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Qwen3 30B A3B vs Beam 1.0 501B A23B

Qwen3 30B A3B costs 2.2x less per output token than Beam 1.0 501B A23B ($0.50 vs $1.10 per million). Updated October 22, 2026; 25 benchmarks have a result for both.

Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
0
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
25
vs boards won of 25 shared

Qwen3 30B A3B or Beam 1.0 501B A23B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Qwen3 30B A3B for output tokens 2.2x cheaper ($0.50 vs $1.10 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
25
Qwen3 30B A3B only
27
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 30B A3B not benchmarked, Beam 1.0 501B A23B not benchmarked.
Widest category
Web design, 38.9 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: game dev: Qwen3 30B A3B 898 against Beam 1.0 501B A23B 1224, 40.8 points apart on a 0 to 100 scale.
Output price
Qwen3 30B A3B $0.50 against Beam 1.0 501B A23B $1.10 per million output tokens, 2.2x apart.
Context window
Qwen3 30B A3B takes 41K 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 30B A3BBarsBeam 1.0 501B A23BTies
Coding02
Reasoning03
Math02
Knowledge04
Web design02
General012
All shared boards025
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
LiveCodeBench (Artificial Analysis run)50.6%Not measuredOnly Qwen3 30B A3B measured
Terminal-Bench Hard (Artificial Analysis run)6.8%Not measuredOnly Qwen3 30B A3B measured
WeirdML29.8%Not measuredOnly Qwen3 30B A3B measured
LMArena Text: coding13371473Beam 1.0 501B A23B
LMArena Text: software and IT13401461Beam 1.0 501B A23B
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 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
AA Intelligence Index7.6Not measuredOnly Qwen3 30B A3B measured
Epoch Capabilities Index137.3Not measuredOnly Qwen3 30B A3B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
τ²-Bench Telecom26.0%Not measuredOnly Qwen3 30B A3B measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
GPQA Diamond (Artificial Analysis run)61.6%Not measuredOnly Qwen3 30B A3B measured
Humanity's Last Exam (Artificial Analysis run)6.2%Not measuredOnly Qwen3 30B A3B measured
GPQA Diamond (Epoch AI run)61.7%Not measuredOnly Qwen3 30B A3B measured
LMArena Text: hard prompts13141442Beam 1.0 501B A23B
LMArena Text: expert13141447Beam 1.0 501B A23B
LMArena Text: hard prompts in English13291451Beam 1.0 501B A23B
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
AA Math Index72.3Not measuredOnly Qwen3 30B A3B measured
AIME 2025 (Artificial Analysis run)72.3%Not measuredOnly Qwen3 30B A3B measured
OTIS Mock AIME62.8%Not measuredOnly Qwen3 30B A3B measured
LMArena Text: math13551459Beam 1.0 501B A23B
LMArena Text: mathematical work13631475Beam 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 index04
Knowledge benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
MMLU Pro (Artificial Analysis run)77.7%Not measuredOnly Qwen3 30B A3B measured
LMArena Text: science13211430Beam 1.0 501B A23B
LMArena Text: medicine and healthcare13181376Beam 1.0 501B A23B
LMArena Text: legal and government13141433Beam 1.0 501B A23B
LMArena Text: business and finance13091430Beam 1.0 501B A23B
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index02
Web design benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
Design Arena: websites9541250Beam 1.0 501B A23B
Design Arena: UI components943Not measuredOnly Qwen3 30B A3B measured
Design Arena: game dev8981224Beam 1.0 501B A23B
Design Arena: data viz967Not measuredOnly Qwen3 30B A3B measured
Design Arena: all code categories941Not measuredOnly Qwen3 30B A3B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 1.0 501B A23BLeader
IFBench41.5%Not measuredOnly Qwen3 30B A3B measured
Long context reasoning (AA-LCR)0.0%Not measuredOnly Qwen3 30B A3B measured
DTBench60.3%Not measuredOnly Qwen3 30B A3B measured
LMCA15.8%Not measuredOnly Qwen3 30B A3B measured
Fiction.LiveBench40.6%Not measuredOnly Qwen3 30B A3B measured
Creative writing (Lech Mazur)75.3%Not measuredOnly Qwen3 30B A3B measured
LMArena Text13171425Beam 1.0 501B A23B
LMArena Text: instruction following12831430Beam 1.0 501B A23B
LMArena Text: creative writing12711390Beam 1.0 501B A23B
LMArena Text: English13351436Beam 1.0 501B A23B
LMArena Text: non-English12951413Beam 1.0 501B A23B
LMArena Text: Chinese13471424Beam 1.0 501B A23B
LMArena Text: German1307Not measuredOnly Qwen3 30B A3B measured
LMArena Text: Japanese1254Not measuredOnly Qwen3 30B A3B measured
LMArena Text: Korean1261Not measuredOnly Qwen3 30B A3B measured
LMArena Text: French13521461Beam 1.0 501B A23B
LMArena Text: Spanish1317Not measuredOnly Qwen3 30B A3B measured
LMArena Text: Russian12911412Beam 1.0 501B A23B
LMArena Text: Polish1299Not measuredOnly Qwen3 30B A3B measured
LMArena Text: multi-turn13071414Beam 1.0 501B A23B
LMArena Text: longer queries13121429Beam 1.0 501B A23B
LMArena Text: writing and language12901400Beam 1.0 501B A23B
LMArena Text: entertainment and media12581399Beam 1.0 501B A23B
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3 30B A3B and Beam 1.0 501B A23B
BenchmarkQwen3 30B A3BBeam 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 30B A3B$0.0004Fits in one request
Beam 1.0 501B A23B$0.0009Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

Qwen3 30B A3B$0.0075Exceeds the context window
Beam 1.0 501B A23B$0.021Fits in one request

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

Qwen3 30B A3B$0.029Exceeds the context window
Beam 1.0 501B A23B$0.081Fits in one request

Qwen3 30B A3B 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 30B A3B and Beam 1.0 501B A23B
SpecificationQwen3 30B A3BReflection Beam 1.0 501B A23B
MakerQwenReflection
WeightsOpen weightsOpen weights
ReleasedApril 28, 2025October 16, 2026
Context window41K1.05M
Input $/Mtok$0.12$0.35
Output $/Mtok$0.50$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3 30B A3B better than Beam 1.0 501B A23B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for output tokens 2.2x cheaper ($0.50 vs $1.10 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Qwen3 30B A3B or Beam 1.0 501B A23B?

Qwen3 30B A3B costs $0.12 per million input tokens and $0.50 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 30B A3B or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 41K.

How many benchmarks is the Qwen3 30B A3B vs Beam 1.0 501B A23B comparison based on?

25 benchmarks have a result for both models as of October 22, 2026. Qwen3 30B A3B's coding index rests on 0 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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