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Claude Sonnet 5.5 vs DeepSeek V4 Flash 0731

Claude Sonnet 5.5 leads DeepSeek V4 Flash 0731 on coding, 87.3 to 51.8 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 25.3x less per output token ($0.396 vs $10.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Claude Sonnet 5.5Anthropic
Coding
87.3
Overall
82.8
Output $/M
$10.00
37
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
55.2
Output $/M
$0.396
1
vs boards won of 38 shared

Claude Sonnet 5.5 or DeepSeek V4 Flash 0731: which to pick

Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 51.8 for DeepSeek V4 Flash 0731.

Pick DeepSeek V4 Flash 0731 for output tokens 25.3x cheaper ($0.396 vs $10.00 per million) and a larger context window (1.05M against 1M tokens).

Shared results
38
Claude Sonnet 5.5 only
58
DeepSeek V4 Flash 0731 only
17
Like-for-like categories
8 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 Sonnet 5.5 87.3 from 5 benchmarks, DeepSeek V4 Flash 0731 51.8 from 4 benchmarks.
Widest category
Math, 34.2 points apart on average over 4 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Claude Sonnet 5.5 64.1% against DeepSeek V4 Flash 0731 18.7%, 60.6 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5.5 $10.00 against DeepSeek V4 Flash 0731 $0.396 per million output tokens, 25.3x apart.
Context window
Claude Sonnet 5.5 takes 1M tokens, DeepSeek V4 Flash 0731 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 5.5BarsDeepSeek V4 Flash 0731Ties
Coding91
Intelligence20
Agentic work60
Reasoning40
Math40
Knowledge20
Web design60
General40
All shared boards371
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
Coding benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
LiveBench coding94.7%Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev1768Not measuredOnly Claude Sonnet 5.5 measured
AA Coding IndexNot measured69.1Only DeepSeek V4 Flash 0731 measured
LiveCodeBench (Vals AI)Not measured87.3%Only DeepSeek V4 Flash 0731 measured
SWE-bench Verified (Vals AI)Not measured88.8%Only DeepSeek V4 Flash 0731 measured
Terminal-Bench 4 (Vals AI)64.1%18.7%Claude Sonnet 5.5
Vibe Code Bench (Vals AI)92.4%74.7%Claude Sonnet 5.5
Code migration (Vals AI)69.8%38.6%Claude Sonnet 5.5
ProgramBench (Vals AI)6.5%0.0%Claude Sonnet 5.5
IOI (Vals AI)83.1%32.7%Claude Sonnet 5.5
Terminal-Bench 2.1 (Vals AI)83.2%67.0%Claude Sonnet 5.5
SWE-bench Multimodal (Vals AI)58.3%Not measuredOnly Claude Sonnet 5.5 measured
SkillsBench (Vals AI)Not measured50.7%Only DeepSeek V4 Flash 0731 measured
CyberBench (Vals AI)59.6%72.1%DeepSeek V4 Flash 0731
SciCode61.0%50.3%Claude Sonnet 5.5
FrontierCode52.1%18.8%Claude Sonnet 5.5
FrontierSWE61.9%Not measuredOnly Claude Sonnet 5.5 measured
WeirdMLNot measured63.0%Only DeepSeek V4 Flash 0731 measured
ALE-Bench1819.11306.1Claude Sonnet 5.5
LMArena Text: coding1513Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: software and IT1504Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev: React1817Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev: HTML1741Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev: from an image1737Not measuredOnly Claude Sonnet 5.5 measured
SciCode13.8%Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
AA Intelligence Index56.034.3Claude Sonnet 5.5
Epoch Capabilities Index166.2154.8Claude Sonnet 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
AA Agentic IndexNot measured41.0Only DeepSeek V4 Flash 0731 measured
Design Arena: agents building web apps1305Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: agents building mobile apps1260Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: spreadsheets1260Not measuredOnly Claude Sonnet 5.5 measured
LiveBench research83.6%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench browser84.0%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench long agentic78.8%Not measuredOnly Claude Sonnet 5.5 measured
SREBench (Vals AI)30.1%Not measuredOnly Claude Sonnet 5.5 measured
Finance Agent (Vals AI)58.1%49.5%Claude Sonnet 5.5
Tax Agent Bench (Vals AI)42.0%28.1%Claude Sonnet 5.5
Legal Research Bench (Vals AI)48.1%30.3%Claude Sonnet 5.5
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly Claude Sonnet 5.5 measured
Excel Modeling Benchmark (Vals AI)75.7%57.0%Claude Sonnet 5.5
BioMysteryBench (Vals AI)81.1%64.4%Claude Sonnet 5.5
Terminal-Bench-Science (Vals AI)47.1%4.3%Claude Sonnet 5.5
Vals Science Index59.1%Not measuredOnly Claude Sonnet 5.5 measured
APEX-Agents75.5%Not measuredOnly Claude Sonnet 5.5 measured
SpireClimb1.3%Not measuredOnly Claude Sonnet 5.5 measured
Vending-Bench 2$11,165Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
GPQA DiamondNot measured89.9%Only DeepSeek V4 Flash 0731 measured
LiveBench reasoning91.6%Not measuredOnly Claude Sonnet 5.5 measured
MysteryMechanism (Vals AI)49.1%Not measuredOnly Claude Sonnet 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured90.8%Only DeepSeek V4 Flash 0731 measured
Humanity's Last Exam (Artificial Analysis run)55.0%38.6%Claude Sonnet 5.5
GPQA Diamond (Epoch AI run)95.6%91.0%Claude Sonnet 5.5
ARC-AGINot measured89.0%Only DeepSeek V4 Flash 0731 measured
ARC-AGI-2Not measured61.4%Only DeepSeek V4 Flash 0731 measured
SimpleBenchNot measured61.1%Only DeepSeek V4 Flash 0731 measured
Chess puzzles59.0%32.0%Claude Sonnet 5.5
Mystery game puzzles65.0%34.0%Claude Sonnet 5.5
LMArena Text: hard prompts1494Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: expert1531Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: hard prompts in English1502Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: diagrams1329Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: homework1331Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
OTIS Mock AIME100.0%94.4%Claude Sonnet 5.5
FrontierMath, tiers 1 to 388.8%57.5%Claude Sonnet 5.5
FrontierMath, tier 480.5%24.4%Claude Sonnet 5.5
ProofBench100.0%56.0%Claude Sonnet 5.5
LMArena Text: math1497Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: mathematical work1510Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index20
Knowledge benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
MMLU ProNot measured86.2%Only DeepSeek V4 Flash 0731 measured
LegalBench (Vals AI)Not measured77.7%Only DeepSeek V4 Flash 0731 measured
CorpFin (Vals AI)Not measured61.9%Only DeepSeek V4 Flash 0731 measured
TaxEval (Vals AI)Not measured70.7%Only DeepSeek V4 Flash 0731 measured
MedCode (Vals AI)52.9%41.4%Claude Sonnet 5.5
SimpleQA Verified46.5%33.6%Claude Sonnet 5.5
LMArena Text: science1483Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: medicine and healthcare1464Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: legal and government1483Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: business and finance1468Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
Design Arena: websites13261237Claude Sonnet 5.5
Design Arena: UI components13681233Claude Sonnet 5.5
Design Arena: game dev14711207Claude Sonnet 5.5
Design Arena: data viz13921180Claude Sonnet 5.5
Design Arena: 3D14451208Claude Sonnet 5.5
Design Arena: all code categories13641229Claude Sonnet 5.5
Design Arena: SVGNot measured1184Only DeepSeek V4 Flash 0731 measured
Design Arena: ASCII artNot measured1090Only DeepSeek V4 Flash 0731 measured
LiveBench design85.0%Not measuredOnly Claude Sonnet 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
Vals Index70.8%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench data analysis59.5%Not measuredOnly Claude Sonnet 5.5 measured
Public Benefits Bench (Vals AI)67.2%Not measuredOnly Claude Sonnet 5.5 measured
SAGE (Vals AI)51.8%Not measuredOnly Claude Sonnet 5.5 measured
MedScribe (Vals AI)91.1%80.4%Claude Sonnet 5.5
Long context reasoning (AA-LCR)82.7%79.7%Claude Sonnet 5.5
DTBench97.3%90.9%Claude Sonnet 5.5
LMCA68.3%41.7%Claude Sonnet 5.5
Furniture assembly75.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text1473Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: instruction following1492Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: creative writing1467Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision1287Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: English1484Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: non-English1456Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: Chinese1535Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: French1499Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: Spanish1451Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: Russian1454Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: multi-turn1465Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: longer queries1495Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: writing and language1474Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: entertainment and media1461Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: English1289Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: reading text1297Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: creative writing1242Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5.5 and DeepSeek V4 Flash 0731
BenchmarkClaude Sonnet 5.5DeepSeek V4 Flash 0731Leader
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 5.5$0.0070Fits in one request
DeepSeek V4 Flash 0731$0.0003Fits in one request

DeepSeek V4 Flash 0731 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5.5$0.130Fits in one request
DeepSeek V4 Flash 0731$0.0082Fits in one request

DeepSeek V4 Flash 0731 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5.5$0.500Fits in one request
DeepSeek V4 Flash 0731$0.032Fits in one request

DeepSeek V4 Flash 0731 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 5.5 and DeepSeek V4 Flash 0731
SpecificationAnthropic Claude Sonnet 5.5DeepSeek V4 Flash 0731
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedSeptember 28, 2026July 31, 2026
Context window1M1.05M
Input $/Mtok$2.00$0.14
Output $/Mtok$10.00$0.396
Coding index87.351.8
Independent measurements behind it54
Cost per solved taskNot computable$0.01
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5.5 better than DeepSeek V4 Flash 0731 for coding?

Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 51.8 for DeepSeek V4 Flash 0731. Pick DeepSeek V4 Flash 0731 for output tokens 25.3x cheaper ($0.396 vs $10.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Sonnet 5.5 or DeepSeek V4 Flash 0731?

Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; DeepSeek V4 Flash 0731 costs $0.14 and $0.396. Cost per solved task is known for DeepSeek V4 Flash 0731 only.

Which has the bigger context window, Claude Sonnet 5.5 or DeepSeek V4 Flash 0731?

DeepSeek V4 Flash 0731, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 5.5 vs DeepSeek V4 Flash 0731 comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and DeepSeek V4 Flash 0731'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-sonnet-5-5-vs-deepseek-v4-flash-0731">LLMBenchmark.ai, Claude Sonnet 5.5 vs DeepSeek V4 Flash 0731</a></p>