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Claude Opus 4.7 vs DeepSeek V4.1 Flash

Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.7 Replace DeepSeek V4.1 Flash
Claude Opus 4.7Anthropic
Coding
51.1
Overall
40.7
Output $/M
$25.00
51
DeepSeek V4.1 FlashDeepSeek
Coding
77.2
Overall
24.7
Output $/M
$0.525
19
vs boards won of 71 shared, 1 tied

Decision reading

Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 51.1 for Claude Opus 4.7.

Pick Claude Opus 4.7 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Opus 4.7Anthropic51.1/1001 independent benchmark$2.95 per solved taskModel BDeepSeek V4.1 FlashDeepSeek77.2/1002 independent benchmarksNo cost per solved task
Shared results
71
Claude Opus 4.7 only
30
DeepSeek V4.1 Flash only
30
Like-for-like categories
7 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 4.7 51.1 from 1 benchmark, DeepSeek V4.1 Flash 77.2 from 2 benchmarks.
Widest category
Intelligence, 8.5 points apart on average over 2 shared benchmarks.
Widest single gap
AA Intelligence Index: Claude Opus 4.7 40.7 against DeepSeek V4.1 Flash 24.7, 16.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against DeepSeek V4.1 Flash $0.525 per million output tokens, 47.6x apart.
Context window
Claude Opus 4.7 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 4.7BarsDeepSeek V4.1 FlashTies
Coding29
Intelligence20
Agentic work23
Reasoning83
Math411 tie
Knowledge70
General263
All shared boards51191 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index29
Coding benchmarks for Claude Opus 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek V4.1 FlashLeader
LiveBench codingNot measured90.2%Only DeepSeek V4.1 Flash measured
LMArena WebDev15581618DeepSeek V4.1 Flash
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 4 (Vals AI)Not measured19.7%Only DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)71.0%84.7%DeepSeek V4.1 Flash
Code migration (Vals AI)43.9%45.6%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.0%0.5%DeepSeek V4.1 Flash
IOI (Vals AI)Not measured40.3%Only DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)68.5%74.5%DeepSeek V4.1 Flash
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)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%43.9%DeepSeek V4.1 Flash
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured1092.3Only DeepSeek V4.1 Flash measured
LMArena Text: coding15191502Claude Opus 4.7
LMArena Text: software and IT15161496Claude Opus 4.7
LMArena WebDev: React15601628DeepSeek V4.1 Flash
LMArena WebDev: HTML15541612DeepSeek V4.1 Flash
LMArena WebDev: from an image15771606DeepSeek V4.1 Flash
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek V4.1 FlashLeader
AA Intelligence Index40.724.7Claude Opus 4.7
Epoch Capabilities Index156.8155.9Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index23
Agentic work benchmarks for Claude Opus 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek V4.1 FlashLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 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)51.5%53.5%DeepSeek V4.1 Flash
Tax Agent Bench (Vals AI)23.7%26.6%DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)38.5%41.4%DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)63.7%57.2%Claude Opus 4.7
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 Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%39.5%Claude Opus 4.7
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index83
Reasoning benchmarks for Claude Opus 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek V4.1 FlashLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 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)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%39.2%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%89.8%Claude Opus 4.7
ARC-AGI93.5%94.5%DeepSeek V4.1 Flash
ARC-AGI-275.8%72.9%Claude Opus 4.7
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%48.0%DeepSeek V4.1 Flash
Mystery game puzzles28.0%43.0%DeepSeek V4.1 Flash
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061483Claude Opus 4.7
LMArena Text: expert15211501Claude Opus 4.7
LMArena Text: hard prompts in English15081488Claude Opus 4.7
LMArena Vision: diagrams13361297Claude Opus 4.7
LMArena Vision: homework13371307Claude Opus 4.7
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index41
Math benchmarks for Claude Opus 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek V4.1 FlashLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%98.3%DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 370.2%67.4%Claude Opus 4.7
FrontierMath, tier 431.7%26.8%Claude Opus 4.7
ProofBench54.0%54.0%Tie
LMArena Text: math14981478Claude Opus 4.7
LMArena Text: mathematical work15091485Claude Opus 4.7
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 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek V4.1 FlashLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%83.3%Claude Opus 4.7
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%41.2%Claude Opus 4.7
SimpleQA Verified51.7%42.9%Claude Opus 4.7
LMArena Text: science15081469Claude Opus 4.7
LMArena Text: medicine and healthcare14951484Claude Opus 4.7
LMArena Text: legal and government15041443Claude Opus 4.7
LMArena Text: business and finance14901461Claude Opus 4.7
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek V4.1 FlashLeader
Design Arena: websitesNot measured1309Only DeepSeek V4.1 Flash measured
Design Arena: UI componentsNot measured1314Only DeepSeek V4.1 Flash measured
Design Arena: game devNot measured1331Only DeepSeek V4.1 Flash measured
Design Arena: data vizNot measured1290Only DeepSeek V4.1 Flash measured
Design Arena: 3DNot measured1356Only DeepSeek V4.1 Flash measured
Design Arena: all code categoriesNot measured1320Only DeepSeek V4.1 Flash measured
Design Arena: SVGNot measured1243Only DeepSeek V4.1 Flash measured
Design Arena: ASCII artNot measured1265Only DeepSeek V4.1 Flash measured
LiveBench designNot measured79.2%Only DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index263
General benchmarks for Claude Opus 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek 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)56.1%47.9%Claude Opus 4.7
MedScribe (Vals AI)83.0%85.5%DeepSeek V4.1 Flash
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%84.0%DeepSeek V4.1 Flash
DTBench94.7%89.9%Claude Opus 4.7
LMCA52.2%47.0%Claude Opus 4.7
Surface Evolver BenchNot measured46.3%Only DeepSeek V4.1 Flash measured
Furniture assembly33.3%34.2%DeepSeek V4.1 Flash
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901464Claude Opus 4.7
LMArena Text: instruction following14981473Claude Opus 4.7
LMArena Text: creative writing14861437Claude Opus 4.7
LMArena Vision13171278Claude Opus 4.7
LMArena Text: English14961473Claude Opus 4.7
LMArena Text: non-English14801449Claude Opus 4.7
LMArena Text: Chinese15311501Claude Opus 4.7
LMArena Text: German14951470Claude Opus 4.7
LMArena Text: Japanese14741432Claude Opus 4.7
LMArena Text: Korean14641436Claude Opus 4.7
LMArena Text: French15031465Claude Opus 4.7
LMArena Text: Spanish14941459Claude Opus 4.7
LMArena Text: Russian14941467Claude Opus 4.7
LMArena Text: Polish14891457Claude Opus 4.7
LMArena Text: multi-turn15051461Claude Opus 4.7
LMArena Text: longer queries15051473Claude Opus 4.7
LMArena Text: writing and language14921450Claude Opus 4.7
LMArena Text: entertainment and media14741445Claude Opus 4.7
LMArena Vision: English13221288Claude Opus 4.7
LMArena Vision: Chinese13711327Claude Opus 4.7
LMArena Vision: reading text13271282Claude Opus 4.7
LMArena Vision: humor13091260Claude Opus 4.7
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261275Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 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 4.7 and DeepSeek V4.1 Flash
BenchmarkClaude Opus 4.7DeepSeek 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 4.7$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 4.7$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 4.7$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 4.7 and DeepSeek V4.1 Flash
SpecificationAnthropic Claude Opus 4.7DeepSeek V4.1 Flash
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026September 10, 2026
Context window1M1.05M
Input $/Mtok$5.00$0.049
Output $/Mtok$25.00$0.525
Coding index51.177.2
Independent measurements behind it12
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 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 51.1 for Claude Opus 4.7. Pick Claude Opus 4.7 when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Opus 4.7 or DeepSeek V4.1 Flash?

Claude Opus 4.7 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 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or DeepSeek V4.1 Flash?

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

How many benchmarks is the Claude Opus 4.7 vs DeepSeek V4.1 Flash comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 1 independent benchmark 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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