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Inkling Small

open weights
Thinking Machines · released 2026-07-30 · 2 offers

Output 206 tokens/sFirst token 1.5 sContext 1M tokens

Top 1 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

#ProviderAdjusted $/task
1DeepInfravia OpenRouter — Price via OpenRouter: OpenRouter's price for DeepInfra's endpoint (https://openrouter.ai/thinkingmachines/inkling-small/providers), collected 2026-11-03.

Composite

3 of 7 inputs · 1 from the model family6 radar axes: DesignArena's two boards share one

34.3

AA Coding v4.xCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaAA Coding v4.x: percentile 61AA Intelligence: percentile 75AA Agentic: percentile 65Epoch ECI: percentile 45

AA Coding v4.x 52.9Coding Agent v1.4 —AA Intelligence 12.9AA Agentic 25.0Epoch ECI 150.5Software ECI —DesignArena —/—

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

33 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

Composite attachments (used in the score, not counted as exact benchmarks):
  • Epoch ECI · attached
Compare this model →

Agentic

  • AA-AnalystAgent5227.5%

    AA-AnalystAgent published 2026-09-10 → · Published board — Tests analyst tasks using agentic Python execution across fourteen domains.

  • AA-Briefcase45912 Elo

    AA-Briefcase published 2026-09-10 → · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

  • GDPval-AA v2641,191 Elo

    GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench v2.1 (AA)5455.1%

    Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Terminal-Bench v4.0 (AA)471.0%

    Terminal-Bench v4.0 (AA) v4.0 → · Published board — Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

  • τ²-Bench Airline (OpenRouter run)3160.9%

    τ²-Bench Airline (OpenRouter run) published 2026-09-15 → · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)

  • Finance Agent v2 (Vals Index v2)1141.3%

    Finance Agent v2 (Vals Index v2) v2 → · Published board — Multi-step financial reasoning tasks.

  • HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)151.7%

    HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) v2 → · Published board — Long-horizon legal work product creation. The index column is Harvey's Legal Agent Benchmark's own published standalone score, reported as accuracy — not comparable with Artificial Analysis' Harvey LAB-AA row.

  • Terminal-Bench 2.1 (Vals Index v2)1555.1%

    Terminal-Bench 2.1 (Vals Index v2) v2 → · Published board — Command-line interface problem solving; the page states that each index column is that benchmark's own published standalone score, so the runner is not asserted here.

  • Vals Index v2 (Vals AI)531.9%

    Vals Index v2 (Vals AI) v2 → · Published board — GDP-weighted average of agentic model performance across finance, coding and legal tasks.

  • AA Agentic Index6525.0

    AA Agentic Index published 2026-09-18 → · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Coding

  • SciCode (AA subproblems) v1.0.15249.7%

    SciCode (AA subproblems) v1.0.1 → · Published board — Tests scientific Python programming with scientist-annotated background information.

  • Code Migration (Vals Index v2 subset)813.3%

    Code Migration (Vals Index v2 subset) v2 → · Published board — Porting projects to another language, including COBOL modernization.

  • Vibe Code Bench (Vals Index v2)319.1%

    Vibe Code Bench (Vals Index v2) v2 → · Published board — End-to-end app-building tasks.

  • AA Coding Index v4.x · frozen 2026-10-276152.9

    AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).

Efficiency

Knowledge

Long-context

  • GDP.pdf (AA)5011.2%

    GDP.pdf (AA) published 2026-09-10 → · Published board — Tests professional reasoning over long PDFs with AA document preparation and grading.

  • AA-LCR v1.17775.7%

    AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

  • Context Arena — MRCR v2 (8-needle)016.6%

    Context Arena — MRCR v2 (8-needle) 8-needle → · Published board — The model must find and reproduce the right one of eight near-identical earlier replies hidden in a long conversation, averaged over context lengths from 8k to 128k tokens.

Reasoning

  • AA Intelligence Index v5.0 · snapshot-2026-11-031412.9

    AA Intelligence Index v5.0 · snapshot-2026-11-03 → · Published board — Artificial Analysis Intelligence Index v5.0. Models AA has not rescored on v5.0 are listed as estimates from their frozen v4.x value (isotonic fit over the models measured on both versions), never as measurements.

Science

Tool-use

  • AutomationBench-AA v1.0.6294.8%

    AutomationBench-AA v1.0.6 → · Published board — Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

  • EnterpriseOps-Gym-AA6042.7%

    EnterpriseOps-Gym-AA published 2026-09-10 → · Published board — Tests enterprise workflows through MCP tools against resettable application environments.

  • τ³-Banking (AA) v1.0.15118.8%

    τ³-Banking (AA) v1.0.1 → · Published board — Tests banking support agents that retrieve policies and change account state through tools.

  • MCP Atlas (Scale AI)6479.2%

    MCP Atlas (Scale AI) published 2026-09-21 → · Published board — How reliably a model completes realistic multi-step workflows over real Model Context Protocol servers: discovering the right tool in a noisy tool menu, calling it with correct parameters, recovering from errors and synthesising the results into an accurate final answer.

  • Excel Modeling Benchmark (Vals Index v2)531.8%

    Excel Modeling Benchmark (Vals Index v2) v2 → · Published board — Building and editing financial models in spreadsheets.

Vision

Writing

  • EQ-Bench Creative Writing v3791,491 Elo

    EQ-Bench Creative Writing v3 v3 → · Published board — A LLM-judged creative writing benchmark with vocabulary and GPT-slop controls.

  • The Slop Index9119.4

    The Slop Index published 2026-09-10 → · Published board — Leaderboard scoring how much each model's writing reads like chatbot slop versus pre-AI human writing, blending live arena votes with four mechanical axes.

Unusual results

4 threshold-crossing signals flagged · 33 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

  • unusually weak Context Arena — MRCR v2 (8-needle)
    Why
    Observed: 16.5857 percent
    Peer mean 73.38237 · peer sd 21.36553 · n 47 · families 31
    Directed z -2.658 · baseline z -0.187 · gap -2.471 · profile n 32
    16.5857 percentderived from measuredobserved 2026-09-21contextarena.ai ↗
    Evidence
    Axis: Context Arena — MRCR v2 (8-needle) · 8-needle · Published board
    Exact value: 16.5856985054665 percent
    Observed: 2026-09-21T17:13:26.665692+00:00 · publication date: not recorded
    Observation id: public:90af16675349a60ad240779b
  • unusually weak Vibe Code Bench (Vals Index v2)
    Why
    Observed: 19.052 percent
    Peer mean 68.67 · peer sd 20.89215 · n 39 · families 38
    Directed z -2.375 · baseline z -0.196 · gap -2.179 · profile n 32
    19.052 percentmeasuredobserved 2026-09-26vals.ai ↗
    Evidence
    Axis: Vibe Code Bench (Vals Index v2) · v2 · Published board
    Exact value: 19.052 percent
    Observed: 2026-09-26T04:22:13.903077+00:00 · publication date: not recorded
    Observation id: public:162b486be2e2b37ccbe6b5ed
  • unusually weak Excel Modeling Benchmark (Vals Index v2)
    Why
    Observed: 31.762 percent
    Peer mean 60.6871 · peer sd 13.03063 · n 40 · families 39
    Directed z -2.22 · baseline z -0.201 · gap -2.019 · profile n 32
    31.762 percentmeasuredobserved 2026-09-26vals.ai ↗
    Evidence
    Axis: Excel Modeling Benchmark (Vals Index v2) · v2 · Published board
    Exact value: 31.762 percent
    Observed: 2026-09-26T04:22:13.903077+00:00 · publication date: not recorded
    Observation id: public:8e20bb0d9a425b305d70fa57
  • unusually weak Vals Index v2 (Vals AI)
    Why
    Observed: 31.862 percent
    Peer mean 54.71374 · peer sd 11.34419 · n 38 · families 37
    Directed z -2.014 · baseline z -0.208 · gap -1.807 · profile n 32
    31.862 percentmeasured· 0.28 USD per rolloutobserved 2026-09-26vals.ai ↗
    Evidence
    Axis: Vals Index v2 (Vals AI) · v2 · Published board
    Exact value: 31.862 percent
    Published mean cost: 0.281249 USD per rollout
    Observed: 2026-09-26T04:22:13.903077+00:00 · publication date: not recorded
    Observation id: public:e9310c98e8539537e17fda42
Missing coverage · 286 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Token offers by platform · 1 offer (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

1 offer within the active global filters, 1 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.

OpenRouter (1)

Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/thinkingmachines/inkling-small/providers, collected 2026-11-03.

DeepInfra
Inkling Small — benchmarks & cost | Benchmark Heaven