pro is ahead on BenchLM's BenchAlign leaderboard, 60.66 to 47.74. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 49% and 73.6%.
Which is better for knowledge tasks, Claude 3.5 Sonnet or DeepSeek V4 Pro?
Claude 3.5 Sonnet has the edge for knowledge tasks in this comparison, averaging 59.4 versus 41.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, Claude 3.5 Sonnet or DeepSeek V4 Pro?
DeepSeek V4 Pro has the edge for coding in this comparison, averaging 65.3 versus 49. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for math, Claude 3.5 Sonnet or DeepSeek V4 Pro?
DeepSeek V4 Pro has the edge for math in this comparison, averaging 31.7 versus 1.6. Claude 3.5 Sonnet stays close enough that the answer can still flip depending on your workload.
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