Skip to contentT/TTokens or Towers

Compare

LeaderboardEvery tracked model, ranked and priced side by sideBenchmarksWhat each test measures and who leads itPricesAPI, media, and hardware rates with a cost calculator

Plan

Stack plannerSix questions to a priced local and hosted stackShortlistOur picks for subscriptions, APIs, and hardwareEnterpriseSeat plans against self-hosting for a whole team

Build

HardwareGPUs and workstations, and which models they fitHostsWhere to rent open-weight inference, and for how muchHarnessesCoding agents and the models they drive

Lab

FindingsResults from our own evaluationsScanAudit a repo’s AI usage in the browserMethodWhere the numbers come from and how we check them
Data checked September 25, 2026
Data checked September 25, 2026
Plan a stack
T/TTokens or Towers

An independent guide to AI models, what they cost, and the hardware to run them. No account, no API key, no sponsors.

Compare

  • Leaderboard
  • Benchmarks
  • Prices

Plan

  • Stack planner
  • Shortlist
  • Enterprise

Build

  • Hardware
  • Hosts
  • Harnesses

Lab

  • Findings
  • Scan
  • Method
Data checked September 25, 2026 · Every number links to its sourceRSS · Source on GitHub
Leaderboard/Thinking Machines Lab
Thinking Machines Lab

Thinking Machines Lab · Inkling

Inkling

Open weightsGenerally availableApache-2.0

Thinking Machines Lab's first open-weights model: a 975B/41B-active multimodal (text, image, audio in) MoE with controllable thinking effort, positioned as a base for fine-tuning on Tinker.

AA Intelligence
25#55 of 142
Input / output per 1M
$1.00/ $4.05
Output speed
167tok/s
Context window
1M tokens

Composite indexes

  • Artificial Analysis Intelligence Index#55 of 142
    25independentIntelligence Index v4.3; xhigh effortArtificial Analysis: Inkling (xhigh) ↗

    Leader: Claude Opus 5.5 at 58

Coding

  • SciCode#51 of 94
    47%independentxhigh effortArtificial Analysis: Inkling (xhigh) ↗
    46.1%vendorThinking Machines Lab: Introducing Inkling-Small ↗

    Leader: Claude Opus 5.5 at 66.9%

  • Terminal-Bench 4.0#47 of 88
    1%independentxhigh effortArtificial Analysis: Inkling (xhigh) ↗

    Leader: Claude Mythos 5.1 at 60.9%

  • Terminal-Bench 2.x#55 of 103
    63.8%vendorTerminal-Bench 2.1, best/internal harness; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗
    55.1%independentTerminal-Bench 2.1; xhigh effortArtificial Analysis: Inkling (xhigh) ↗

    Leader: Claude Fable 5.1 at 91.4%

  • SWE-bench Verified#6 of 16
    77.6%vendorbash-only harness; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: Claude Sonnet 5 at 85.2%

  • SWE-bench Pro#20 of 31
    54.3%vendorpublic set; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: Claude Opus 5.5 at 89.9%

Agents and tool use

  • GDPval-AA#47 of 103
    1238vendorGDPval-AA v2; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗
    1064independentxhigh effortArtificial Analysis: Inkling (xhigh) ↗

    Leader: Claude Opus 5.5 at 1846

  • MCP Atlas#5 of 9
    76%vendoreffort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: Kimi K3 at 84.2%

  • BrowseComp#8 of 14
    77.1%vendorwith context management; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: GPT-6 Astra at 91.5%

Reasoning and knowledge

  • GPQA Diamond#50 of 142
    87.2%independentxhigh effortArtificial Analysis: Inkling (xhigh) ↗
    87.2%vendoreffort 0.99 (AA-reported value cited by vendor)Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: GPT-6 Astra at 96.1%

  • Humanity’s Last Exam#55 of 147
    46%vendorwith tools; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗
    31.9%independentno tools; xhigh effortArtificial Analysis: Inkling (xhigh) ↗
    29.7%vendortext only, no tools; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: Claude Opus 5.5 at 61.4%

  • CritPt#49 of 139
    5.4%independentxhigh effortArtificial Analysis: Inkling (xhigh) ↗
    5.4%vendorThinking Machines Lab: Introducing Inkling-Small ↗

    Leader: GPT-5.6 Sol at 32.3%

  • AIME 2026#3 of 13
    97.1%vendoreffort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: ERNIE 5.1 at 99.6%

  • HMMT February 2026#4 of 8
    86.3%vendorHMMT Feb 2026Thinking Machines Lab: Introducing Inkling-Small ↗

    Leader: GLM-5.2 at 92.5%

  • ARC-AGI-2#19 of 25
    36.5%independentsemi-private; ARC Prize verified; $0.64/taskARC Prize leaderboard (evaluations data) ↗

    Leader: GPT-6 Astra at 95%

Vision and long context

  • AA Long Context Reasoning#51 of 139
    77.3%independentxhigh effortArtificial Analysis: Inkling (xhigh) ↗

    Leader: Kimi K3 at 88.7%

  • MMMU-Pro#41 of 72
    73.5%independentxhigh effortArtificial Analysis: Inkling (xhigh) ↗
    73.5%vendorstandard 10 options; effort 0.99Thinking Machines Lab: Inkling: Our Open-Weights Model ↗

    Leader: Claude Opus 5.5 at 87.7%

Other published results

ResultScoreReported bySource
tau2-Bench Banking (AA) · xhigh effort29.1%independentArtificial Analysis: Inkling (xhigh) ↗
AA-Omniscience Index · xhigh effort2 indexindependentArtificial Analysis: Inkling (xhigh) ↗
AA Analyst Agent · xhigh effort23.8%independentArtificial Analysis: Inkling (xhigh) ↗
SimpleQA Verified · effort 0.9943.9%vendorThinking Machines Lab: Inkling: Our Open-Weights Model ↗
IFBench · effort 0.9979.8%vendorThinking Machines Lab: Inkling: Our Open-Weights Model ↗
Toolathlon Verified · effort 0.9945.5%vendorThinking Machines Lab: Inkling: Our Open-Weights Model ↗
tau3-Bench Banking · effort 0.9923.7%vendorThinking Machines Lab: Inkling: Our Open-Weights Model ↗
ARC-AGI-1 · semi-private; ARC Prize verified79.5%independentARC Prize leaderboard (evaluations data) ↗
VoiceBench · effort 0.9991.4%vendorThinking Machines Lab: Inkling: Our Open-Weights Model ↗
MMAU · effort 0.9977.2%vendorThinking Machines Lab: Inkling: Our Open-Weights Model ↗

Specs

Released
July 15, 2026
Parameters
975B total, 41B active
Size class
500B to 1T
Input
text, image, audio
Output
text
Context
1M tokens
Max output
Not published
Cached input
$0.17 / 1M
Blended 70/30
$1.915 / 1M
First token
1.87s
  • Price: Tinker models and pricing ↗ Tinker serverless inference (beta) rate; Tinker serving context is 256K although the model supports up to 1M.
  • Speed: Artificial Analysis leaderboard (Inkling (xhigh), median across providers or first-party as shown) ↗

Will it fit your budget?

The planner prices this model against local hardware and other APIs for your workload.

Plan a stack →

Compare with

  • AlibabaQwen3.7-Plus25
  • xAIGrok 4.324.9
  • Ant GroupLing 3.0 Flash24.9
  • XiaomiMiMo-V2.525.2