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Claude Opus 4.5 vs Beam 1.0 501B A23B

Beam 1.0 501B A23B costs 22.7x less per output token than Claude Opus 4.5 ($1.10 vs $25.00 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
26
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
2
vs boards won of 28 shared

Claude Opus 4.5 or Beam 1.0 501B A23B: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding.

Pick Beam 1.0 501B A23B for output tokens 22.7x cheaper ($1.10 vs $25.00 per million) and a larger context window (1.05M against 200K tokens).

Shared results
28
Claude Opus 4.5 only
80
Beam 1.0 501B A23B only
0
Like-for-like categories
6 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 Opus 4.5 44.0 from 3 benchmarks, Beam 1.0 501B A23B not benchmarked.
Widest category
Coding, 7.1 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Claude Opus 4.5 1510 against Beam 1.0 501B A23B 1436, 12.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Beam 1.0 501B A23B $1.10 per million output tokens, 22.7x apart.
Context window
Claude Opus 4.5 takes 200K 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 Opus 4.5BarsBeam 1.0 501B A23BTies
Coding50
Reasoning30
Math11
Knowledge40
Web design11
General120
All shared boards262
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev14941437Claude Opus 4.5
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: coding15031473Claude Opus 4.5
LMArena Text: software and IT14831461Claude Opus 4.5
LMArena WebDev: React14781443Claude Opus 4.5
LMArena WebDev: HTML15101436Claude Opus 4.5
Neither model has a result on the other 22 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
AA Intelligence Index29.1Not measuredOnly Claude Opus 4.5 measured
Epoch Capabilities Index150.1Not measuredOnly Claude Opus 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%Not measuredOnly Claude Opus 4.5 measured
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%Not measuredOnly Claude Opus 4.5 measured
Humanity's Last Exam (Artificial Analysis run)30.1%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Epoch AI run)86.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%Not measuredOnly Claude Opus 4.5 measured
Chess puzzles14.0%Not measuredOnly Claude Opus 4.5 measured
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761442Claude Opus 4.5
LMArena Text: expert14871447Claude Opus 4.5
LMArena Text: hard prompts in English14821451Claude Opus 4.5
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: math14631459Claude Opus 4.5
LMArena Text: mathematical work14681475Beam 1.0 501B A23B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541430Claude Opus 4.5
LMArena Text: medicine and healthcare14441376Claude Opus 4.5
LMArena Text: legal and government14591433Claude Opus 4.5
LMArena Text: business and finance14481430Claude Opus 4.5
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index11
Web design benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
Design Arena: websites12471250Beam 1.0 501B A23B
Design Arena: UI components1235Not measuredOnly Claude Opus 4.5 measured
Design Arena: game dev12281224Claude Opus 4.5
Design Arena: data viz1243Not measuredOnly Claude Opus 4.5 measured
Design Arena: 3D1213Not measuredOnly Claude Opus 4.5 measured
Design Arena: all code categories1242Not measuredOnly Claude Opus 4.5 measured
Design Arena: SVG1180Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
General benchmarks for Claude Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 1.0 501B A23BLeader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%Not measuredOnly Claude Opus 4.5 measured
Long context reasoning (AA-LCR)77.3%Not measuredOnly Claude Opus 4.5 measured
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511425Claude Opus 4.5
LMArena Text: instruction following14781430Claude Opus 4.5
LMArena Text: creative writing14451390Claude Opus 4.5
LMArena Text: English14611436Claude Opus 4.5
LMArena Text: non-English14381413Claude Opus 4.5
LMArena Text: Chinese14701424Claude Opus 4.5
LMArena Text: German1449Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Japanese1417Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Korean1424Not measuredOnly Claude Opus 4.5 measured
LMArena Text: French14711461Claude Opus 4.5
LMArena Text: Spanish1457Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Russian14471412Claude Opus 4.5
LMArena Text: Polish1439Not measuredOnly Claude Opus 4.5 measured
LMArena Text: multi-turn14661414Claude Opus 4.5
LMArena Text: longer queries14791429Claude Opus 4.5
LMArena Text: writing and language14521400Claude Opus 4.5
LMArena Text: entertainment and media14341399Claude Opus 4.5
LMArena Document1462Not measuredOnly Claude Opus 4.5 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 Opus 4.5 and Beam 1.0 501B A23B
BenchmarkClaude Opus 4.5Beam 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 Opus 4.5$0.018Fits in one request
Beam 1.0 501B A23B$0.0009Fits in one request

Beam 1.0 501B A23B costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
Beam 1.0 501B A23B$0.021Fits in one request

Beam 1.0 501B A23B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
Beam 1.0 501B A23B$0.081Fits in one request

Beam 1.0 501B A23B 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 Opus 4.5 and Beam 1.0 501B A23B
SpecificationAnthropic Claude Opus 4.5Reflection Beam 1.0 501B A23B
MakerAnthropicReflection
WeightsNo public weights listedOpen weights
ReleasedNovember 24, 2025October 16, 2026
Context window200K1.05M
Input $/Mtok$5.00$0.35
Output $/Mtok$25.00$1.10
Coding index44.0Not benchmarked
Independent measurements behind it31
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Beam 1.0 501B A23B for coding?

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for output tokens 22.7x cheaper ($1.10 vs $25.00 per million) and a larger context window (1.05M against 200K tokens).

Which is cheaper, Claude Opus 4.5 or Beam 1.0 501B A23B?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Beam 1.0 501B A23B costs $0.35 and $1.10. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Beam 1.0 501B A23B comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 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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