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Qwen3.5-122B-A10B vs Beam 1.0 501B A23B

Updated October 21, 2026. 26 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Qwen3.5-122B-A10B Replace Beam 1.0 501B A23B
Qwen3.5-122B-A10BQwen
Coding
22.9
Overall
17.7
Output $/M
$2.08
4
R Beam 1.0 501B A23BReflection
Coding
33.8
Overall
No data
Output $/M
$1.00
22
vs boards won of 26 shared

Decision reading

Pick Beam 1.0 501B A23B for coding: it scores 33.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B.

Pick Qwen3.5-122B-A10B when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Model AQwen3.5-122B-A10BQwen22.9/1001 independent benchmarkNo cost per solved taskModel BBeam 1.0 501B A23BReflection33.8/1001 independent benchmarkNo cost per solved task
Shared results
26
Qwen3.5-122B-A10B only
25
Beam 1.0 501B A23B only
2
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Qwen3.5-122B-A10B 22.9 from 1 benchmark, Beam 1.0 501B A23B 33.8 from 1 benchmark.
Widest category
Coding, 10.0 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: React: Qwen3.5-122B-A10B 1353 against Beam 1.0 501B A23B 1443, 15.0 points apart on a 0 to 100 scale.
Output price
Qwen3.5-122B-A10B $2.08 against Beam 1.0 501B A23B $1.00 per million output tokens, 2.1x apart.
Context window
Qwen3.5-122B-A10B takes 262K 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
CategoryQwen3.5-122B-A10BBarsBeam 1.0 501B A23BTies
Coding05
Reasoning03
Math02
Knowledge22
General210
All shared boards422
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
LMArena WebDev13611437Beam 1.0 501B A23B
AA Coding Index43.3Not measuredOnly Qwen3.5-122B-A10B measured
SciCode39.7%Not measuredOnly Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)31.1%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: coding14361473Beam 1.0 501B A23B
LMArena Text: software and IT14361461Beam 1.0 501B A23B
LMArena WebDev: React13531443Beam 1.0 501B A23B
LMArena WebDev: HTML13511436Beam 1.0 501B A23B
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
AA Intelligence Index17.7Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
τ²-Bench Telecom93.6%Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
GPQA Diamond (Artificial Analysis run)85.7%Not measuredOnly Qwen3.5-122B-A10B measured
Humanity's Last Exam (Artificial Analysis run)25.2%Not measuredOnly Qwen3.5-122B-A10B measured
Mystery game puzzles17.0%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: hard prompts14211442Beam 1.0 501B A23B
LMArena Text: expert14311447Beam 1.0 501B A23B
LMArena Text: hard prompts in English14311451Beam 1.0 501B A23B
LMArena Vision: diagrams1249Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: homework1261Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
LMArena Text: math14311459Beam 1.0 501B A23B
LMArena Text: mathematical work14311475Beam 1.0 501B A23B
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
LMArena Text: science14321430Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare14231376Qwen3.5-122B-A10B
LMArena Text: legal and government14221433Beam 1.0 501B A23B
LMArena Text: business and finance14141430Beam 1.0 501B A23B
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Web design benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
Design Arena: websitesNot measured1253Only Beam 1.0 501B A23B measured
Design Arena: game devNot measured1222Only Beam 1.0 501B A23B measured
Neither model has a result on the other 7 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 1.0 501B A23BLeader
IFBench75.7%Not measuredOnly Qwen3.5-122B-A10B measured
Long context reasoning (AA-LCR)76.3%Not measuredOnly Qwen3.5-122B-A10B measured
DTBench84.3%Not measuredOnly Qwen3.5-122B-A10B measured
LMCA32.2%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text14171425Beam 1.0 501B A23B
LMArena Text: instruction following13991430Beam 1.0 501B A23B
LMArena Text: creative writing13681390Beam 1.0 501B A23B
LMArena Vision1244Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: English14281436Beam 1.0 501B A23B
LMArena Text: non-English14011413Beam 1.0 501B A23B
LMArena Text: Chinese14631424Qwen3.5-122B-A10B
LMArena Text: German1425Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Japanese1367Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Korean1353Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: French14431461Beam 1.0 501B A23B
LMArena Text: Spanish1425Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Russian14001412Beam 1.0 501B A23B
LMArena Text: Polish1398Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: multi-turn14161414Qwen3.5-122B-A10B
LMArena Text: longer queries14101429Beam 1.0 501B A23B
LMArena Text: writing and language13871400Beam 1.0 501B A23B
LMArena Text: entertainment and media13661399Beam 1.0 501B A23B
LMArena Vision: English1249Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: Chinese1301Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: reading text1251Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: humor1243Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision: creative writing1220Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-122B-A10B and Beam 1.0 501B A23B
BenchmarkQwen3.5-122B-A10BBeam 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

Qwen3.5-122B-A10B$0.0013Fits in one request
Beam 1.0 501B A23B$0.0008Fits in one request

Beam 1.0 501B A23B costs less

Repository review

50K input + 3K output tokens

Qwen3.5-122B-A10B$0.019Fits in one request
Beam 1.0 501B A23B$0.018Fits in one request

Beam 1.0 501B A23B costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-122B-A10B$0.073Fits in one request
Beam 1.0 501B A23B$0.070Fits 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 Qwen3.5-122B-A10B and Beam 1.0 501B A23B
SpecificationQwen3.5-122B-A10BReflection Beam 1.0 501B A23B
MakerQwenReflection
WeightsOpen weightsOpen weights
ReleasedFebruary 25, 2026October 16, 2026
Context window262K1.05M
Input $/Mtok$0.26$0.30
Output $/Mtok$2.08$1.00
Coding index22.933.8
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-122B-A10B better than Beam 1.0 501B A23B for coding?

Pick Beam 1.0 501B A23B for coding: it scores 33.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B. Pick Qwen3.5-122B-A10B when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Qwen3.5-122B-A10B or Beam 1.0 501B A23B?

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens; Beam 1.0 501B A23B costs $0.30 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.5-122B-A10B or Beam 1.0 501B A23B?

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

How many benchmarks is the Qwen3.5-122B-A10B vs Beam 1.0 501B A23B comparison based on?

26 benchmarks have a result for both models as of October 21, 2026. Qwen3.5-122B-A10B's coding index rests on 1 independent benchmark 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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