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Claude Opus 4.6 vs DeepSeek V4.1 Flash

Updated October 21, 2026. 72 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.6Anthropic
Coding
66.9
Overall
31.9
Output $/M
$25.00
47
DeepSeek V4.1 FlashDeepSeek
Coding
77.2
Overall
24.7
Output $/M
$0.525
24
vs boards won of 72 shared, 1 tied

Decision reading

Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 66.9 for Claude Opus 4.6.

Pick Claude Opus 4.6 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
72
Claude Opus 4.6 only
36
DeepSeek V4.1 Flash only
29
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.6 66.9 from 2 benchmarks, DeepSeek V4.1 Flash 77.2 from 2 benchmarks.
Widest category
Coding, 11.5 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.6 57.6% against DeepSeek V4.1 Flash 84.7%, 27.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against DeepSeek V4.1 Flash $0.525 per million output tokens, 47.6x apart.
Context window
Claude Opus 4.6 takes 1M tokens, DeepSeek V4.1 Flash 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.6BarsDeepSeek V4.1 FlashTies
Coding26
Intelligence11
Agentic work10
Reasoning74
Math231 tie
Knowledge70
Web design08
General272
All shared boards47241 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index26
Coding benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LiveBench codingNot measured90.2%Only DeepSeek V4.1 Flash measured
LMArena WebDev15471618DeepSeek V4.1 Flash
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Terminal-Bench 4 (Vals AI)Not measured19.7%Only DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)57.6%84.7%DeepSeek V4.1 Flash
Code migration (Vals AI)Not measured45.6%Only DeepSeek V4.1 Flash measured
ProgramBench (Vals AI)Not measured0.5%Only DeepSeek V4.1 Flash measured
IOI (Vals AI)Not measured40.3%Only DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured74.5%Only DeepSeek V4.1 Flash measured
SWE-bench Multimodal (Vals AI)Not measured46.5%Only DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)Not measured16.4%Only DeepSeek V4.1 Flash measured
SkillsBench (Vals AI)Not measured69.8%Only DeepSeek V4.1 Flash measured
CyberBench (Vals AI)Not measured73.7%Only DeepSeek V4.1 Flash measured
SciCodeNot measured51.9%Only DeepSeek V4.1 Flash measured
Terminal-Bench Hard (Artificial Analysis run)48.5%Not measuredOnly Claude Opus 4.6 measured
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%43.9%DeepSeek V4.1 Flash
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured1092.3Only DeepSeek V4.1 Flash measured
LMArena Text: coding15341502Claude Opus 4.6
LMArena Text: software and IT15271496Claude Opus 4.6
LMArena WebDev: React15391628DeepSeek V4.1 Flash
LMArena WebDev: HTML15591612DeepSeek V4.1 Flash
LMArena WebDev: from an image15431606DeepSeek V4.1 Flash
Neither model has a result on the other 9 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
AA Intelligence Index31.924.7Claude Opus 4.6
Epoch Capabilities Index155.7155.9DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1204Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1214Not measuredOnly Claude Opus 4.6 measured
LiveBench researchNot measured86.8%Only DeepSeek V4.1 Flash measured
LiveBench browserNot measured84.0%Only DeepSeek V4.1 Flash measured
LiveBench long agenticNot measured40.1%Only DeepSeek V4.1 Flash measured
SREBench (Vals AI)Not measured0.8%Only DeepSeek V4.1 Flash measured
Finance Agent (Vals AI)Not measured53.5%Only DeepSeek V4.1 Flash measured
Tax Agent Bench (Vals AI)Not measured26.6%Only DeepSeek V4.1 Flash measured
Legal Research Bench (Vals AI)Not measured41.4%Only DeepSeek V4.1 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured57.2%Only DeepSeek V4.1 Flash measured
BioMysteryBench (Vals AI)Not measured67.8%Only DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)Not measured0.0%Only DeepSeek V4.1 Flash measured
Vals Science IndexNot measured29.6%Only DeepSeek V4.1 Flash measured
τ²-Bench Telecom92.1%Not measuredOnly Claude Opus 4.6 measured
APEX-Agents46.3%39.5%Claude Opus 4.6
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index74
Reasoning benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
LiveBench reasoningNot measured86.7%Only DeepSeek V4.1 Flash measured
MysteryMechanism (Vals AI)Not measured21.2%Only DeepSeek V4.1 Flash measured
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Claude Opus 4.6 measured
Humanity's Last Exam (Artificial Analysis run)39.9%39.2%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%89.8%Claude Opus 4.6
ARC-AGI94.0%94.5%DeepSeek V4.1 Flash
ARC-AGI-269.2%72.9%DeepSeek V4.1 Flash
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%48.0%DeepSeek V4.1 Flash
Mystery game puzzles25.0%43.0%DeepSeek V4.1 Flash
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251483Claude Opus 4.6
LMArena Text: expert15441501Claude Opus 4.6
LMArena Text: hard prompts in English15301488Claude Opus 4.6
LMArena Vision: diagrams13401297Claude Opus 4.6
LMArena Vision: homework13371307Claude Opus 4.6
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index23
Math benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%98.3%DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 366.0%67.4%DeepSeek V4.1 Flash
FrontierMath, tier 426.8%26.8%Tie
ProofBench50.0%54.0%DeepSeek V4.1 Flash
LMArena Text: math15181478Claude Opus 4.6
LMArena Text: mathematical work15251485Claude Opus 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%83.3%Claude Opus 4.6
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Opus 4.6 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Opus 4.6 measured
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%41.2%Claude Opus 4.6
SimpleQA Verified47.0%42.9%Claude Opus 4.6
LMArena Text: science15191469Claude Opus 4.6
LMArena Text: medicine and healthcare15041484Claude Opus 4.6
LMArena Text: legal and government15121443Claude Opus 4.6
LMArena Text: business and finance14971461Claude Opus 4.6
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
Design Arena: websites12911309DeepSeek V4.1 Flash
Design Arena: UI components12841314DeepSeek V4.1 Flash
Design Arena: game dev12781331DeepSeek V4.1 Flash
Design Arena: data viz12791290DeepSeek V4.1 Flash
Design Arena: 3D12741356DeepSeek V4.1 Flash
Design Arena: all code categories12891320DeepSeek V4.1 Flash
Design Arena: SVG12271243DeepSeek V4.1 Flash
Design Arena: ASCII art12541265DeepSeek V4.1 Flash
LiveBench designNot measured79.2%Only DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index272
General benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
LiveBench data analysisNot measured79.3%Only DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)Not measured64.3%Only DeepSeek V4.1 Flash measured
SAGE (Vals AI)51.6%47.9%Claude Opus 4.6
MedScribe (Vals AI)86.7%85.5%Claude Opus 4.6
IFBench53.1%Not measuredOnly Claude Opus 4.6 measured
Long context reasoning (AA-LCR)78.0%84.0%DeepSeek V4.1 Flash
DTBench91.2%89.9%Claude Opus 4.6
LMCA55.8%47.0%Claude Opus 4.6
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Surface Evolver BenchNot measured46.3%Only DeepSeek V4.1 Flash measured
Furniture assembly28.3%34.2%DeepSeek V4.1 Flash
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011464Claude Opus 4.6
LMArena Text: instruction following15211473Claude Opus 4.6
LMArena Text: creative writing15051437Claude Opus 4.6
LMArena Vision13161278Claude Opus 4.6
LMArena Text: English15111473Claude Opus 4.6
LMArena Text: non-English14881449Claude Opus 4.6
LMArena Text: Chinese15511501Claude Opus 4.6
LMArena Text: German15001470Claude Opus 4.6
LMArena Text: Japanese14881432Claude Opus 4.6
LMArena Text: Korean14641436Claude Opus 4.6
LMArena Text: French15121465Claude Opus 4.6
LMArena Text: Spanish15101459Claude Opus 4.6
LMArena Text: Russian14971467Claude Opus 4.6
LMArena Text: Polish14991457Claude Opus 4.6
LMArena Text: multi-turn15111461Claude Opus 4.6
LMArena Text: longer queries15181473Claude Opus 4.6
LMArena Text: writing and language15021450Claude Opus 4.6
LMArena Text: entertainment and media14921445Claude Opus 4.6
LMArena Vision: English13241288Claude Opus 4.6
LMArena Vision: Chinese13701327Claude Opus 4.6
LMArena Vision: reading text13261282Claude Opus 4.6
LMArena Vision: humor13141260Claude Opus 4.6
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing13311275Claude Opus 4.6
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.6DeepSeek V4.1 FlashLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.6$0.018Fits in one request
DeepSeek V4.1 Flash$0.0003Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
DeepSeek V4.1 Flash$0.0040Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
DeepSeek V4.1 Flash$0.015Fits in one request

DeepSeek V4.1 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.6 and DeepSeek V4.1 Flash
SpecificationAnthropic Claude Opus 4.6DeepSeek V4.1 Flash
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026September 10, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.049
Output $/Mtok$25.00$0.525
Coding index66.977.2
Independent measurements behind it22
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than DeepSeek V4.1 Flash for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 66.9 for Claude Opus 4.6. Pick Claude Opus 4.6 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Opus 4.6 or DeepSeek V4.1 Flash?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; DeepSeek V4.1 Flash costs $0.049 and $0.525. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.6 vs DeepSeek V4.1 Flash comparison based on?

72 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.6's coding index rests on 2 independent benchmarks and DeepSeek V4.1 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-6-vs-deepseek-v4-1-flash">LLMBenchmark.ai, Claude Opus 4.6 vs DeepSeek V4.1 Flash</a></p>