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Model comparison

Claude Opus 5 vs DeepSeek V4 Pro (High)

Data verified

Head-to-head evidence from 20 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Anthropic
85.88/100
Margin
30.4pts
← winning
55.45/100
3 category wins0 category wins

Public leaderboard positions: Claude Opus 5 #1 (Estimated); DeepSeek V4 Pro (High) #83 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 5 and DeepSeek V4 Pro (High) share 20 comparable benchmark results. 3 of 8 categories are comparable. 59 results are unique to Claude Opus 5; 18 to DeepSeek V4 Pro (High).

Updated July 24, 2026
Shared results
20
Claude Opus 5 only
59
DeepSeek V4 Pro (High) only
18
Comparable categories
3 / 8

Pick Claude Opus 5 if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 4 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 Opus 5 is clearly ahead on the BenchAlign aggregate, 85.88 to 55.45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 5's sharpest advantage is in agentic, where it averages 90.8 against 70.6. The single biggest benchmark swing on the page is HLE, 64.7% to 34.5%.

Claude Opus 5 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (High). That is roughly 28.7x 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 scores and score margins for Claude Opus 5 and DeepSeek V4 Pro (High)
CategoryClaude Opus 5ΔDeepSeek V4 Pro (High)
AgenticClaude Opus 590.8Margin 20.2DeepSeek V4 Pro (High)70.6
CodingClaude Opus 589.5Margin 19.7DeepSeek V4 Pro (High)69.8
KnowledgeClaude Opus 564.7Margin 7.7DeepSeek V4 Pro (High)57.0
ReasoningClaude Opus 590.4MarginNo overlapDeepSeek V4 Pro (High)Not measured
MathClaude Opus 5Not measuredMarginNo overlapDeepSeek V4 Pro (High)94.0
MultimodalClaude Opus 566.9MarginNo overlapDeepSeek V4 Pro (High)Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Claude Opus 5B · DeepSeek V4 Pro (High)
  1. HLE

    Knowledge
    Source ↗
    A 64.7%B 34.5%
    Winner: Claude Opus 5Δ 30.2
    HLE: Claude Opus 5 scored 64.7%; DeepSeek V4 Pro (High) scored 34.5%. Claude Opus 5 wins this benchmark.
  2. SWE-bench Pro

    Coding
    Source ↗
    A 79.2%B 54.4%
    Winner: Claude Opus 5Δ 24.8
    SWE-bench Pro: Claude Opus 5 scored 79.2%; DeepSeek V4 Pro (High) scored 54.4%. Claude Opus 5 wins this benchmark.
  3. SWE-bench Verified

    Coding
    Source ↗
    A 96%B 79.4%
    Winner: Claude Opus 5Δ 16.6
    SWE-bench Verified: Claude Opus 5 scored 96%; DeepSeek V4 Pro (High) scored 79.4%. Claude Opus 5 wins this benchmark.
  4. BrowseComp

    Agentic
    Source ↗
    A 90.8%B 80.4%
    Winner: Claude Opus 5Δ 10.4
    BrowseComp: Claude Opus 5 scored 90.8%; DeepSeek V4 Pro (High) scored 80.4%. Claude Opus 5 wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Opus 5DeepSeek V4 Pro (High)Comparison
Input / output priceUSD per 1M tokensClaude Opus 5$5 input / $25 outputDeepSeek V4 Pro (High)$0.435 input / $0.87 outputDeepSeek V4 Pro (High) has the lower combined listed price.
Generation speedtokens per secondClaude Opus 5Not availableDeepSeek V4 Pro (High)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 5Not availableDeepSeek V4 Pro (High)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 5Not availableDeepSeek V4 Pro (High)1MA complete context comparison is not available.

Benchmark Deep Dive

AgenticClaude Opus 5 wins
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
FrontierBench v0.1Source 43.3%Not comparable
BrowseCompSource 90.8%80.4%Claude Opus 5 leads
HLE w/ toolsSource 64.7%44.7%Claude Opus 5 leads
DeepSearchQASource 95.0%Not comparable
DRACOSource 88.6%Not comparable
BrowseComp (10-agent, prerelease)Source 93.6%Not comparable
OSWorld 2.0Source 70.6%Not comparable
MCP AtlasSource 85.8%74.2%Claude Opus 5 leads
MCP-Atlas claim coverageSource 89.1%Not comparable
LAB all-pass (Anthropic harness)Source 23.58%Not comparable
LAB criterion-pass (Anthropic harness)Source 93.74%Not comparable
LAB all-pass (Harvey held-out)Source 11.7%Not comparable
LAB criterion-pass (Harvey held-out)Source 94.1%Not comparable
GDPval-AASource 18611299Claude Opus 5 leads
Toolathlon-VerifiedSource 80.6%Not comparable
Toolathlon Verified Pass@3Source 87.0%Not comparable
Toolathlon Verified Pass³Source 73.1%Not comparable
Toolathlon Verified avg. turnsSource 23.5 turnsNot comparable
AutomationBenchSource 26.0%Not comparable
AA Agentic IndexSource 55.3%34.4%Claude Opus 5 leads
GDPval-AASource 68.0%40.0%Claude Opus 5 leads
AA Tau3 BankingSource 30.3%Not comparable
AA BriefcaseSource 1720Not comparable
aaTerminalBench21Source 89.1%Not comparable
Terminal-Bench 2.0Source 63.3%Not comparable
ToolathlonSource 49%Not comparable
τ²-bench resultsSource 94.2%Not comparable
CodingClaude Opus 5 wins
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
SWE-bench VerifiedSource 96%79.4%Claude Opus 5 leads
SWE-bench ProSource 79.2%54.4%Claude Opus 5 leads
SWE MultilingualSource 89.5%74.1%Claude Opus 5 leads
SWE MultimodalSource 59.4%Not comparable
deepSweSource 68.8%Not comparable
FrontierCode 1.1 MainSource 53.4%Not comparable
FrontierCode 1.1 ExtendedSource 63.6%Not comparable
ProgramBench (episode 1)Source 83.0%Not comparable
ProgramBenchSource 93.0%Not comparable
cursorBench32Source 70.0%Not comparable
AA Coding IndexSource 78.0%58.7%Claude Opus 5 leads
AA-SciCodeSource 55.7%46.4%Claude Opus 5 leads
CodeforcesSource 2919.0Not comparable
Terminal-Bench 2.0Source 63.3%Not comparable
Reasoning
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
ARC-AGI-1Source 97.50%Not comparable
ARC-AGI-2Source 90.4%Not comparable
ARC-AGI-3Source 30.2%Not comparable
AA-LCRSource 70.0%65.0%Claude Opus 5 leads
CritPtSource 29.1%10.0%Claude Opus 5 leads
MRCR 1MSource 83.3%Not comparable
CorpusQA 1MSource 56.5%Not comparable
KnowledgeClaude Opus 5 wins
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
HLESource 64.7%34.5%Claude Opus 5 leads
HLE w/o toolsSource 56.3%Not comparable
HealthBench (raw)Source 67.1%Not comparable
HealthBench (length-adjusted)Source 57.8%Not comparable
HealthBench ProfessionalSource 59.8%Not comparable
HealthBench Professional (raw)Source 73.4%Not comparable
BioMysteryBench (human-solvable)Source 90.1%Not comparable
BioMysteryBench (human-difficult)Source 49.4%Not comparable
SpatialBench VerifiedSource 72.5%Not comparable
SingleCellBenchSource 60.6%Not comparable
ProteinGym HardSource 47.7%Not comparable
Protein DesignSource 42.5%Not comparable
Organic chemistry V2Source 61.6%Not comparable
Protocols (troubleshooting)Source 61.1%Not comparable
Protocols (understanding)Source 78.4%Not comparable
Artificial Analysis Intelligence IndexSource 60.7%43.1%Claude Opus 5 leads
AA-GPQA DiamondSource 93.2%90.5%Claude Opus 5 leads
AA-HLESource 52.6%33.5%Claude Opus 5 leads
AA-Omniscience IndexSource 31.3%-9.7%Claude Opus 5 leads
AA-Omniscience AccuracySource 54.2%41.8%Claude Opus 5 leads
AA-Omniscience Hallucination RateSource 50.1%88.6%Claude Opus 5 leads
MMLU-ProSource 87.1%Not comparable
SimpleQASource 46.2%Not comparable
Chinese-SimpleQASource 77.7%Not comparable
GPQASource 89.1%Not comparable
GPQA-DSource 89.1%Not comparable
Math
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
IMO 2026Source 42/42Not comparable
RiemannBench (no tools)Source 60.0%Not comparable
RiemannBench (tools)Source 79.0%Not comparable
ArXivMath Jun. 2026 (no tools)Source 90.8%Not comparable
ArXivMath Jun. 2026 (tools)Source 91.3%Not comparable
HMMT Feb 2026Source 94.0%Not comparable
IMOAnswerBenchSource 88.0%Not comparable
ApexSource 27.4%Not comparable
Apex ShortlistSource 85.5%Not comparable
Multilingual
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
GMMLUSource 92.5%Not comparable
MILUSource 92.1%Not comparable
INCLUDESource 89.8%Not comparable
Multimodal
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
Chartography (no tools)Source 29.6%Not comparable
Chartography (tools)Source 83.0%Not comparable
BenchCAD Vision2Code (no tools)Source 0.366Not comparable
BenchCAD Vision2Code (tools)Source 0.821Not comparable
GDP.pdf (no tools)Source 83.4%Not comparable
GDP.pdf (tools)Source 85.5%Not comparable
OfficeQASource 78.1%Not comparable
OfficeQA ProSource 66.9%Not comparable
AA-MMMU-ProSource 84.7%Not comparable
Design Arena WebsiteSource 1264Not comparable
Inst. Following
BenchmarkClaude Opus 5DeepSeek V4 Pro (High)Result
AA-IFBenchSource 71.3%Not comparable
Frequently Asked Questions (4)

Which is better, Claude Opus 5 or DeepSeek V4 Pro (High)?

Claude Opus 5 is ahead on BenchLM's BenchAlign leaderboard, 85.88 to 55.45. The biggest single separator in this matchup is HLE, where the scores are 64.7% and 34.5%.

Which is better for knowledge tasks, Claude Opus 5 or DeepSeek V4 Pro (High)?

Claude Opus 5 has the edge for knowledge tasks in this comparison, averaging 64.7 versus 57. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 5 or DeepSeek V4 Pro (High)?

Claude Opus 5 has the edge for coding in this comparison, averaging 89.5 versus 69.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 5 or DeepSeek V4 Pro (High)?

Claude Opus 5 has the edge for agentic tasks in this comparison, averaging 90.8 versus 70.6. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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Last updated: July 24, 2026