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Claude Haiku 5.5 vs Hy4

Claude Haiku 5.5 leads Hy4 on coding, 70.8 to 65.2 on the Vibe Coding Index, and Claude Haiku 5.5 costs 2.5x less per output token ($0.50 vs $1.2505 per million). Updated November 5, 2026; 6 benchmarks have a result for both.

Claude Haiku 5.5Anthropic
Coding
70.8
Overall
64.3
Output $/M
$0.50
2
Hy4Tencent
Coding
65.2
Overall
No data
Output $/M
$1.2505
4
vs boards won of 6 shared

Claude Haiku 5.5 or Hy4: which to pick

Pick Claude Haiku 5.5 for coding: it scores 70.8 on the Vibe Coding Index against 65.2 for Hy4.

Pick Hy4 for a larger context window (1.05M against 1M tokens) and work measured by Terminal-Bench 4 (Vals AI) or Tax Agent Bench (Vals AI), where it leads.

Shared results
6
Claude Haiku 5.5 only
88
Hy4 only
0
Like-for-like categories
3 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 Haiku 5.5 70.8 from 5 benchmarks, Hy4 65.2 from 2 benchmarks.
Widest category
Coding, 6.7 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Haiku 5.5 90.4% against Hy4 81.0%, 9.4 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against Hy4 $1.2505 per million output tokens, 2.5x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, Hy4 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 5.5BarsHy4Ties
Coding11
Agentic work12
General01
All shared boards24
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
LiveBench coding91.4%Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev1589Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench 4 (Vals AI)36.4%39.4%Hy4
Vibe Code Bench (Vals AI)90.4%81.0%Claude Haiku 5.5
Code migration (Vals AI)44.6%Not measuredOnly Claude Haiku 5.5 measured
ProgramBench (Vals AI)2.5%Not measuredOnly Claude Haiku 5.5 measured
IOI (Vals AI)47.3%Not measuredOnly Claude Haiku 5.5 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
CyberBench (Vals AI)75.5%Not measuredOnly Claude Haiku 5.5 measured
SciCode55.0%Not measuredOnly Claude Haiku 5.5 measured
FrontierCode46.4%Not measuredOnly Claude Haiku 5.5 measured
FrontierSWE43.8%Not measuredOnly Claude Haiku 5.5 measured
ALE-Bench1587.0Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: coding1454Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: software and IT1449Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev: React1608Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev: HTML1568Not measuredOnly Claude Haiku 5.5 measured
SciCode9.2%Not measuredOnly Claude Haiku 5.5 measured
SWE-Bench Pro V287.2%Not measuredOnly Claude Haiku 5.5 measured
GameBench 255.7Not measuredOnly Claude Haiku 5.5 measured
CursorBench 4.048.4%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 28 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
AA Intelligence Index36.5Not measuredOnly Claude Haiku 5.5 measured
Epoch Capabilities Index160.2Not measuredOnly Claude Haiku 5.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
Agentic work benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
LiveBench research81.9%Not measuredOnly Claude Haiku 5.5 measured
LiveBench browser69.5%Not measuredOnly Claude Haiku 5.5 measured
LiveBench long agentic40.0%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%Not measuredOnly Claude Haiku 5.5 measured
Tax Agent Bench (Vals AI)31.9%34.4%Hy4
Legal Research Bench (Vals AI)43.8%41.4%Claude Haiku 5.5
Harvey's Legal Agent Benchmark (Vals AI)4.2%12.5%Hy4
Excel Modeling Benchmark (Vals AI)59.0%Not measuredOnly Claude Haiku 5.5 measured
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$3,602Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 30 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Reasoning benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
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%Not measuredOnly Claude Haiku 5.5 measured
ARC-AGI89.0%Not measuredOnly Claude Haiku 5.5 measured
ARC-AGI-261.3%Not measuredOnly Claude Haiku 5.5 measured
Chess puzzles55.0%Not measuredOnly Claude Haiku 5.5 measured
Mystery game puzzles30.0%Not measuredOnly Claude Haiku 5.5 measured
EBR-bench43.8%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: hard prompts1421Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: expert1454Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: hard prompts in English1427Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 12 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
OTIS Mock AIME98.9%Not measuredOnly Claude Haiku 5.5 measured
FrontierMath, tiers 1 to 375.1%Not measuredOnly Claude Haiku 5.5 measured
FrontierMath, tier 446.3%Not measuredOnly Claude Haiku 5.5 measured
ProofBench89.0%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: math1434Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: mathematical work1438Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
MedCode (Vals AI)51.5%Not measuredOnly Claude Haiku 5.5 measured
SimpleQA Verified23.8%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: science1407Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: medicine and healthcare1372Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: legal and government1391Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: business and finance1405Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
Design Arena: websites1261Not measuredOnly Claude Haiku 5.5 measured
Design Arena: UI components1277Not measuredOnly Claude Haiku 5.5 measured
Design Arena: game dev1319Not measuredOnly Claude Haiku 5.5 measured
Design Arena: data viz1290Not measuredOnly Claude Haiku 5.5 measured
Design Arena: 3D1335Not measuredOnly Claude Haiku 5.5 measured
Design Arena: all code categories1281Not measuredOnly Claude Haiku 5.5 measured
Design Arena: SVG1204Not measuredOnly Claude Haiku 5.5 measured
Design Arena: ASCII art1210Not measuredOnly Claude Haiku 5.5 measured
LiveBench design83.1%Not measuredOnly Claude Haiku 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Claude Haiku 5.5 and Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
Vals Index58.7%59.4%Hy4
LiveBench data analysis53.1%Not measuredOnly Claude Haiku 5.5 measured
Public Benefits Bench (Vals AI)63.2%Not measuredOnly Claude Haiku 5.5 measured
SAGE (Vals AI)89.8%Not measuredOnly Claude Haiku 5.5 measured
MedScribe (Vals AI)89.5%Not measuredOnly Claude Haiku 5.5 measured
Long context reasoning (AA-LCR)82.7%Not measuredOnly Claude Haiku 5.5 measured
DTBench95.0%Not measuredOnly Claude Haiku 5.5 measured
LMCA51.1%Not measuredOnly Claude Haiku 5.5 measured
Furniture assembly47.5%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text1401Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: instruction following1415Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: creative writing1336Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: English1411Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: non-English1387Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: Chinese1438Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: French1430Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: Spanish1387Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: Russian1370Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: multi-turn1398Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: longer queries1400Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: writing and language1368Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: entertainment and media1352Not measuredOnly Claude Haiku 5.5 measured
MultiChallenge67.7%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 25 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 Hy4
BenchmarkClaude Haiku 5.5Hy4Leader
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
Hy4$0.0010Fits 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
Hy4$0.025Fits 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
Hy4$0.096Fits 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 Hy4
SpecificationAnthropic Claude Haiku 5.5Tencent Hy4
MakerAnthropicTencent
WeightsNo public weights listedOpen weights
ReleasedOctober 7, 2026November 4, 2026
Context window1M1.05M
Input $/Mtok$0.10$0.417
Output $/Mtok$0.50$1.2505
Coding index70.865.2
Independent measurements behind it52
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than Hy4 for coding?

Pick Claude Haiku 5.5 for coding: it scores 70.8 on the Vibe Coding Index against 65.2 for Hy4. Pick Hy4 for a larger context window (1.05M against 1M tokens) and work measured by Terminal-Bench 4 (Vals AI) or Tax Agent Bench (Vals AI), where it leads.

Which is cheaper, Claude Haiku 5.5 or Hy4?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; Hy4 costs $0.417 and $1.2505. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Haiku 5.5 or Hy4?

Hy4, with 1.05M tokens against 1M.

How many benchmarks is the Claude Haiku 5.5 vs Hy4 comparison based on?

6 benchmarks have a result for both models as of November 5, 2026. Claude Haiku 5.5's coding index rests on 5 independent benchmarks and Hy4's on 2. 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-haiku-5-5-vs-tencent-hy4">LLMBenchmark.ai, Claude Haiku 5.5 vs Hy4</a></p>