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Qwen3.8 2.4T A95B vs Inkling Small

Qwen3.8 2.4T A95B leads Inkling Small on the Artificial Analysis Intelligence Index, 39.9 to 25.7, and Inkling Small costs 5.0x less per output token ($1.20 vs $6.00 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Qwen3.8 2.4T A95BQwen
Coding
No data
Overall
No data
Output $/M
$6.00
7
T Inkling SmallThinking Machines
Coding
27.3
Overall
43.6
Output $/M
$1.20
0
vs boards won of 7 shared

Qwen3.8 2.4T A95B or Inkling Small: which to pick

Only Inkling Small has a coding score, 27.3 on the Vibe Coding Index; Qwen3.8 2.4T A95B has none, so the two cannot be ranked on coding.

Pick Qwen3.8 2.4T A95B for a larger context window (1.05M against 524K tokens) and work measured by AA Coding Index or SciCode, where it leads.

Shared results
7
Qwen3.8 2.4T A95B only
0
Inkling Small only
77
Like-for-like categories
5 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
Qwen3.8 2.4T A95B not benchmarked, Inkling Small 27.3 from 4 benchmarks.
Widest category
Agentic work, 26.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Agentic Index: Qwen3.8 2.4T A95B 50.1 against Inkling Small 23.5, 26.6 points apart on a 0 to 100 scale.
Output price
Qwen3.8 2.4T A95B $6.00 against Inkling Small $1.20 per million output tokens, 5.0x apart.
Context window
Qwen3.8 2.4T A95B takes 1.05M 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
CategoryQwen3.8 2.4T A95BBarsInkling SmallTies
Coding20
Intelligence10
Agentic work10
Reasoning20
General10
All shared boards70
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling SmallLeader
LMArena WebDevNot measured1409Only Inkling Small measured
AA Coding Index71.952.9Qwen3.8 2.4T A95B
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
SciCode54.1%49.7%Qwen3.8 2.4T A95B
LMArena Text: codingNot measured1450Only Inkling Small measured
LMArena Text: software and ITNot measured1447Only Inkling Small measured
LMArena WebDev: ReactNot measured1399Only Inkling Small measured
LMArena WebDev: HTMLNot measured1398Only Inkling Small measured
LMArena WebDev: from an imageNot measured1410Only Inkling Small measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling SmallLeader
AA Intelligence Index39.925.7Qwen3.8 2.4T A95B
Epoch Capabilities IndexNot measured150.3Only Inkling Small measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling SmallLeader
AA Agentic Index50.123.5Qwen3.8 2.4T A95B
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
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling SmallLeader
GPQA DiamondNot measured83.6%Only Inkling Small measured
GPQA Diamond (Artificial Analysis run)93.5%89.5%Qwen3.8 2.4T A95B
Humanity's Last Exam (Artificial Analysis run)42.4%33.3%Qwen3.8 2.4T A95B
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 puzzlesNot measured6.0%Only Inkling Small measured
LMArena Text: hard promptsNot measured1423Only Inkling Small measured
LMArena Text: expertNot measured1441Only Inkling Small measured
LMArena Text: hard prompts in EnglishNot measured1429Only Inkling Small measured
LMArena Vision: diagramsNot measured1251Only Inkling Small measured
LMArena Vision: homeworkNot measured1257Only Inkling Small measured
Neither model has a result on the other 10 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling 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: mathNot measured1459Only Inkling Small measured
LMArena Text: mathematical workNot measured1441Only Inkling Small measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Knowledge benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling 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: scienceNot measured1428Only Inkling Small measured
LMArena Text: medicine and healthcareNot measured1413Only Inkling Small measured
LMArena Text: legal and governmentNot measured1415Only Inkling Small measured
LMArena Text: business and financeNot measured1413Only Inkling Small measured
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling SmallLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling 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
Long context reasoning (AA-LCR)80.3%75.7%Qwen3.8 2.4T A95B
LMArena TextNot measured1413Only Inkling Small measured
LMArena Text: instruction followingNot measured1399Only Inkling Small measured
LMArena Text: creative writingNot measured1334Only Inkling Small measured
LMArena VisionNot measured1237Only Inkling Small measured
LMArena Text: EnglishNot measured1421Only Inkling Small measured
LMArena Text: non-EnglishNot measured1401Only Inkling Small measured
LMArena Text: ChineseNot measured1464Only Inkling Small measured
LMArena Text: GermanNot measured1408Only Inkling Small measured
LMArena Text: JapaneseNot measured1401Only Inkling Small measured
LMArena Text: KoreanNot measured1367Only Inkling Small measured
LMArena Text: FrenchNot measured1435Only Inkling Small measured
LMArena Text: SpanishNot measured1422Only Inkling Small measured
LMArena Text: RussianNot measured1394Only Inkling Small measured
LMArena Text: PolishNot measured1428Only Inkling Small measured
LMArena Text: multi-turnNot measured1416Only Inkling Small measured
LMArena Text: longer queriesNot measured1402Only Inkling Small measured
LMArena Text: writing and languageNot measured1357Only Inkling Small measured
LMArena Text: entertainment and mediaNot measured1352Only Inkling Small measured
LMArena Vision: EnglishNot measured1243Only Inkling Small measured
LMArena Vision: ChineseNot measured1292Only Inkling Small measured
LMArena Vision: reading textNot measured1243Only Inkling Small measured
LMArena Vision: humorNot measured1207Only Inkling Small measured
LMArena Vision: creative writingNot measured1205Only Inkling Small measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.8 2.4T A95B and Inkling Small
BenchmarkQwen3.8 2.4T A95BInkling 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

Qwen3.8 2.4T A95B$0.0050Fits in one request
Inkling Small$0.0010Fits in one request

Inkling Small costs less

Repository review

50K input + 3K output tokens

Qwen3.8 2.4T A95B$0.118Fits in one request
Inkling Small$0.026Fits in one request

Inkling Small costs less

Agent loop

200K input + 10K output tokens

Qwen3.8 2.4T A95B$0.460Fits in one request
Inkling Small$0.102Fits in one request

Inkling Small 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 Qwen3.8 2.4T A95B and Inkling Small
SpecificationQwen3.8 2.4T A95BThinking Machines Inkling Small
MakerQwenThinking Machines
WeightsOpen weightsOpen weights
ReleasedAugust 12, 2026July 30, 2026
Context window1.05M524K
Input $/Mtok$2.00$0.45
Output $/Mtok$6.00$1.20
Coding indexNot benchmarked27.3
Independent measurements behind it04
Cost per solved taskNot computable$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.8 2.4T A95B better than Inkling Small for coding?

Only Inkling Small has a coding score, 27.3 on the Vibe Coding Index; Qwen3.8 2.4T A95B has none, so the two cannot be ranked on coding. Pick Qwen3.8 2.4T A95B for a larger context window (1.05M against 524K tokens) and work measured by AA Coding Index or SciCode, where it leads.

Which is cheaper, Qwen3.8 2.4T A95B or Inkling Small?

Qwen3.8 2.4T A95B costs $2.00 per million input tokens and $6.00 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, Qwen3.8 2.4T A95B or Inkling Small?

Qwen3.8 2.4T A95B, with 1.05M tokens against 524K.

How many benchmarks is the Qwen3.8 2.4T A95B vs Inkling Small comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. Qwen3.8 2.4T A95B's coding index rests on 0 independent benchmarks 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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