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Qwen3.5-122B-A10B vs Qwen3.5 Plus 2026-04-20

Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20 cost about the same per output token ($2.08 vs $1.80 per million). Updated October 22, 2026; 3 benchmarks have a result for both.

Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
1
Qwen3.5 Plus 2026-04-20Qwen
Coding
39.5
Overall
No data
Output $/M
$1.80
1
vs boards won of 3 shared, 1 tied

Qwen3.5-122B-A10B or Qwen3.5 Plus 2026-04-20: which to pick

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-122B-A10B for work measured by DTBench, where it leads.

Shared results
3
Qwen3.5-122B-A10B only
48
Qwen3.5 Plus 2026-04-20 only
22
Like-for-like categories
2 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
Qwen3.5-122B-A10B not benchmarked, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category
General, 3.9 points apart on average over 2 shared benchmarks.
Widest single gap
LMCA: Qwen3.5-122B-A10B 32.2% against Qwen3.5 Plus 2026-04-20 36.4%, 4.1 points apart on a 0 to 100 scale.
Output price
Qwen3.5-122B-A10B $2.08 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 1.2x apart.
Context window
Qwen3.5-122B-A10B takes 262K tokens, Qwen3.5 Plus 2026-04-20 1M.

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-A10BBarsQwen3.5 Plus 2026-04-20Ties
Reasoning001 tie
General11
All shared boards111 tie
CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards, none shared
Coding benchmarks for Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
LMArena WebDev1361Not measuredOnly Qwen3.5-122B-A10B measured
AA Coding Index43.3Not measuredOnly Qwen3.5-122B-A10B measured
LiveCodeBench (Vals AI)Not measured85.3%Only Qwen3.5 Plus 2026-04-20 measured
SWE-bench Verified (Vals AI)Not measured71.2%Only Qwen3.5 Plus 2026-04-20 measured
Vibe Code Bench (Vals AI)Not measured15.7%Only Qwen3.5 Plus 2026-04-20 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
ALE-BenchNot measured608.9Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: coding1436Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: software and IT1436Not measuredOnly Qwen3.5-122B-A10B measured
LMArena WebDev: React1353Not measuredOnly Qwen3.5-122B-A10B measured
LMArena WebDev: HTML1351Not measuredOnly Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
AA Intelligence Index17.7Not measuredOnly Qwen3.5-122B-A10B measured
Epoch Capabilities IndexNot measured146.2Only Qwen3.5 Plus 2026-04-20 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
τ²-Bench Telecom93.6%Not measuredOnly Qwen3.5-122B-A10B measured
Vending-Bench 2Not measured$1Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index00
Reasoning benchmarks for Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
GPQA DiamondNot measured87.4%Only Qwen3.5 Plus 2026-04-20 measured
MMMU Pro (Vals AI)Not measured22.8%Only Qwen3.5 Plus 2026-04-20 measured
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
GPQA Diamond (Epoch AI run)Not measured84.8%Only Qwen3.5 Plus 2026-04-20 measured
Chess puzzlesNot measured8.0%Only Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzles17.0%17.0%Tie
LMArena Text: hard prompts1421Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: expert1431Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: hard prompts in English1431Not measuredOnly Qwen3.5-122B-A10B measured
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 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
AIMENot measured86.0%Only Qwen3.5 Plus 2026-04-20 measured
OTIS Mock AIMENot measured86.7%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: math1431Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: mathematical work1431Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
MMLU ProNot measured87.2%Only Qwen3.5 Plus 2026-04-20 measured
LegalBench (Vals AI)Not measured85.1%Only Qwen3.5 Plus 2026-04-20 measured
CaseLaw (Vals AI)Not measured59.7%Only Qwen3.5 Plus 2026-04-20 measured
CorpFin (Vals AI)Not measured65.3%Only Qwen3.5 Plus 2026-04-20 measured
MortgageTax (Vals AI)Not measured60.8%Only Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)Not measured95.2%Only Qwen3.5 Plus 2026-04-20 measured
SimpleQA VerifiedNot measured25.4%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: science1432Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: medicine and healthcare1423Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: legal and government1422Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: business and finance1414Not measuredOnly Qwen3.5-122B-A10B measured
Neither model has a result on the other 9 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for Qwen3.5-122B-A10B and Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
SAGE (Vals AI)Not measured30.4%Only Qwen3.5 Plus 2026-04-20 measured
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%80.5%Qwen3.5-122B-A10B
LMCA32.2%36.4%Qwen3.5 Plus 2026-04-20
CL-benchNot measured19.8%Only Qwen3.5 Plus 2026-04-20 measured
CL-bench LifeNot measured12.4%Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text1417Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: instruction following1399Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: creative writing1368Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Vision1244Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: English1428Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: non-English1401Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Chinese1463Not measuredOnly Qwen3.5-122B-A10B measured
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: French1443Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Spanish1425Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Russian1400Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: Polish1398Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: multi-turn1416Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: longer queries1410Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: writing and language1387Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: entertainment and media1366Not measuredOnly Qwen3.5-122B-A10B measured
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 18 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 Qwen3.5 Plus 2026-04-20
BenchmarkQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20Leader
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
Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

Qwen3.5 Plus 2026-04-20 costs less

Repository review

50K input + 3K output tokens

Qwen3.5-122B-A10B$0.019Fits in one request
Qwen3.5 Plus 2026-04-20$0.020Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-122B-A10B$0.073Fits in one request
Qwen3.5 Plus 2026-04-20$0.078Fits in one request

Qwen3.5-122B-A10B 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 Qwen3.5 Plus 2026-04-20
SpecificationQwen3.5-122B-A10BQwen3.5 Plus 2026-04-20
MakerQwenQwen
WeightsOpen weightsNo public weights listed
ReleasedFebruary 25, 2026April 27, 2026
Context window262K1M
Input $/Mtok$0.26$0.30
Output $/Mtok$2.08$1.80
Coding indexNot benchmarked39.5
Independent measurements behind it12
Cost per solved taskNot computable$1.35
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-122B-A10B better than Qwen3.5 Plus 2026-04-20 for coding?

Only Qwen3.5 Plus 2026-04-20 has a coding score, 39.5 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for work measured by DTBench, where it leads.

Which is cheaper, Qwen3.5-122B-A10B or Qwen3.5 Plus 2026-04-20?

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Cost per solved task is known for Qwen3.5 Plus 2026-04-20 only.

Which has the bigger context window, Qwen3.5-122B-A10B or Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus 2026-04-20, with 1M tokens against 262K.

How many benchmarks is the Qwen3.5-122B-A10B vs Qwen3.5 Plus 2026-04-20 comparison based on?

3 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-122B-A10B's coding index rests on 1 independent benchmark and Qwen3.5 Plus 2026-04-20's on 2. Where only one model has a result, the page says so instead of naming a winner.

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