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Claude Haiku 5.5 vs DeepSeek V4 Pro 0423

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Haiku 5.5Anthropic
Coding
75.9
Overall
43.4
Output $/M
$0.50
32
DeepSeek V4 Pro 0423DeepSeek
Coding
35.3
Overall
30.4
Output $/M
$1.9105
2
vs boards won of 34 shared

Decision reading

Pick Claude Haiku 5.5 for coding: it scores 75.9 on the Vibe Coding Index against 35.3 for DeepSeek V4 Pro 0423.

Pick DeepSeek V4 Pro 0423 when the context window is larger, 1.05M against 1M tokens, or when what matters is GPQA Diamond (Epoch AI run) or SimpleQA Verified, where it leads.

Shared results
34
Claude Haiku 5.5 only
28
DeepSeek V4 Pro 0423 only
49
Like-for-like categories
8 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 Haiku 5.5 75.9 from 2 benchmarks, DeepSeek V4 Pro 0423 35.3 from 1 benchmark.
Widest category
Math, 37.2 points apart on average over 4 shared benchmarks.
Widest single gap
ProofBench: Claude Haiku 5.5 89.0% against DeepSeek V4 Pro 0423 16.0%, 73.0 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against DeepSeek V4 Pro 0423 $1.9105 per million output tokens, 3.8x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, DeepSeek V4 Pro 0423 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 Haiku 5.5BarsDeepSeek V4 Pro 0423Ties
Coding80
Intelligence20
Agentic work50
Reasoning21
Math40
Knowledge11
Web design60
General40
All shared boards322
CodingLike-for-likeFour of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
LiveBench coding91.4%Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev15861447Claude Haiku 5.5
AA Coding IndexNot measured59.4Only DeepSeek V4 Pro 0423 measured
LiveCodeBench (Vals AI)Not measured87.5%Only DeepSeek V4 Pro 0423 measured
SWE-bench Verified (Vals AI)Not measured77.4%Only DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)36.4%11.1%Claude Haiku 5.5
Vibe Code Bench (Vals AI)90.4%49.9%Claude Haiku 5.5
Code migration (Vals AI)44.6%26.2%Claude Haiku 5.5
ProgramBench (Vals AI)2.5%0.0%Claude Haiku 5.5
IOI (Vals AI)47.3%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured50.2%Only DeepSeek V4 Pro 0423 measured
SWE-bench Multimodal (Vals AI)44.0%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench 1-100 (Vals AI)20.4%Not measuredOnly Claude Haiku 5.5 measured
SkillsBench (Vals AI)Not measured51.3%Only DeepSeek V4 Pro 0423 measured
CyberBench (Vals AI)75.5%Not measuredOnly Claude Haiku 5.5 measured
SciCode55.0%Not measuredOnly Claude Haiku 5.5 measured
FrontierCode46.4%17.6%Claude Haiku 5.5
FrontierSWE43.8%Not measuredOnly Claude Haiku 5.5 measured
WeirdMLNot measured48.9%Only DeepSeek V4 Pro 0423 measured
ALE-BenchNot measured1006.1Only DeepSeek V4 Pro 0423 measured
LMArena Text: codingNot measured1470Only DeepSeek V4 Pro 0423 measured
LMArena Text: software and ITNot measured1469Only DeepSeek V4 Pro 0423 measured
LMArena WebDev: React16051441Claude Haiku 5.5
LMArena WebDev: HTML15691435Claude Haiku 5.5
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 Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
AA Intelligence Index43.430.4Claude Haiku 5.5
Epoch Capabilities Index159.3149.1Claude Haiku 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
AA Agentic IndexNot measured26.3Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building web appsNot measured1000Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack appsNot measured948Only DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot gamesNot measured1059Only DeepSeek V4 Pro 0423 measured
LiveBench research81.9%Not measuredOnly Claude Haiku 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Haiku 5.5 measured
LiveBench long agentic57.6%Not measuredOnly Claude Haiku 5.5 measured
SREBench (Vals AI)5.7%Not measuredOnly Claude Haiku 5.5 measured
Finance Agent (Vals AI)54.1%44.1%Claude Haiku 5.5
Tax Agent Bench (Vals AI)31.9%25.2%Claude Haiku 5.5
Legal Research Bench (Vals AI)43.3%23.1%Claude Haiku 5.5
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly Claude Haiku 5.5 measured
Excel Modeling Benchmark (Vals AI)59.0%51.6%Claude Haiku 5.5
BioMysteryBench (Vals AI)70.4%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench-Science (Vals AI)10.0%Not measuredOnly Claude Haiku 5.5 measured
Vals Science Index38.5%Not measuredOnly Claude Haiku 5.5 measured
APEX-Agents56.1%Not measuredOnly Claude Haiku 5.5 measured
Vending-Bench 2$3,602$3,285Claude Haiku 5.5
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
Reasoning benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
GPQA DiamondNot measured89.4%Only DeepSeek V4 Pro 0423 measured
LiveBench reasoning82.4%Not measuredOnly Claude Haiku 5.5 measured
MysteryMechanism (Vals AI)35.1%Not measuredOnly Claude Haiku 5.5 measured
Humanity's Last Exam (Artificial Analysis run)44.4%Not measuredOnly Claude Haiku 5.5 measured
GPQA Diamond (Epoch AI run)89.6%90.9%DeepSeek V4 Pro 0423
ARC-AGI89.0%Not measuredOnly Claude Haiku 5.5 measured
ARC-AGI-261.3%Not measuredOnly Claude Haiku 5.5 measured
Chess puzzles55.0%19.0%Claude Haiku 5.5
Mystery game puzzles30.0%17.0%Claude Haiku 5.5
EBR-bench43.8%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: hard promptsNot measured1461Only DeepSeek V4 Pro 0423 measured
LMArena Text: expertNot measured1463Only DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts in EnglishNot measured1466Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
OTIS Mock AIME98.9%96.7%Claude Haiku 5.5
FrontierMath, tiers 1 to 375.1%45.3%Claude Haiku 5.5
FrontierMath, tier 446.3%2.4%Claude Haiku 5.5
ProofBench89.0%16.0%Claude Haiku 5.5
LMArena Text: mathNot measured1443Only DeepSeek V4 Pro 0423 measured
LMArena Text: mathematical workNot measured1455Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index11
Knowledge benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
MMLU ProNot measured87.3%Only DeepSeek V4 Pro 0423 measured
LegalBench (Vals AI)Not measured80.3%Only DeepSeek V4 Pro 0423 measured
CaseLaw (Vals AI)Not measured59.4%Only DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)Not measured61.4%Only DeepSeek V4 Pro 0423 measured
TaxEval (Vals AI)Not measured72.1%Only DeepSeek V4 Pro 0423 measured
MedCode (Vals AI)51.5%40.5%Claude Haiku 5.5
SimpleQA Verified23.8%47.0%DeepSeek V4 Pro 0423
LMArena Text: scienceNot measured1470Only DeepSeek V4 Pro 0423 measured
LMArena Text: medicine and healthcareNot measured1466Only DeepSeek V4 Pro 0423 measured
LMArena Text: legal and governmentNot measured1464Only DeepSeek V4 Pro 0423 measured
LMArena Text: business and financeNot measured1443Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
Design Arena: websites12631235Claude Haiku 5.5
Design Arena: UI components12951221Claude Haiku 5.5
Design Arena: game dev13151229Claude Haiku 5.5
Design Arena: data viz12921203Claude Haiku 5.5
Design Arena: 3D13431254Claude Haiku 5.5
Design Arena: all code categories12791240Claude Haiku 5.5
Design Arena: SVGNot measured1139Only DeepSeek V4 Pro 0423 measured
Design Arena: ASCII artNot measured1148Only DeepSeek V4 Pro 0423 measured
LiveBench design83.1%Not measuredOnly Claude Haiku 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
Vals Index58.7%Not measuredOnly Claude Haiku 5.5 measured
LiveBench data analysis53.1%Not measuredOnly Claude Haiku 5.5 measured
Public Benefits Bench (Vals AI)63.2%62.9%Claude Haiku 5.5
SAGE (Vals AI)45.8%Not measuredOnly Claude Haiku 5.5 measured
MedScribe (Vals AI)89.5%75.1%Claude Haiku 5.5
Long context reasoning (AA-LCR)82.7%Not measuredOnly Claude Haiku 5.5 measured
DTBench95.0%90.7%Claude Haiku 5.5
LMCA51.1%41.2%Claude Haiku 5.5
Surface Evolver BenchNot measured40.0%Only DeepSeek V4 Pro 0423 measured
Furniture assembly47.5%Not measuredOnly Claude Haiku 5.5 measured
CL-bench LifeNot measured13.5%Only DeepSeek V4 Pro 0423 measured
LMArena TextNot measured1451Only DeepSeek V4 Pro 0423 measured
LMArena Text: instruction followingNot measured1445Only DeepSeek V4 Pro 0423 measured
LMArena Text: creative writingNot measured1446Only DeepSeek V4 Pro 0423 measured
LMArena Text: EnglishNot measured1459Only DeepSeek V4 Pro 0423 measured
LMArena Text: non-EnglishNot measured1439Only DeepSeek V4 Pro 0423 measured
LMArena Text: ChineseNot measured1481Only DeepSeek V4 Pro 0423 measured
LMArena Text: GermanNot measured1458Only DeepSeek V4 Pro 0423 measured
LMArena Text: JapaneseNot measured1446Only DeepSeek V4 Pro 0423 measured
LMArena Text: KoreanNot measured1409Only DeepSeek V4 Pro 0423 measured
LMArena Text: FrenchNot measured1473Only DeepSeek V4 Pro 0423 measured
LMArena Text: SpanishNot measured1457Only DeepSeek V4 Pro 0423 measured
LMArena Text: RussianNot measured1453Only DeepSeek V4 Pro 0423 measured
LMArena Text: PolishNot measured1461Only DeepSeek V4 Pro 0423 measured
LMArena Text: multi-turnNot measured1468Only DeepSeek V4 Pro 0423 measured
LMArena Text: longer queriesNot measured1458Only DeepSeek V4 Pro 0423 measured
LMArena Text: writing and languageNot measured1447Only DeepSeek V4 Pro 0423 measured
LMArena Text: entertainment and mediaNot measured1431Only DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 5.5 and DeepSeek V4 Pro 0423
BenchmarkClaude Haiku 5.5DeepSeek V4 Pro 0423Leader
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 Haiku 5.5$0.0003Fits in one request
DeepSeek V4 Pro 0423$0.0019Fits in one request

Claude Haiku 5.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 5.5$0.0065Fits in one request
DeepSeek V4 Pro 0423$0.053Fits in one request

Claude Haiku 5.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 5.5$0.025Fits in one request
DeepSeek V4 Pro 0423$0.210Fits in one request

Claude Haiku 5.5 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 Haiku 5.5 and DeepSeek V4 Pro 0423
SpecificationAnthropic Claude Haiku 5.5DeepSeek V4 Pro 0423
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedOctober 7, 2026April 24, 2026
Context window1M1.05M
Input $/Mtok$0.10$0.9553
Output $/Mtok$0.50$1.9105
Coding index75.935.3
Independent measurements behind it21
Cost per solved taskNot computable$0.57
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than DeepSeek V4 Pro 0423 for coding?

Pick Claude Haiku 5.5 for coding: it scores 75.9 on the Vibe Coding Index against 35.3 for DeepSeek V4 Pro 0423. Pick DeepSeek V4 Pro 0423 when the context window is larger, 1.05M against 1M tokens, or when what matters is GPQA Diamond (Epoch AI run) or SimpleQA Verified, where it leads.

Which is cheaper, Claude Haiku 5.5 or DeepSeek V4 Pro 0423?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; DeepSeek V4 Pro 0423 costs $0.9553 and $1.9105. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

Which has the bigger context window, Claude Haiku 5.5 or DeepSeek V4 Pro 0423?

DeepSeek V4 Pro 0423, with 1.05M tokens against 1M.

How many benchmarks is the Claude Haiku 5.5 vs DeepSeek V4 Pro 0423 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 5.5's coding index rests on 2 independent benchmarks and DeepSeek V4 Pro 0423's on 1. Where only one model has a result, the page says so instead of naming a winner.

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