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Claude Opus 4.6 vs DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 leads Claude Opus 4.6 on coding, 70.3 to 57.2 on the Vibe Coding Index, and DeepSeek V4.1 Flash 1017 costs 41.7x less per output token ($0.60 vs $25.00 per million). Updated October 22, 2026; 21 benchmarks have a result for both.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
2
DeepSeek V4.1 Flash 1017DeepSeek
Coding
70.3
Overall
67.6
Output $/M
$0.60
19
vs boards won of 21 shared

Claude Opus 4.6 or DeepSeek V4.1 Flash 1017: which to pick

Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 57.2 for Claude Opus 4.6.

Pick Claude Opus 4.6 for work measured by SimpleQA Verified or Design Arena: ASCII art, where it leads.

Shared results
21
Claude Opus 4.6 only
89
DeepSeek V4.1 Flash 1017 only
18
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 57.2 from 4 benchmarks, DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks.
Widest category
Coding, 16.0 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.6 57.6% against DeepSeek V4.1 Flash 1017 87.7%, 30.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against DeepSeek V4.1 Flash 1017 $0.60 per million output tokens, 41.7x apart.
Context window
Claude Opus 4.6 takes 1M tokens, DeepSeek V4.1 Flash 1017 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 Flash 1017Ties
Coding04
Intelligence01
Reasoning04
Math03
Knowledge10
Web design16
General01
All shared boards219
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LiveBench codingNot measured96.0%Only DeepSeek V4.1 Flash 1017 measured
LMArena WebDev15471664DeepSeek V4.1 Flash 1017
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 measured31.8%Only DeepSeek V4.1 Flash 1017 measured
Vibe Code Bench (Vals AI)57.6%87.7%DeepSeek V4.1 Flash 1017
Code migration (Vals AI)Not measured44.2%Only DeepSeek V4.1 Flash 1017 measured
SciCodeNot measured55.9%Only DeepSeek V4.1 Flash 1017 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%Not measuredOnly Claude Opus 4.6 measured
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 measured1622.0Only DeepSeek V4.1 Flash 1017 measured
LMArena Text: coding1534Not measuredOnly Claude Opus 4.6 measured
LMArena Text: software and IT1527Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: React15391667DeepSeek V4.1 Flash 1017
LMArena WebDev: HTML15591687DeepSeek V4.1 Flash 1017
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
AA Intelligence Index31.939.5DeepSeek V4.1 Flash 1017
Epoch Capabilities Index155.7Not measuredOnly Claude Opus 4.6 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
Agentic work benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
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 apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
Design Arena: spreadsheetsNot measured1245Only DeepSeek V4.1 Flash 1017 measured
LiveBench researchNot measured79.5%Only DeepSeek V4.1 Flash 1017 measured
LiveBench browserNot measured76.0%Only DeepSeek V4.1 Flash 1017 measured
LiveBench long agenticNot measured50.9%Only DeepSeek V4.1 Flash 1017 measured
Finance Agent (Vals AI)Not measured57.0%Only DeepSeek V4.1 Flash 1017 measured
Tax Agent Bench (Vals AI)Not measured44.4%Only DeepSeek V4.1 Flash 1017 measured
Legal Research Bench (Vals AI)Not measured45.2%Only DeepSeek V4.1 Flash 1017 measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured14.2%Only DeepSeek V4.1 Flash 1017 measured
Excel Modeling Benchmark (Vals AI)Not measured61.8%Only DeepSeek V4.1 Flash 1017 measured
τ²-Bench Telecom92.1%Not measuredOnly Claude Opus 4.6 measured
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
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 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
LiveBench reasoningNot measured89.1%Only DeepSeek V4.1 Flash 1017 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%43.3%DeepSeek V4.1 Flash 1017
GPQA Diamond (Epoch AI run)90.5%93.2%DeepSeek V4.1 Flash 1017
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%46.0%DeepSeek V4.1 Flash 1017
Mystery game puzzles25.0%49.0%DeepSeek V4.1 Flash 1017
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts1525Not measuredOnly Claude Opus 4.6 measured
LMArena Text: expert1544Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts in English1530Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%99.4%DeepSeek V4.1 Flash 1017
FrontierMath, tiers 1 to 366.0%71.2%DeepSeek V4.1 Flash 1017
FrontierMath, tier 426.8%46.3%DeepSeek V4.1 Flash 1017
ProofBench50.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math1518Not measuredOnly Claude Opus 4.6 measured
LMArena Text: mathematical work1525Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
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%Not measuredOnly Claude Opus 4.6 measured
SimpleQA Verified47.0%42.5%Claude Opus 4.6
LMArena Text: science1519Not measuredOnly Claude Opus 4.6 measured
LMArena Text: medicine and healthcare1504Not measuredOnly Claude Opus 4.6 measured
LMArena Text: legal and government1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: business and finance1497Not measuredOnly Claude Opus 4.6 measured
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
Design Arena: websites12911311DeepSeek V4.1 Flash 1017
Design Arena: UI components12811303DeepSeek V4.1 Flash 1017
Design Arena: game dev12771357DeepSeek V4.1 Flash 1017
Design Arena: data viz12791330DeepSeek V4.1 Flash 1017
Design Arena: 3D12731358DeepSeek V4.1 Flash 1017
Design Arena: all code categories12881332DeepSeek V4.1 Flash 1017
Design Arena: SVG1227Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art12551242Claude Opus 4.6
LiveBench designNot measured83.4%Only DeepSeek V4.1 Flash 1017 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Claude Opus 4.6 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
Vals IndexNot measured61.3%Only DeepSeek V4.1 Flash 1017 measured
LiveBench data analysisNot measured79.5%Only DeepSeek V4.1 Flash 1017 measured
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
IFBench53.1%Not measuredOnly Claude Opus 4.6 measured
Long context reasoning (AA-LCR)78.0%82.7%DeepSeek V4.1 Flash 1017
DTBench91.2%Not measuredOnly Claude Opus 4.6 measured
LMCA55.8%Not measuredOnly Claude Opus 4.6 measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text1501Not measuredOnly Claude Opus 4.6 measured
LMArena Text: instruction following1521Not measuredOnly Claude Opus 4.6 measured
LMArena Text: creative writing1505Not measuredOnly Claude Opus 4.6 measured
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English1511Not measuredOnly Claude Opus 4.6 measured
LMArena Text: non-English1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Chinese1551Not measuredOnly Claude Opus 4.6 measured
LMArena Text: German1500Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Japanese1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.6 measured
LMArena Text: French1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Spanish1510Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Russian1497Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Polish1499Not measuredOnly Claude Opus 4.6 measured
LMArena Text: multi-turn1511Not measuredOnly Claude Opus 4.6 measured
LMArena Text: longer queries1518Not measuredOnly Claude Opus 4.6 measured
LMArena Text: writing and language1502Not measuredOnly Claude Opus 4.6 measured
LMArena Text: entertainment and media1492Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 10 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 1017
BenchmarkClaude Opus 4.6DeepSeek V4.1 Flash 1017Leader
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 1017$0.0004Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
DeepSeek V4.1 Flash 1017$0.0093Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
DeepSeek V4.1 Flash 1017$0.036Fits in one request

DeepSeek V4.1 Flash 1017 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 1017
SpecificationAnthropic Claude Opus 4.6DeepSeek V4.1 Flash 1017
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026October 17, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.15
Output $/Mtok$25.00$0.60
Coding index57.270.3
Independent measurements behind it44
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than DeepSeek V4.1 Flash 1017 for coding?

Pick DeepSeek V4.1 Flash 1017 for coding: it scores 70.3 on the Vibe Coding Index against 57.2 for Claude Opus 4.6. Pick Claude Opus 4.6 for work measured by SimpleQA Verified or Design Arena: ASCII art, where it leads.

Which is cheaper, Claude Opus 4.6 or DeepSeek V4.1 Flash 1017?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; DeepSeek V4.1 Flash 1017 costs $0.15 and $0.60. 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 1017?

DeepSeek V4.1 Flash 1017, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.6 vs DeepSeek V4.1 Flash 1017 comparison based on?

21 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and DeepSeek V4.1 Flash 1017's on 4. 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-1017">LLMBenchmark.ai, Claude Opus 4.6 vs DeepSeek V4.1 Flash 1017</a></p>