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Qwen3.6 Plus vs Beam 1.0 501B A23B

Beam 1.0 501B A23B costs 1.8x less per output token than Qwen3.6 Plus ($1.10 vs $1.95 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace Qwen3.6 Plus Replace Beam 1.0 501B A23B
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
21
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
7
vs boards won of 28 shared

Qwen3.6 Plus or Beam 1.0 501B A23B: which to pick

Only Qwen3.6 Plus has a coding score, 44.1 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 1.8x cheaper ($1.10 vs $1.95 per million) and a larger context window (1.05M against 1M tokens).

Model AQwen3.6 PlusQwen44.1/1003 independent benchmarks$1.19 per solved taskModel BBeam 1.0 501B A23BReflectionNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
28
Qwen3.6 Plus only
55
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
Qwen3.6 Plus 44.1 from 3 benchmarks, Beam 1.0 501B A23B not benchmarked.
Widest category
Knowledge, 3.3 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: Qwen3.6 Plus 1442 against Beam 1.0 501B A23B 1376, 11.0 points apart on a 0 to 100 scale.
Output price
Qwen3.6 Plus $1.95 against Beam 1.0 501B A23B $1.10 per million output tokens, 1.8x apart.
Context window
Qwen3.6 Plus 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
CategoryQwen3.6 PlusBarsBeam 1.0 501B A23BTies
Coding41
Reasoning30
Math02
Knowledge40
Web design02
General102
All shared boards217
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
LMArena WebDev14611437Qwen3.6 Plus
AA Coding Index54.5Not measuredOnly Qwen3.6 Plus measured
LiveCodeBench (Vals AI)86.0%Not measuredOnly Qwen3.6 Plus measured
SWE-bench Verified (Vals AI)73.4%Not measuredOnly Qwen3.6 Plus measured
Vibe Code Bench (Vals AI)25.6%Not measuredOnly Qwen3.6 Plus measured
Code migration (Vals AI)11.1%Not measuredOnly Qwen3.6 Plus measured
ProgramBench (Vals AI)0.0%Not measuredOnly Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)53.2%Not measuredOnly Qwen3.6 Plus measured
Terminal-Bench Hard (Artificial Analysis run)43.9%Not measuredOnly Qwen3.6 Plus measured
ALE-Bench670.1Not measuredOnly Qwen3.6 Plus measured
LMArena Text: coding14671473Beam 1.0 501B A23B
LMArena Text: software and IT14621461Qwen3.6 Plus
LMArena WebDev: React14541443Qwen3.6 Plus
LMArena WebDev: HTML14631436Qwen3.6 Plus
LMArena WebDev: from an image1472Not measuredOnly Qwen3.6 Plus measured
Neither model has a result on the other 24 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
AA Intelligence Index27.0Not measuredOnly Qwen3.6 Plus measured
Epoch Capabilities Index147.3Not measuredOnly Qwen3.6 Plus measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
Finance Agent (Vals AI)40.9%Not measuredOnly Qwen3.6 Plus measured
Tax Agent Bench (Vals AI)7.7%Not measuredOnly Qwen3.6 Plus measured
Legal Research Bench (Vals AI)14.9%Not measuredOnly Qwen3.6 Plus measured
Excel Modeling Benchmark (Vals AI)32.9%Not measuredOnly Qwen3.6 Plus measured
τ²-Bench Telecom97.7%Not measuredOnly Qwen3.6 Plus measured
Vending-Bench 2$5,115Not measuredOnly Qwen3.6 Plus measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
GPQA Diamond87.4%Not measuredOnly Qwen3.6 Plus measured
MMMU Pro (Vals AI)84.2%Not measuredOnly Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)88.2%Not measuredOnly Qwen3.6 Plus measured
Humanity's Last Exam (Artificial Analysis run)27.8%Not measuredOnly Qwen3.6 Plus measured
GPQA Diamond (Epoch AI run)88.4%Not measuredOnly Qwen3.6 Plus measured
Chess puzzles14.0%Not measuredOnly Qwen3.6 Plus measured
Mystery game puzzles12.0%Not measuredOnly Qwen3.6 Plus measured
LMArena Text: hard prompts14481442Qwen3.6 Plus
LMArena Text: expert14541447Qwen3.6 Plus
LMArena Text: hard prompts in English14551451Qwen3.6 Plus
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
AIME94.6%Not measuredOnly Qwen3.6 Plus measured
OTIS Mock AIME93.3%Not measuredOnly Qwen3.6 Plus measured
FrontierMath, tiers 1 to 338.2%Not measuredOnly Qwen3.6 Plus measured
LMArena Text: math14491459Beam 1.0 501B A23B
LMArena Text: mathematical work14481475Beam 1.0 501B A23B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
MMLU Pro87.7%Not measuredOnly Qwen3.6 Plus measured
LegalBench (Vals AI)84.2%Not measuredOnly Qwen3.6 Plus measured
CaseLaw (Vals AI)51.5%Not measuredOnly Qwen3.6 Plus measured
CorpFin (Vals AI)61.9%Not measuredOnly Qwen3.6 Plus measured
TaxEval (Vals AI)74.7%Not measuredOnly Qwen3.6 Plus measured
MortgageTax (Vals AI)68.0%Not measuredOnly Qwen3.6 Plus measured
MedCode (Vals AI)36.9%Not measuredOnly Qwen3.6 Plus measured
SimpleQA Verified44.1%Not measuredOnly Qwen3.6 Plus measured
LMArena Text: science14391430Qwen3.6 Plus
LMArena Text: medicine and healthcare14421376Qwen3.6 Plus
LMArena Text: legal and government14371433Qwen3.6 Plus
LMArena Text: business and finance14301430Qwen3.6 Plus
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
Design Arena: websites12431250Beam 1.0 501B A23B
Design Arena: UI components1230Not measuredOnly Qwen3.6 Plus measured
Design Arena: game dev12111224Beam 1.0 501B A23B
Design Arena: data viz1228Not measuredOnly Qwen3.6 Plus measured
Design Arena: 3D1202Not measuredOnly Qwen3.6 Plus measured
Design Arena: all code categories1236Not measuredOnly Qwen3.6 Plus measured
Design Arena: SVG1161Not measuredOnly Qwen3.6 Plus measured
Design Arena: ASCII art1113Not measuredOnly Qwen3.6 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index102
General benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 1.0 501B A23BLeader
SAGE (Vals AI)44.9%Not measuredOnly Qwen3.6 Plus measured
MedScribe (Vals AI)77.0%Not measuredOnly Qwen3.6 Plus measured
Vals Multimodal Index51.5%Not measuredOnly Qwen3.6 Plus measured
IFBench75.2%Not measuredOnly Qwen3.6 Plus measured
Long context reasoning (AA-LCR)78.3%Not measuredOnly Qwen3.6 Plus measured
DTBench81.9%Not measuredOnly Qwen3.6 Plus measured
LMCA33.1%Not measuredOnly Qwen3.6 Plus measured
CL-bench20.3%Not measuredOnly Qwen3.6 Plus measured
LMArena Text14361425Qwen3.6 Plus
LMArena Text: instruction following14241430Beam 1.0 501B A23B
LMArena Text: creative writing14041390Qwen3.6 Plus
LMArena Text: English14451436Qwen3.6 Plus
LMArena Text: non-English14241413Qwen3.6 Plus
LMArena Text: Chinese14771424Qwen3.6 Plus
LMArena Text: German1451Not measuredOnly Qwen3.6 Plus measured
LMArena Text: Japanese1390Not measuredOnly Qwen3.6 Plus measured
LMArena Text: Korean1379Not measuredOnly Qwen3.6 Plus measured
LMArena Text: French14551461Beam 1.0 501B A23B
LMArena Text: Spanish1432Not measuredOnly Qwen3.6 Plus measured
LMArena Text: Russian14341412Qwen3.6 Plus
LMArena Text: Polish1433Not measuredOnly Qwen3.6 Plus measured
LMArena Text: multi-turn14381414Qwen3.6 Plus
LMArena Text: longer queries14391429Qwen3.6 Plus
LMArena Text: writing and language14181400Qwen3.6 Plus
LMArena Text: entertainment and media14021399Qwen3.6 Plus
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.6 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.6 PlusBeam 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

Qwen3.6 Plus$0.0013Fits 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

Qwen3.6 Plus$0.022Fits 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

Qwen3.6 Plus$0.085Fits in one request
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 Qwen3.6 Plus and Beam 1.0 501B A23B
SpecificationQwen3.6 PlusReflection Beam 1.0 501B A23B
MakerQwenReflection
WeightsNo public weights listedOpen weights
ReleasedApril 2, 2026October 16, 2026
Context window1M1.05M
Input $/Mtok$0.325$0.35
Output $/Mtok$1.95$1.10
Coding index44.1Not benchmarked
Independent measurements behind it31
Cost per solved task$1.19Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.6 Plus better than Beam 1.0 501B A23B for coding?

Only Qwen3.6 Plus has a coding score, 44.1 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 1.8x cheaper ($1.10 vs $1.95 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Qwen3.6 Plus or Beam 1.0 501B A23B?

Qwen3.6 Plus costs $0.325 per million input tokens and $1.95 per million output tokens; Beam 1.0 501B A23B costs $0.35 and $1.10. Cost per solved task is known for Qwen3.6 Plus only.

Which has the bigger context window, Qwen3.6 Plus or Beam 1.0 501B A23B?

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

How many benchmarks is the Qwen3.6 Plus vs Beam 1.0 501B A23B comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. Qwen3.6 Plus'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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