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Qwen3.7 Plus vs Beam 1.0 501B A23B

Qwen3.7 Plus and Beam 1.0 501B A23B cost about the same per output token ($1.28 vs $1.10 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Replace Qwen3.7 Plus Replace Beam 1.0 501B A23B
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
24
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
1
vs boards won of 25 shared

Qwen3.7 Plus or Beam 1.0 501B A23B: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 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 1.2x cheaper ($1.10 vs $1.28 per million) and a larger context window (1.05M against 1M tokens).

Model AQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved taskModel BBeam 1.0 501B A23BReflectionNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
25
Qwen3.7 Plus only
50
Beam 1.0 501B A23B only
3
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
Qwen3.7 Plus 33.2 from 2 benchmarks, Beam 1.0 501B A23B not benchmarked.
Widest category
Knowledge, 6.1 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: Qwen3.7 Plus 1464 against Beam 1.0 501B A23B 1376, 14.7 points apart on a 0 to 100 scale.
Output price
Qwen3.7 Plus $1.28 against Beam 1.0 501B A23B $1.10 per million output tokens, 1.2x apart.
Context window
Qwen3.7 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
CategoryQwen3.7 PlusBarsBeam 1.0 501B A23BTies
Coding20
Reasoning30
Math11
Knowledge40
Web design20
General120
All shared boards241
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
AA Coding Index55.9Not measuredOnly Qwen3.7 Plus measured
Vibe Code Bench (Vals AI)46.4%Not measuredOnly Qwen3.7 Plus measured
Code migration (Vals AI)12.9%Not measuredOnly Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)52.8%Not measuredOnly Qwen3.7 Plus measured
SkillsBench (Vals AI)54.3%Not measuredOnly Qwen3.7 Plus measured
SciCode46.1%Not measuredOnly Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Qwen3.7 Plus measured
FrontierCode10.2%Not measuredOnly Qwen3.7 Plus measured
LMArena Text: coding14731473Qwen3.7 Plus
LMArena Text: software and IT14731461Qwen3.7 Plus
LMArena WebDev: ReactNot measured1443Only Beam 1.0 501B A23B measured
LMArena WebDev: HTMLNot measured1436Only Beam 1.0 501B A23B measured
Neither model has a result on the other 26 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
AA Intelligence Index25.2Not measuredOnly Qwen3.7 Plus measured
Epoch Capabilities Index147.0Not measuredOnly Qwen3.7 Plus measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
AA Agentic Index17.5Not measuredOnly Qwen3.7 Plus measured
Finance Agent (Vals AI)38.2%Not measuredOnly Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)10.5%Not measuredOnly Qwen3.7 Plus measured
Legal Research Bench (Vals AI)16.4%Not measuredOnly Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)49.3%Not measuredOnly Qwen3.7 Plus measured
τ²-Bench Telecom93.0%Not measuredOnly Qwen3.7 Plus measured
OSWorld 2.02.8%Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
GPQA Diamond (Artificial Analysis run)90.0%Not measuredOnly Qwen3.7 Plus measured
Humanity's Last Exam (Artificial Analysis run)35.6%Not measuredOnly Qwen3.7 Plus measured
GPQA Diamond (Epoch AI run)87.9%Not measuredOnly Qwen3.7 Plus measured
Mystery game puzzles17.0%Not measuredOnly Qwen3.7 Plus measured
LMArena Text: hard prompts14601442Qwen3.7 Plus
LMArena Text: expert14661447Qwen3.7 Plus
LMArena Text: hard prompts in English14601451Qwen3.7 Plus
LMArena Vision: diagrams1292Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: homework1295Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
OTIS Mock AIME93.3%Not measuredOnly Qwen3.7 Plus measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Qwen3.7 Plus measured
LMArena Text: math14671459Qwen3.7 Plus
LMArena Text: mathematical work14701475Beam 1.0 501B A23B
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
MortgageTax (Vals AI)66.2%Not measuredOnly Qwen3.7 Plus measured
LMArena Text: science14641430Qwen3.7 Plus
LMArena Text: medicine and healthcare14641376Qwen3.7 Plus
LMArena Text: legal and government14511433Qwen3.7 Plus
LMArena Text: business and finance14351430Qwen3.7 Plus
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
Design Arena: websites12691250Qwen3.7 Plus
Design Arena: UI components1258Not measuredOnly Qwen3.7 Plus measured
Design Arena: game dev12611224Qwen3.7 Plus
Design Arena: data viz1276Not measuredOnly Qwen3.7 Plus measured
Design Arena: 3D1238Not measuredOnly Qwen3.7 Plus measured
Design Arena: all code categories1269Not measuredOnly Qwen3.7 Plus measured
Design Arena: SVG1208Not measuredOnly Qwen3.7 Plus measured
Design Arena: ASCII art1143Not measuredOnly Qwen3.7 Plus 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 Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 PlusBeam 1.0 501B A23BLeader
SAGE (Vals AI)39.3%Not measuredOnly Qwen3.7 Plus measured
Vals Multimodal Index53.9%Not measuredOnly Qwen3.7 Plus measured
IFBench78.0%Not measuredOnly Qwen3.7 Plus measured
Long context reasoning (AA-LCR)73.0%Not measuredOnly Qwen3.7 Plus measured
DTBench84.0%Not measuredOnly Qwen3.7 Plus measured
LMCA37.6%Not measuredOnly Qwen3.7 Plus measured
LMArena Text14541425Qwen3.7 Plus
LMArena Text: instruction following14391430Qwen3.7 Plus
LMArena Text: creative writing14381390Qwen3.7 Plus
LMArena Vision1278Not measuredOnly Qwen3.7 Plus measured
LMArena Text: English14581436Qwen3.7 Plus
LMArena Text: non-English14451413Qwen3.7 Plus
LMArena Text: Chinese15091424Qwen3.7 Plus
LMArena Text: German1471Not measuredOnly Qwen3.7 Plus measured
LMArena Text: Japanese1412Not measuredOnly Qwen3.7 Plus measured
LMArena Text: Korean1413Not measuredOnly Qwen3.7 Plus measured
LMArena Text: French14721461Qwen3.7 Plus
LMArena Text: Spanish1457Not measuredOnly Qwen3.7 Plus measured
LMArena Text: Russian14571412Qwen3.7 Plus
LMArena Text: Polish1449Not measuredOnly Qwen3.7 Plus measured
LMArena Text: multi-turn14591414Qwen3.7 Plus
LMArena Text: longer queries14541429Qwen3.7 Plus
LMArena Text: writing and language14371400Qwen3.7 Plus
LMArena Text: entertainment and media14221399Qwen3.7 Plus
LMArena Vision: English1280Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: Chinese1332Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: reading text1288Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: humor1261Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: creative writing1258Not measuredOnly Qwen3.7 Plus measured
LMArena Document1444Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.7 Plus and Beam 1.0 501B A23B
BenchmarkQwen3.7 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

Qwen3.7 Plus$0.0010Fits 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

Qwen3.7 Plus$0.020Fits in one request
Beam 1.0 501B A23B$0.021Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Qwen3.7 Plus$0.077Fits in one request
Beam 1.0 501B A23B$0.081Fits in one request

Qwen3.7 Plus 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 Qwen3.7 Plus and Beam 1.0 501B A23B
SpecificationQwen3.7 PlusReflection Beam 1.0 501B A23B
MakerQwenReflection
WeightsNo public weights listedOpen weights
ReleasedJune 3, 2026October 16, 2026
Context window1M1.05M
Input $/Mtok$0.32$0.35
Output $/Mtok$1.28$1.10
Coding index33.2Not benchmarked
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.7 Plus better than Beam 1.0 501B A23B for coding?

Only Qwen3.7 Plus has a coding score, 33.2 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 1.2x cheaper ($1.10 vs $1.28 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Qwen3.7 Plus or Beam 1.0 501B A23B?

Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; Beam 1.0 501B A23B costs $0.35 and $1.10. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.7 Plus or Beam 1.0 501B A23B?

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

How many benchmarks is the Qwen3.7 Plus vs Beam 1.0 501B A23B comparison based on?

25 benchmarks have a result for both models as of October 22, 2026. Qwen3.7 Plus'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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