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Model comparison

Claude Opus 4.7 (Adaptive) vs DeepSeek V4 Flash (Max)

Data verified

Head-to-head evidence from 26 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.27/100
No comparison
N/A
3 category wins0 category wins

Public leaderboard positions: Claude Opus 4.7 (Adaptive) #27 (Estimated); DeepSeek V4 Flash (Max) unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 (Adaptive) and DeepSeek V4 Flash (Max) share 26 comparable benchmark results. 3 of 8 categories are comparable. 12 results are unique to Claude Opus 4.7 (Adaptive); 19 to DeepSeek V4 Flash (Max).

Updated July 23, 2026
Shared results
26
Claude Opus 4.7 (Adaptive) only
12
DeepSeek V4 Flash (Max) only
19
Comparable categories
3 / 8

Treat this as a split decision. Claude Opus 4.7 (Adaptive) makes more sense if agentic is the priority; DeepSeek V4 Flash (Max) is the better fit if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 26 shared benchmark results across 6 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 4.7 (Adaptive) and DeepSeek V4 Flash (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 Opus 4.7 (Adaptive) is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). That is roughly 89.3x 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 4.7 (Adaptive) and DeepSeek V4 Flash (Max)
CategoryClaude Opus 4.7 (Adaptive)ΔDeepSeek V4 Flash (Max)
AgenticClaude Opus 4.7 (Adaptive)75.1Margin← 11.3DeepSeek V4 Flash (Max)63.8
CodingClaude Opus 4.7 (Adaptive)78.6Margin← 9.8DeepSeek V4 Flash (Max)68.8
KnowledgeClaude Opus 4.7 (Adaptive)60.0Margin← 4.7DeepSeek V4 Flash (Max)55.3
ReasoningClaude Opus 4.7 (Adaptive)75.8MarginNo overlapDeepSeek V4 Flash (Max)Not measured
MathClaude Opus 4.7 (Adaptive)Not measuredMarginNo overlapDeepSeek V4 Flash (Max)94.8
MultimodalClaude Opus 4.7 (Adaptive)65.1MarginNo overlapDeepSeek V4 Flash (Max)Not measured

Decisive benchmark drivers

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

More
A · Claude Opus 4.7 (Adaptive)B · DeepSeek V4 Flash (Max)

  1. HLE

    Knowledge
    Source ↗
    A 54.7%B 34.8%
    Winner: Claude Opus 4.7 (Adaptive)Δ 19.9
    HLE: Claude Opus 4.7 (Adaptive) scored 54.7%; DeepSeek V4 Flash (Max) scored 34.8%. Claude Opus 4.7 (Adaptive) wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 69.4%B 56.9%
    Winner: Claude Opus 4.7 (Adaptive)Δ 12.5
    Terminal-Bench 2.0: Claude Opus 4.7 (Adaptive) scored 69.4%; DeepSeek V4 Flash (Max) scored 56.9%. Claude Opus 4.7 (Adaptive) wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 64.3%B 52.6%
    Winner: Claude Opus 4.7 (Adaptive)Δ 11.7
    SWE-bench Pro: Claude Opus 4.7 (Adaptive) scored 64.3%; DeepSeek V4 Flash (Max) scored 52.6%. Claude Opus 4.7 (Adaptive) wins this benchmark.

  4. SWE-bench Verified

    Coding
    Source ↗
    A 87.6%B 79%
    Winner: Claude Opus 4.7 (Adaptive)Δ 8.6
    SWE-bench Verified: Claude Opus 4.7 (Adaptive) scored 87.6%; DeepSeek V4 Flash (Max) scored 79%. Claude Opus 4.7 (Adaptive) wins this benchmark.

  5. GPQA

    Knowledge
    Source ↗
    A 94.2%B 88.1%
    Winner: Claude Opus 4.7 (Adaptive)Δ 6.1
    GPQA: Claude Opus 4.7 (Adaptive) scored 94.2%; DeepSeek V4 Flash (Max) scored 88.1%. Claude Opus 4.7 (Adaptive) wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.7 (Adaptive)$5 input / $25 outputDeepSeek V4 Flash (Max)$0.14 input / $0.28 outputDeepSeek V4 Flash (Max) has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.7 (Adaptive)Not availableDeepSeek V4 Flash (Max)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7 (Adaptive)Not availableDeepSeek V4 Flash (Max)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.7 (Adaptive)1MDeepSeek V4 Flash (Max)1MListed context windows are equal.

Benchmark Deep Dive

AgenticClaude Opus 4.7 (Adaptive) wins
BenchmarkClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Result
Terminal-Bench 2.0Source 69.4%56.9%Claude Opus 4.7 (Adaptive) leads
BrowseCompSource 79.3%73.2%Claude Opus 4.7 (Adaptive) leads
MCP AtlasSource 77.3%69%Claude Opus 4.7 (Adaptive) leads
OSWorld-VerifiedSource 78%—Not comparable
CyberGymSource 73.1%—Not comparable
AA Agentic IndexSource 44.4%31.1%Claude Opus 4.7 (Adaptive) leads
τ²-bench resultsSource 88.6%95%DeepSeek V4 Flash (Max) leads
GDPval-AASource 49.8%34.4%Claude Opus 4.7 (Adaptive) leads
GDPval-AASource 14951189Claude Opus 4.7 (Adaptive) leads
OSWorld 2.0Source 18.2%—Not comparable
JobBenchSource 45.9%—Not comparable
AA ITBenchSource 46.7%31.5%Claude Opus 4.7 (Adaptive) leads
HLE w/ toolsSource —45.1%Not comparable
ToolathlonSource —47.8%Not comparable
AA BriefcaseSource —831Not comparable
AA EnterpriseOps-GymSource —39.6%Not comparable
AA Harvey LABSource —81.3%Not comparable
AA Tau3 BankingSource —22.9%Not comparable
terminalBenchHardSource —35.6%Not comparable
CodingClaude Opus 4.7 (Adaptive) wins
BenchmarkClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Result
SWE-bench VerifiedSource 87.6%79%Claude Opus 4.7 (Adaptive) leads
SWE-bench ProSource 64.3%52.6%Claude Opus 4.7 (Adaptive) leads
Terminal-Bench 2.0Source 69.4%56.9%Claude Opus 4.7 (Adaptive) leads
AA Coding IndexSource 73.6%56.2%Claude Opus 4.7 (Adaptive) leads
AA-SciCodeSource 54.5%44.9%Claude Opus 4.7 (Adaptive) leads
CodeforcesSource —3052.0Not comparable
SWE MultilingualSource —73.3%Not comparable
Reasoning
BenchmarkClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Result
MRCR v2 128K-256KSource 59.2%—Not comparable
ARC-AGI-2Source 75.8%—Not comparable
AA-LCRSource 70.3%63.0%Claude Opus 4.7 (Adaptive) leads
CritPtSource 12.0%7.1%Claude Opus 4.7 (Adaptive) leads
MRCR 1MSource —78.7%Not comparable
CorpusQA 1MSource —60.5%Not comparable
KnowledgeClaude Opus 4.7 (Adaptive) wins
BenchmarkClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Result
GPQASource 94.2%88.1%Claude Opus 4.7 (Adaptive) leads
GPQA-DSource 94.2%88.1%Claude Opus 4.7 (Adaptive) leads
HLESource 54.7%34.8%Claude Opus 4.7 (Adaptive) leads
HLE w/o toolsSource 46.9%—Not comparable
Artificial Analysis Intelligence IndexSource 53.5%40.3%Claude Opus 4.7 (Adaptive) leads
AA-GPQA DiamondSource 91.4%89.4%Claude Opus 4.7 (Adaptive) leads
AA-HLESource 39.6%32.1%Claude Opus 4.7 (Adaptive) leads
AA-Omniscience IndexSource 26.2%-22.9%Claude Opus 4.7 (Adaptive) leads
AA-Omniscience AccuracySource 45.8%37.2%Claude Opus 4.7 (Adaptive) leads
AA-Omniscience Hallucination RateSource 36.2%95.8%Claude Opus 4.7 (Adaptive) leads
MMLU-ProSource —86.2%Not comparable
SimpleQASource —34.1%Not comparable
Chinese-SimpleQASource —78.9%Not comparable
AA Openness IndexSource —50.0%Not comparable
Math
BenchmarkClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Result
FrontierMath (legacy)Source 43.8%—Not comparable
HMMT Feb 2026Source —94.8%Not comparable
IMOAnswerBenchSource —88.4%Not comparable
ApexSource —33.0%Not comparable
Apex ShortlistSource —85.7%Not comparable
Multimodal
BenchmarkClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Result
OfficeQA ProSource 43.6%—Not comparable
CharXivSource 91%—Not comparable
CharXiv w/o toolsSource 82.1%—Not comparable
AA-MMMU-ProSource 78.8%—Not comparable
Design Arena WebsiteSource 13251238Claude Opus 4.7 (Adaptive) leads
Inst. Following
BenchmarkClaude Opus 4.7 (Adaptive)DeepSeek V4 Flash (Max)Result
AA-IFBenchSource 58.6%79.2%DeepSeek V4 Flash (Max) leads
Frequently Asked Questions (4)

Which is better, Claude Opus 4.7 (Adaptive) or DeepSeek V4 Flash (Max)?

Claude Opus 4.7 (Adaptive) and DeepSeek V4 Flash (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 Opus 4.7 (Adaptive) or DeepSeek V4 Flash (Max)?

Claude Opus 4.7 (Adaptive) has the edge for knowledge tasks in this comparison, averaging 60 versus 55.3. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.7 (Adaptive) or DeepSeek V4 Flash (Max)?

Claude Opus 4.7 (Adaptive) has the edge for coding in this comparison, averaging 78.6 versus 68.8. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.7 (Adaptive) or DeepSeek V4 Flash (Max)?

Claude Opus 4.7 (Adaptive) has the edge for agentic tasks in this comparison, averaging 75.1 versus 63.8. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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