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Claude Haiku 5.5 vs Beam 1.0 501B A23B

Updated October 21, 2026. 5 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
5
R Beam 1.0 501B A23BReflection
Coding
33.8
Overall
No data
Output $/M
$1.00
0
vs boards won of 5 shared

Decision reading

Pick Claude Haiku 5.5 for coding: it scores 75.9 on the Vibe Coding Index against 33.8 for Beam 1.0 501B A23B.

Pick Beam 1.0 501B A23B when the context window is larger, 1.05M against 1M tokens.

Shared results
5
Claude Haiku 5.5 only
57
Beam 1.0 501B A23B only
23
Like-for-like categories
2 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, Beam 1.0 501B A23B 33.8 from 1 benchmark.
Widest category
Coding, 23.2 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena WebDev: React: Claude Haiku 5.5 1605 against Beam 1.0 501B A23B 1443, 26.2 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against Beam 1.0 501B A23B $1.00 per million output tokens, 2.0x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, Beam 1.0 501B A23B 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 5.5BarsBeam 1.0 501B A23BTies
Coding30
Web design20
All shared boards50
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
LiveBench coding91.4%Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev15861437Claude Haiku 5.5
Terminal-Bench 4 (Vals AI)36.4%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench (Vals AI)90.4%Not measuredOnly Claude Haiku 5.5 measured
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
LMArena Text: codingNot measured1473Only Beam 1.0 501B A23B measured
LMArena Text: software and ITNot measured1461Only Beam 1.0 501B A23B measured
LMArena WebDev: React16051443Claude Haiku 5.5
LMArena WebDev: HTML15691436Claude Haiku 5.5
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
AA Intelligence Index43.4Not measuredOnly Claude Haiku 5.5 measured
Epoch Capabilities Index159.3Not measuredOnly Claude Haiku 5.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for Claude Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
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%Not measuredOnly Claude Haiku 5.5 measured
Tax Agent Bench (Vals AI)31.9%Not measuredOnly Claude Haiku 5.5 measured
Legal Research Bench (Vals AI)43.3%Not measuredOnly Claude Haiku 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly Claude Haiku 5.5 measured
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 25 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Reasoning benchmarks for Claude Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
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 promptsNot measured1442Only Beam 1.0 501B A23B measured
LMArena Text: expertNot measured1447Only Beam 1.0 501B A23B measured
LMArena Text: hard prompts in EnglishNot measured1451Only Beam 1.0 501B A23B measured
Neither model has a result on the other 9 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
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: mathNot measured1459Only Beam 1.0 501B A23B measured
LMArena Text: mathematical workNot measured1475Only Beam 1.0 501B A23B 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 Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
MedCode (Vals AI)51.5%Not measuredOnly Claude Haiku 5.5 measured
SimpleQA Verified23.8%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: scienceNot measured1430Only Beam 1.0 501B A23B measured
LMArena Text: medicine and healthcareNot measured1376Only Beam 1.0 501B A23B measured
LMArena Text: legal and governmentNot measured1433Only Beam 1.0 501B A23B measured
LMArena Text: business and financeNot measured1430Only Beam 1.0 501B A23B measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for Claude Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
Design Arena: websites12631253Claude Haiku 5.5
Design Arena: UI components1295Not measuredOnly Claude Haiku 5.5 measured
Design Arena: game dev13151222Claude Haiku 5.5
Design Arena: data viz1292Not measuredOnly Claude Haiku 5.5 measured
Design Arena: 3D1343Not measuredOnly Claude Haiku 5.5 measured
Design Arena: all code categories1279Not measuredOnly Claude Haiku 5.5 measured
LiveBench design83.1%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
General benchmarks for Claude Haiku 5.5 and Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
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%Not measuredOnly Claude Haiku 5.5 measured
SAGE (Vals AI)45.8%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 TextNot measured1425Only Beam 1.0 501B A23B measured
LMArena Text: instruction followingNot measured1430Only Beam 1.0 501B A23B measured
LMArena Text: creative writingNot measured1390Only Beam 1.0 501B A23B measured
LMArena Text: EnglishNot measured1436Only Beam 1.0 501B A23B measured
LMArena Text: non-EnglishNot measured1413Only Beam 1.0 501B A23B measured
LMArena Text: ChineseNot measured1424Only Beam 1.0 501B A23B measured
LMArena Text: FrenchNot measured1461Only Beam 1.0 501B A23B measured
LMArena Text: RussianNot measured1412Only Beam 1.0 501B A23B measured
LMArena Text: multi-turnNot measured1414Only Beam 1.0 501B A23B measured
LMArena Text: longer queriesNot measured1429Only Beam 1.0 501B A23B measured
LMArena Text: writing and languageNot measured1400Only Beam 1.0 501B A23B measured
LMArena Text: entertainment and mediaNot measured1399Only Beam 1.0 501B A23B 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 Beam 1.0 501B A23B
BenchmarkClaude Haiku 5.5Beam 1.0 501B A23BLeader
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
Beam 1.0 501B A23B$0.0008Fits 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
Beam 1.0 501B A23B$0.018Fits 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
Beam 1.0 501B A23B$0.070Fits 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 Beam 1.0 501B A23B
SpecificationAnthropic Claude Haiku 5.5Reflection Beam 1.0 501B A23B
MakerAnthropicReflection
WeightsNo public weights listedOpen weights
ReleasedOctober 7, 2026October 16, 2026
Context window1M1.05M
Input $/Mtok$0.10$0.30
Output $/Mtok$0.50$1.00
Coding index75.933.8
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than Beam 1.0 501B A23B for coding?

Pick Claude Haiku 5.5 for coding: it scores 75.9 on the Vibe Coding Index against 33.8 for Beam 1.0 501B A23B. Pick Beam 1.0 501B A23B when the context window is larger, 1.05M against 1M tokens.

Which is cheaper, Claude Haiku 5.5 or Beam 1.0 501B A23B?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; Beam 1.0 501B A23B costs $0.30 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Haiku 5.5 or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 1M.

How many benchmarks is the Claude Haiku 5.5 vs Beam 1.0 501B A23B comparison based on?

5 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 Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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