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Claude Sonnet 5.5 vs DeepSeek V3

Updated October 21, 2026. 10 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Sonnet 5.5Anthropic
Coding
88.9
Overall
56.0
Output $/M
$10.00
10
DeepSeek V3DeepSeek
Coding
70.2
Overall
No data
Output $/M
$1.0287
0
vs boards won of 10 shared

Decision reading

Claude Sonnet 5.5 scores 88.9 and DeepSeek V3 70.2 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking.

Pick Claude Sonnet 5.5 when the context window is larger, 1M against 164K tokens, or when what matters is GPQA Diamond (Epoch AI run) or OTIS Mock AIME, where it leads; pick DeepSeek V3 when output tokens cost 9.7x less.

Shared results
10
Claude Sonnet 5.5 only
85
DeepSeek V3 only
3
Like-for-like categories
4 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 5.5 88.9 from 2 benchmarks, DeepSeek V3 70.2 from 1 benchmark.
Widest category
Math, 51.1 points apart on average over 1 shared benchmark.
Widest single gap
LMCA: Claude Sonnet 5.5 68.3% against DeepSeek V3 15.2%, 53.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5.5 $10.00 against DeepSeek V3 $1.0287 per million output tokens, 9.7x apart.
Context window
Claude Sonnet 5.5 takes 1M tokens, DeepSeek V3 164K.

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 V3Ties
Reasoning10
Math10
Web design60
General20
All shared boards100
CodingDirectional onlyFour of these boards feed the Vibe Coding Index21 boards, none shared
Coding benchmarks for Claude Sonnet 5.5 and DeepSeek V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
Aider polyglotNot measured70.2%Only DeepSeek V3 measured
SWE-bench LiteNot measured30.7%Only DeepSeek V3 measured
LiveBench coding94.7%Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev1768Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench 4 (Vals AI)64.1%Not measuredOnly Claude Sonnet 5.5 measured
Vibe Code Bench (Vals AI)92.4%Not measuredOnly Claude Sonnet 5.5 measured
Code migration (Vals AI)69.8%Not measuredOnly Claude Sonnet 5.5 measured
ProgramBench (Vals AI)6.5%Not measuredOnly Claude Sonnet 5.5 measured
IOI (Vals AI)83.1%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench 2.1 (Vals AI)83.2%Not measuredOnly Claude Sonnet 5.5 measured
SWE-bench Multimodal (Vals AI)58.3%Not measuredOnly Claude Sonnet 5.5 measured
CyberBench (Vals AI)59.6%Not measuredOnly Claude Sonnet 5.5 measured
SciCode61.0%Not measuredOnly Claude Sonnet 5.5 measured
FrontierCode52.1%Not measuredOnly Claude Sonnet 5.5 measured
FrontierSWE61.9%Not measuredOnly Claude Sonnet 5.5 measured
ALE-Bench1819.1Not measuredOnly Claude Sonnet 5.5 measured
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
Neither model has a result on the other 17 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Sonnet 5.5 and DeepSeek V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
AA Intelligence Index56.0Not measuredOnly Claude Sonnet 5.5 measured
Epoch Capabilities Index166.2Not measuredOnly Claude Sonnet 5.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
Agentic work benchmarks for Claude Sonnet 5.5 and DeepSeek V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
Design Arena: agents building web apps1303Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: agents building mobile apps1265Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: spreadsheets1245Not 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%Not measuredOnly Claude Sonnet 5.5 measured
Tax Agent Bench (Vals AI)42.0%Not measuredOnly Claude Sonnet 5.5 measured
Legal Research Bench (Vals AI)48.1%Not measuredOnly Claude Sonnet 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly Claude Sonnet 5.5 measured
Excel Modeling Benchmark (Vals AI)75.7%Not measuredOnly Claude Sonnet 5.5 measured
BioMysteryBench (Vals AI)81.1%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Sonnet 5.5 measured
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 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Claude Sonnet 5.5 and DeepSeek V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
LiveBench reasoning91.6%Not measuredOnly Claude Sonnet 5.5 measured
MysteryMechanism (Vals AI)49.1%Not measuredOnly Claude Sonnet 5.5 measured
Humanity's Last Exam (Artificial Analysis run)55.0%Not measuredOnly Claude Sonnet 5.5 measured
GPQA Diamond (Epoch AI run)95.6%71.2%Claude Sonnet 5.5
Chess puzzles59.0%Not measuredOnly Claude Sonnet 5.5 measured
Mystery game puzzles65.0%Not measuredOnly Claude Sonnet 5.5 measured
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 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Sonnet 5.5 and DeepSeek V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
OTIS Mock AIME100.0%48.9%Claude Sonnet 5.5
FrontierMath, tiers 1 to 388.8%Not measuredOnly Claude Sonnet 5.5 measured
FrontierMath, tier 480.5%Not measuredOnly Claude Sonnet 5.5 measured
ProofBench100.0%Not measuredOnly Claude Sonnet 5.5 measured
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
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Claude Sonnet 5.5 and DeepSeek V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
MedCode (Vals AI)52.9%Not measuredOnly Claude Sonnet 5.5 measured
SimpleQA Verified46.5%Not measuredOnly Claude Sonnet 5.5 measured
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 11 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 V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
Design Arena: websites13261120Claude Sonnet 5.5
Design Arena: UI components13671093Claude Sonnet 5.5
Design Arena: game dev14691054Claude Sonnet 5.5
Design Arena: data viz13891089Claude Sonnet 5.5
Design Arena: 3D14581087Claude Sonnet 5.5
Design Arena: all code categories13641108Claude Sonnet 5.5
Design Arena: SVGNot measured976Only DeepSeek V3 measured
LiveBench design85.0%Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Claude Sonnet 5.5 and DeepSeek V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
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%Not measuredOnly Claude Sonnet 5.5 measured
Long context reasoning (AA-LCR)82.7%Not measuredOnly Claude Sonnet 5.5 measured
DTBench97.3%62.7%Claude Sonnet 5.5
LMCA68.3%15.2%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 V3
BenchmarkClaude Sonnet 5.5DeepSeek V3Leader
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 V3$0.0008Fits in one request

DeepSeek V3 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5.5$0.130Fits in one request
DeepSeek V3$0.016Fits in one request

DeepSeek V3 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5.5$0.500Fits in one request
DeepSeek V3$0.062Exceeds the context window

DeepSeek V3 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 V3
SpecificationAnthropic Claude Sonnet 5.5DeepSeek V3
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedSeptember 28, 2026December 26, 2024
Context window1M164K
Input $/Mtok$2.00$0.2574
Output $/Mtok$10.00$1.0287
Coding index88.970.2
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5.5 better than DeepSeek V3 for coding?

Claude Sonnet 5.5 scores 88.9 and DeepSeek V3 70.2 on the Vibe Coding Index, but no coding benchmark measured both, so the gap is directional, not a ranking. Pick Claude Sonnet 5.5 when the context window is larger, 1M against 164K tokens, or when what matters is GPQA Diamond (Epoch AI run) or OTIS Mock AIME, where it leads; pick DeepSeek V3 when output tokens cost 9.7x less.

Which is cheaper, Claude Sonnet 5.5 or DeepSeek V3?

Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; DeepSeek V3 costs $0.2574 and $1.0287. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Sonnet 5.5 or DeepSeek V3?

Claude Sonnet 5.5, with 1M tokens against 164K.

How many benchmarks is the Claude Sonnet 5.5 vs DeepSeek V3 comparison based on?

10 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5.5's coding index rests on 2 independent benchmarks and DeepSeek V3's on 1. Where only one model has a result, the page says so instead of naming a winner.

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