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Claude Sonnet 4.5 vs DeepSeek V4.1 Flash 1017

Updated October 21, 2026. 12 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 4.5Anthropic
Coding
59.1
Overall
20.7
Output $/M
$15.00
0
DeepSeek V4.1 Flash 1017DeepSeek
Coding
83.3
Overall
39.5
Output $/M
$0.60
12
vs boards won of 12 shared

Decision reading

Pick DeepSeek V4.1 Flash 1017 for coding: it scores 83.3 on the Vibe Coding Index against 59.1 for Claude Sonnet 4.5.

Claude Sonnet 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
12
Claude Sonnet 4.5 only
80
DeepSeek V4.1 Flash 1017 only
20
Like-for-like categories
3 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 Sonnet 4.5 59.1 from 2 benchmarks, DeepSeek V4.1 Flash 1017 83.3 from 2 benchmarks.
Widest category
Coding, 43.2 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 4.5 22.6% against DeepSeek V4.1 Flash 1017 87.7%, 65.1 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against DeepSeek V4.1 Flash 1017 $0.60 per million output tokens, 25.0x apart.
Context window
Claude Sonnet 4.5 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 Sonnet 4.5BarsDeepSeek V4.1 Flash 1017Ties
Coding04
Intelligence01
Web design07
All shared boards012
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek V4.1 Flash 1017Leader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench codingNot measured96.0%Only DeepSeek V4.1 Flash 1017 measured
LMArena WebDev13941664DeepSeek V4.1 Flash 1017
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured31.8%Only DeepSeek V4.1 Flash 1017 measured
Vibe Code Bench (Vals AI)22.6%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-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
ALE-BenchNot measured1622.0Only DeepSeek V4.1 Flash 1017 measured
LMArena Text: coding1488Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: software and IT1473Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: React13861667DeepSeek V4.1 Flash 1017
LMArena WebDev: HTML13991687DeepSeek V4.1 Flash 1017
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek V4.1 Flash 1017Leader
AA Intelligence Index20.739.5DeepSeek V4.1 Flash 1017
Epoch Capabilities Index146.7Not measuredOnly Claude Sonnet 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek V4.1 Flash 1017Leader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1060Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: spreadsheetsNot measured1238Only 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
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 20 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Reasoning benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek V4.1 Flash 1017Leader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench reasoningNot measured89.1%Only DeepSeek V4.1 Flash 1017 measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured43.3%Only DeepSeek V4.1 Flash 1017 measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts1462Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: expert1483Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts in English1471Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek V4.1 Flash 1017Leader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math1449Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: mathematical work1462Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek V4.1 Flash 1017Leader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science1448Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: medicine and healthcare1444Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: legal and government1451Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: business and finance1440Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek V4.1 Flash 1017Leader
Design Arena: websites11901312DeepSeek V4.1 Flash 1017
Design Arena: UI components11731305DeepSeek V4.1 Flash 1017
Design Arena: game dev11661365DeepSeek V4.1 Flash 1017
Design Arena: data viz11671330DeepSeek V4.1 Flash 1017
Design Arena: 3D11581368DeepSeek V4.1 Flash 1017
Design Arena: all code categories11831335DeepSeek V4.1 Flash 1017
Design Arena: SVG1114Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: ASCII art12041244DeepSeek V4.1 Flash 1017
LiveBench designNot measured83.4%Only DeepSeek V4.1 Flash 1017 measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
General benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek 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)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
Long context reasoning (AA-LCR)Not measured82.7%Only DeepSeek V4.1 Flash 1017 measured
DTBench83.2%Not measuredOnly Claude Sonnet 4.5 measured
LMCA38.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text1438Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: instruction following1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: creative writing1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: English1450Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: non-English1425Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Chinese1460Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: German1427Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Japanese1390Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Korean1402Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: French1459Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Spanish1458Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Russian1437Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Polish1423Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: multi-turn1465Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: longer queries1475Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: writing and language1442Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: entertainment and media1428Not measuredOnly Claude Sonnet 4.5 measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and DeepSeek V4.1 Flash 1017
BenchmarkClaude Sonnet 4.5DeepSeek 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 Sonnet 4.5$0.011Fits 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 Sonnet 4.5$0.195Fits 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 Sonnet 4.5$0.750Fits 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 Sonnet 4.5 and DeepSeek V4.1 Flash 1017
SpecificationAnthropic Claude Sonnet 4.5DeepSeek V4.1 Flash 1017
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025October 17, 2026
Context window1M1.05M
Input $/Mtok$3.00$0.15
Output $/Mtok$15.00$0.60
Coding index59.183.3
Independent measurements behind it22
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than DeepSeek V4.1 Flash 1017 for coding?

Pick DeepSeek V4.1 Flash 1017 for coding: it scores 83.3 on the Vibe Coding Index against 59.1 for Claude Sonnet 4.5. Claude Sonnet 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Claude Sonnet 4.5 or DeepSeek V4.1 Flash 1017?

Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; DeepSeek V4.1 Flash 1017 costs $0.15 and $0.60. Cost per solved task is known for Claude Sonnet 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or DeepSeek V4.1 Flash 1017?

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

How many benchmarks is the Claude Sonnet 4.5 vs DeepSeek V4.1 Flash 1017 comparison based on?

12 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.5's coding index rests on 2 independent benchmarks and DeepSeek V4.1 Flash 1017's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/claude-sonnet-4-5-vs-deepseek-v4-1-flash-1017" title="Claude Sonnet 4.5 vs DeepSeek V4.1 Flash 1017, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-4-5-vs-deepseek-v4-1-flash-1017">LLMBenchmark.ai, Claude Sonnet 4.5 vs DeepSeek V4.1 Flash 1017</a></p>