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-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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Inkling Small has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Inkling Small
Inkling Small leads, 25.7 against 17.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Inkling Small has a AA Agentic Index result, 23.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Inkling Small has a GPQA Diamond result, 83.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Inkling Small has a MMLU Pro result, 85.6%.
Directional only
General
Vals Index
No call
Only Inkling Small has a Vals Index result, 27.6%.
Directional only
Long documents
Listed context window
Inkling Small
Inkling Small takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling Small
Qwen3.5-122B-A10B $0.0013, Inkling Small $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Inkling Small has the number, $0.16.
Directional only
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.
| Category | Qwen3.5-122B-A10B | Bars | Inkling Small | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 0 | ||
| General | 19 | 5 | ||
| All shared boards | 26 | 20 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| LMArena WebDev | 1361 | 1409 | Inkling Small |
| AA Coding Index | 43.3 | 52.9 | Inkling Small |
| LiveCodeBench (Vals AI) | Not measured | 85.9% | Only Inkling Small measured |
| SWE-bench Verified (Vals AI) | Not measured | 82.2% | Only Inkling Small measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.0% | Only Inkling Small measured |
| Vibe Code Bench (Vals AI) | Not measured | 19.1% | Only Inkling Small measured |
| Code migration (Vals AI) | Not measured | 13.7% | Only Inkling Small measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Inkling Small measured |
| IOI (Vals AI) | Not measured | 9.3% | Only Inkling Small measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 55.1% | Only Inkling Small measured |
| SkillsBench (Vals AI) | Not measured | 33.6% | Only Inkling Small measured |
| CyberBench (Vals AI) | Not measured | 64.1% | Only Inkling Small measured |
| SciCode | 39.7% | 49.7% | Inkling Small |
| Terminal-Bench Hard (Artificial Analysis run) | 31.1% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text: coding | 1436 | 1450 | Inkling Small |
| LMArena Text: software and IT | 1436 | 1447 | Inkling Small |
| LMArena WebDev: React | 1353 | 1399 | Inkling Small |
| LMArena WebDev: HTML | 1351 | 1398 | Inkling Small |
| LMArena WebDev: from an image | Not measured | 1410 | Only 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
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| AA Intelligence Index | 17.7 | 25.7 | Inkling Small |
| Epoch Capabilities Index | Not measured | 150.3 | Only Inkling Small measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 23.5 | Only Inkling Small measured |
| Finance Agent (Vals AI) | Not measured | 41.3% | Only Inkling Small measured |
| Tax Agent Bench (Vals AI) | Not measured | 15.4% | Only Inkling Small measured |
| Legal Research Bench (Vals AI) | Not measured | 25.5% | Only Inkling Small measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 2.9% | Only Inkling Small measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 31.8% | Only Inkling Small measured |
| τ²-Bench Telecom | 93.6% | Not measured | Only Qwen3.5-122B-A10B measured |
| MCP Atlas | Not measured | 79.2% | 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
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 83.6% | 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 measured | 88.5% | Only Inkling Small measured |
| ARC-AGI | Not measured | 84.0% | Only Inkling Small measured |
| ARC-AGI-2 | Not measured | 40.1% | Only Inkling Small measured |
| Mystery game puzzles | 17.0% | 6.0% | Qwen3.5-122B-A10B |
| LMArena Text: hard prompts | 1421 | 1423 | Inkling Small |
| LMArena Text: expert | 1431 | 1441 | Inkling Small |
| LMArena Text: hard prompts in English | 1431 | 1429 | Qwen3.5-122B-A10B |
| LMArena Vision: diagrams | 1249 | 1251 | Inkling Small |
| LMArena Vision: homework | 1261 | 1257 | Qwen3.5-122B-A10B |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 90.0% | Only Inkling Small measured |
| FrontierMath, tiers 1 to 3 | Not measured | 46.3% | Only Inkling Small measured |
| FrontierMath, tier 4 | Not measured | 17.1% | Only Inkling Small measured |
| ProofBench | Not measured | 6.0% | Only Inkling Small measured |
| LMArena Text: math | 1431 | 1459 | Inkling Small |
| LMArena Text: mathematical work | 1431 | 1441 | Inkling Small |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.6% | Only Inkling Small measured |
| LegalBench (Vals AI) | Not measured | 83.0% | Only Inkling Small measured |
| CorpFin (Vals AI) | Not measured | 69.6% | Only Inkling Small measured |
| TaxEval (Vals AI) | Not measured | 75.5% | Only Inkling Small measured |
| MortgageTax (Vals AI) | Not measured | 62.3% | Only Inkling Small measured |
| MedCode (Vals AI) | Not measured | 37.9% | Only Inkling Small measured |
| SimpleQA Verified | Not measured | 19.1% | Only Inkling Small measured |
| LMArena Text: science | 1432 | 1428 | Qwen3.5-122B-A10B |
| LMArena Text: medicine and healthcare | 1423 | 1413 | Qwen3.5-122B-A10B |
| LMArena Text: legal and government | 1422 | 1415 | Qwen3.5-122B-A10B |
| LMArena Text: business and finance | 1414 | 1413 | Qwen3.5-122B-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
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index195
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| Vals Index | Not measured | 27.6% | Only Inkling Small measured |
| Public Benefits Bench (Vals AI) | Not measured | 59.4% | Only Inkling Small measured |
| SAGE (Vals AI) | Not measured | 32.7% | Only Inkling Small measured |
| MedScribe (Vals AI) | Not measured | 84.1% | Only Inkling Small measured |
| Vals Multimodal Index | Not measured | 50.0% | Only Inkling Small measured |
| IFBench | 75.7% | Not measured | Only Qwen3.5-122B-A10B measured |
| Long context reasoning (AA-LCR) | 76.3% | 75.7% | Qwen3.5-122B-A10B |
| DTBench | 84.3% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMCA | 32.2% | Not measured | Only Qwen3.5-122B-A10B measured |
| LMArena Text | 1417 | 1413 | Qwen3.5-122B-A10B |
| LMArena Text: instruction following | 1399 | 1399 | Qwen3.5-122B-A10B |
| LMArena Text: creative writing | 1368 | 1334 | Qwen3.5-122B-A10B |
| LMArena Vision | 1244 | 1237 | Qwen3.5-122B-A10B |
| LMArena Text: English | 1428 | 1421 | Qwen3.5-122B-A10B |
| LMArena Text: non-English | 1401 | 1401 | Inkling Small |
| LMArena Text: Chinese | 1463 | 1464 | Inkling Small |
| LMArena Text: German | 1425 | 1408 | Qwen3.5-122B-A10B |
| LMArena Text: Japanese | 1367 | 1401 | Inkling Small |
| LMArena Text: Korean | 1353 | 1367 | Inkling Small |
| LMArena Text: French | 1443 | 1435 | Qwen3.5-122B-A10B |
| LMArena Text: Spanish | 1425 | 1422 | Qwen3.5-122B-A10B |
| LMArena Text: Russian | 1400 | 1394 | Qwen3.5-122B-A10B |
| LMArena Text: Polish | 1398 | 1428 | Inkling Small |
| LMArena Text: multi-turn | 1416 | 1416 | Qwen3.5-122B-A10B |
| LMArena Text: longer queries | 1410 | 1402 | Qwen3.5-122B-A10B |
| LMArena Text: writing and language | 1387 | 1357 | Qwen3.5-122B-A10B |
| LMArena Text: entertainment and media | 1366 | 1352 | Qwen3.5-122B-A10B |
| LMArena Vision: English | 1249 | 1243 | Qwen3.5-122B-A10B |
| LMArena Vision: Chinese | 1301 | 1292 | Qwen3.5-122B-A10B |
| LMArena Vision: reading text | 1251 | 1243 | Qwen3.5-122B-A10B |
| LMArena Vision: humor | 1243 | 1207 | Qwen3.5-122B-A10B |
| LMArena Vision: creative writing | 1220 | 1205 | Qwen3.5-122B-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
| Benchmark | Qwen3.5-122B-A10B | Inkling Small | Leader |
|---|---|---|---|
| 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
Inkling Small costs less
Repository review
50K input + 3K output tokens
Qwen3.5-122B-A10B costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | Qwen3.5-122B-A10B | Thinking Machines Inkling Small |
|---|---|---|
| Maker | Qwen | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | February 25, 2026 | July 30, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.26 | $0.45 |
| Output $/Mtok | $2.08 | $1.20 |
| Coding index | Not benchmarked | 27.3 |
| Independent measurements behind it | 1 | 4 |
| Cost per solved task | Not computable | $0.16 |
| Source | OpenRouter listing | OpenRouter 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.