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Qwen3.5-122B-A10B vs Inkling Small

Inkling Small leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 25.7 to 17.7, and Inkling Small costs 1.7x less per output token ($1.20 vs $2.08 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
26
T Inkling SmallThinking Machines
Coding
27.3
Overall
43.6
Output $/M
$1.20
20
vs boards won of 46 shared

Qwen3.5-122B-A10B or Inkling Small: which to pick

Only Inkling Small has a coding score, 27.3 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 Mystery game puzzles or LMArena Text: hard prompts in English, where it leads.

Shared results
46
Qwen3.5-122B-A10B only
5
Inkling Small only
39
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
Qwen3.5-122B-A10B not benchmarked, Inkling Small 27.3 from 4 benchmarks.
Widest category
Intelligence, 8.0 points apart on average over 1 shared benchmark.
Widest single gap
Mystery game puzzles: Qwen3.5-122B-A10B 17.0% against Inkling Small 6.0%, 11.0 points apart on a 0 to 100 scale.
Output price
Qwen3.5-122B-A10B $2.08 against Inkling Small $1.20 per million output tokens, 1.7x apart.
Context window
Qwen3.5-122B-A10B takes 262K tokens, Inkling Small 524K.

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-A10BBarsInkling SmallTies
Coding07
Intelligence01
Reasoning35
Math02
Knowledge40
General195
All shared boards2620
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
LMArena WebDev13611409Inkling Small
AA Coding Index43.352.9Inkling Small
LiveCodeBench (Vals AI)Not measured85.9%Only Inkling Small measured
SWE-bench Verified (Vals AI)Not measured82.2%Only Inkling Small measured
Terminal-Bench 4 (Vals AI)Not measured0.0%Only Inkling Small measured
Vibe Code Bench (Vals AI)Not measured19.1%Only Inkling Small measured
Code migration (Vals AI)Not measured13.7%Only Inkling Small measured
ProgramBench (Vals AI)Not measured0.5%Only Inkling Small measured
IOI (Vals AI)Not measured9.3%Only Inkling Small measured
Terminal-Bench 2.1 (Vals AI)Not measured55.1%Only Inkling Small measured
SkillsBench (Vals AI)Not measured33.6%Only Inkling Small measured
CyberBench (Vals AI)Not measured64.1%Only Inkling Small measured
SciCode39.7%49.7%Inkling Small
Terminal-Bench Hard (Artificial Analysis run)31.1%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text: coding14361450Inkling Small
LMArena Text: software and IT14361447Inkling Small
LMArena WebDev: React13531399Inkling Small
LMArena WebDev: HTML13511398Inkling Small
LMArena WebDev: from an imageNot measured1410Only Inkling Small measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
AA Intelligence Index17.725.7Inkling Small
Epoch Capabilities IndexNot measured150.3Only Inkling Small measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
AA Agentic IndexNot measured23.5Only Inkling Small measured
Finance Agent (Vals AI)Not measured41.3%Only Inkling Small measured
Tax Agent Bench (Vals AI)Not measured15.4%Only Inkling Small measured
Legal Research Bench (Vals AI)Not measured25.5%Only Inkling Small measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured2.9%Only Inkling Small measured
Excel Modeling Benchmark (Vals AI)Not measured31.8%Only Inkling Small measured
τ²-Bench Telecom93.6%Not measuredOnly Qwen3.5-122B-A10B measured
MCP AtlasNot measured79.2%Only Inkling Small measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
Reasoning benchmarks for Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
GPQA DiamondNot measured83.6%Only Inkling Small measured
GPQA Diamond (Artificial Analysis run)85.7%89.5%Inkling Small
Humanity's Last Exam (Artificial Analysis run)25.2%33.3%Inkling Small
GPQA Diamond (Epoch AI run)Not measured88.5%Only Inkling Small measured
ARC-AGINot measured84.0%Only Inkling Small measured
ARC-AGI-2Not measured40.1%Only Inkling Small measured
Mystery game puzzles17.0%6.0%Qwen3.5-122B-A10B
LMArena Text: hard prompts14211423Inkling Small
LMArena Text: expert14311441Inkling Small
LMArena Text: hard prompts in English14311429Qwen3.5-122B-A10B
LMArena Vision: diagrams12491251Inkling Small
LMArena Vision: homework12611257Qwen3.5-122B-A10B
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
OTIS Mock AIMENot measured90.0%Only Inkling Small measured
FrontierMath, tiers 1 to 3Not measured46.3%Only Inkling Small measured
FrontierMath, tier 4Not measured17.1%Only Inkling Small measured
ProofBenchNot measured6.0%Only Inkling Small measured
LMArena Text: math14311459Inkling Small
LMArena Text: mathematical work14311441Inkling Small
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
MMLU ProNot measured85.6%Only Inkling Small measured
LegalBench (Vals AI)Not measured83.0%Only Inkling Small measured
CorpFin (Vals AI)Not measured69.6%Only Inkling Small measured
TaxEval (Vals AI)Not measured75.5%Only Inkling Small measured
MortgageTax (Vals AI)Not measured62.3%Only Inkling Small measured
MedCode (Vals AI)Not measured37.9%Only Inkling Small measured
SimpleQA VerifiedNot measured19.1%Only Inkling Small measured
LMArena Text: science14321428Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare14231413Qwen3.5-122B-A10B
LMArena Text: legal and government14221415Qwen3.5-122B-A10B
LMArena Text: business and finance14141413Qwen3.5-122B-A10B
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 Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index195
General benchmarks for Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
Vals IndexNot measured27.6%Only Inkling Small measured
Public Benefits Bench (Vals AI)Not measured59.4%Only Inkling Small measured
SAGE (Vals AI)Not measured32.7%Only Inkling Small measured
MedScribe (Vals AI)Not measured84.1%Only Inkling Small measured
Vals Multimodal IndexNot measured50.0%Only Inkling Small measured
IFBench75.7%Not measuredOnly Qwen3.5-122B-A10B measured
Long context reasoning (AA-LCR)76.3%75.7%Qwen3.5-122B-A10B
DTBench84.3%Not measuredOnly Qwen3.5-122B-A10B measured
LMCA32.2%Not measuredOnly Qwen3.5-122B-A10B measured
LMArena Text14171413Qwen3.5-122B-A10B
LMArena Text: instruction following13991399Qwen3.5-122B-A10B
LMArena Text: creative writing13681334Qwen3.5-122B-A10B
LMArena Vision12441237Qwen3.5-122B-A10B
LMArena Text: English14281421Qwen3.5-122B-A10B
LMArena Text: non-English14011401Inkling Small
LMArena Text: Chinese14631464Inkling Small
LMArena Text: German14251408Qwen3.5-122B-A10B
LMArena Text: Japanese13671401Inkling Small
LMArena Text: Korean13531367Inkling Small
LMArena Text: French14431435Qwen3.5-122B-A10B
LMArena Text: Spanish14251422Qwen3.5-122B-A10B
LMArena Text: Russian14001394Qwen3.5-122B-A10B
LMArena Text: Polish13981428Inkling Small
LMArena Text: multi-turn14161416Qwen3.5-122B-A10B
LMArena Text: longer queries14101402Qwen3.5-122B-A10B
LMArena Text: writing and language13871357Qwen3.5-122B-A10B
LMArena Text: entertainment and media13661352Qwen3.5-122B-A10B
LMArena Vision: English12491243Qwen3.5-122B-A10B
LMArena Vision: Chinese13011292Qwen3.5-122B-A10B
LMArena Vision: reading text12511243Qwen3.5-122B-A10B
LMArena Vision: humor12431207Qwen3.5-122B-A10B
LMArena Vision: creative writing12201205Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B and Inkling Small
BenchmarkQwen3.5-122B-A10BInkling SmallLeader
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
Inkling Small$0.0010Fits in one request

Inkling Small costs less

Repository review

50K input + 3K output tokens

Qwen3.5-122B-A10B$0.019Fits in one request
Inkling Small$0.026Fits 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
Inkling Small$0.102Fits 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 Inkling Small
SpecificationQwen3.5-122B-A10BThinking Machines Inkling Small
MakerQwenThinking Machines
WeightsOpen weightsOpen weights
ReleasedFebruary 25, 2026July 30, 2026
Context window262K524K
Input $/Mtok$0.26$0.45
Output $/Mtok$2.08$1.20
Coding indexNot benchmarked27.3
Independent measurements behind it14
Cost per solved taskNot computable$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-122B-A10B better than Inkling Small for coding?

Only Inkling Small has a coding score, 27.3 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 Mystery game puzzles or LMArena Text: hard prompts in English, where it leads.

Which is cheaper, Qwen3.5-122B-A10B or Inkling Small?

Qwen3.5-122B-A10B costs $0.26 per million input tokens and $2.08 per million output tokens; Inkling Small costs $0.45 and $1.20. Cost per solved task is known for Inkling Small only.

Which has the bigger context window, Qwen3.5-122B-A10B or Inkling Small?

Inkling Small, with 524K tokens against 262K.

How many benchmarks is the Qwen3.5-122B-A10B vs Inkling Small comparison based on?

46 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 Inkling Small's on 4. Where only one model has a result, the page says so instead of naming a winner.

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