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Qwen3.6 35B A3B vs Beam 1.0 501B A23B

Qwen3.6 35B A3B costs 1.2x less per output token than Beam 1.0 501B A23B ($1.00 vs $1.20 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Qwen3.6 35B A3B Replace Beam 1.0 501B A23B
Qwen3.6 35B A3BQwen
Coding
No data
Overall
45.0
Output $/M
$1.00
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.20
vs $1.00 vs $1.20 per 1M output tokens. Qwen3.6 35B A3B is 1.2x cheaper.

Qwen3.6 35B 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 Qwen3.6 35B A3B for output tokens 1.2x cheaper ($1.00 vs $1.20 per million).

Model AQwen3.6 35B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved taskModel BBeam 1.0 501B A23BReflectionNot benchmarked1 independent benchmarkNo cost per solved task

No benchmark has tested both yet. Qwen3.6 35B A3B has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Beam 1.0 501B A23B on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT. Compare them on price and context instead.

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 35B A3B not benchmarked, Beam 1.0 501B A23B not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Qwen3.6 35B A3B $1.00 against Beam 1.0 501B A23B $1.20 per million output tokens, 1.2x apart.
Context window
Qwen3.6 35B A3B takes 262K tokens, Beam 1.0 501B A23B 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index10 boards measured
Coding benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
AA Coding Index41.9Not measuredOnly Qwen3.6 35B A3B measured
SciCode36.6%Not measuredOnly Qwen3.6 35B A3B measured
Terminal-Bench Hard (Artificial Analysis run)34.8%Not measuredOnly Qwen3.6 35B A3B measured
Terminal-Bench24.6%Not measuredOnly Qwen3.6 35B A3B measured
WeirdML34.5%Not measuredOnly Qwen3.6 35B A3B 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: 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 33 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
AA Intelligence Index18.2Not measuredOnly Qwen3.6 35B A3B measured
Epoch Capabilities Index143.7Not measuredOnly Qwen3.6 35B A3B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
AA Agentic Index13.1Not measuredOnly Qwen3.6 35B A3B measured
τ²-Bench Telecom95.3%Not measuredOnly Qwen3.6 35B A3B measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Reasoning benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
GPQA Diamond (Artificial Analysis run)84.1%Not measuredOnly Qwen3.6 35B A3B measured
Humanity's Last Exam (Artificial Analysis run)22.2%Not measuredOnly Qwen3.6 35B A3B measured
GPQA Diamond (Epoch AI run)84.8%Not measuredOnly Qwen3.6 35B A3B measured
Mystery game puzzles22.0%Not measuredOnly Qwen3.6 35B A3B 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 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Math benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
OTIS Mock AIME86.7%Not measuredOnly Qwen3.6 35B A3B measured
FrontierMath, tiers 1 to 320.4%Not measuredOnly Qwen3.6 35B A3B 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 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
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 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Web design benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
Design Arena: websitesNot measured1245Only Beam 1.0 501B A23B measured
Design Arena: game devNot measured1220Only Beam 1.0 501B A23B measured
Neither model has a result on the other 7 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
General benchmarks for Qwen3.6 35B A3B and Beam 1.0 501B A23B
BenchmarkQwen3.6 35B A3BBeam 1.0 501B A23BLeader
IFBench64.4%Not measuredOnly Qwen3.6 35B A3B measured
Long context reasoning (AA-LCR)71.7%Not measuredOnly Qwen3.6 35B A3B measured
DTBench73.9%Not measuredOnly Qwen3.6 35B A3B measured
LMCA29.7%Not measuredOnly Qwen3.6 35B A3B measured
Surface Evolver Bench44.4%Not measuredOnly Qwen3.6 35B A3B 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 31 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 35B A3B$0.0006Fits in one request
Beam 1.0 501B A23B$0.0010Fits in one request

Qwen3.6 35B A3B costs less

Repository review

50K input + 3K output tokens

Qwen3.6 35B A3B$0.0080Fits in one request
Beam 1.0 501B A23B$0.024Fits in one request

Qwen3.6 35B A3B costs less

Agent loop

200K input + 10K output tokens

Qwen3.6 35B A3B$0.030Fits in one request
Beam 1.0 501B A23B$0.092Fits in one request

Qwen3.6 35B 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 Qwen3.6 35B A3B and Beam 1.0 501B A23B
SpecificationQwen3.6 35B A3BReflection Beam 1.0 501B A23B
MakerQwenReflection
WeightsOpen weightsOpen weights
ReleasedApril 27, 2026October 16, 2026
Context window262K1.05M
Input $/Mtok$0.10$0.40
Output $/Mtok$1.00$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.6 35B 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 Qwen3.6 35B A3B for output tokens 1.2x cheaper ($1.00 vs $1.20 per million).

Which is cheaper, Qwen3.6 35B A3B or Beam 1.0 501B A23B?

Qwen3.6 35B A3B costs $0.10 per million input tokens and $1.00 per million output tokens; Beam 1.0 501B A23B costs $0.40 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.6 35B A3B or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 262K.

Has any benchmark tested both Qwen3.6 35B A3B and Beam 1.0 501B A23B?

No benchmark has tested both yet. Qwen3.6 35B A3B has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Beam 1.0 501B A23B on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT. Compare them on price and context instead. Data as of October 22, 2026.

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