How does Inkling compare with other LLMs?

AskClash compares Inkling against nearby AI models using public benchmark scores, pricing, context window, and access details.

What benchmarks are tracked for Inkling?

The page shows cached published benchmark signals such as HLE, GPQA, SWE-bench, SWE-Pro, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and related model scores when available.

LLM Leaderboard · Open Weight

Inkling leaderboard — benchmarks, pricing, and comparisons.

Compare Inkling vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.

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Rank #27AskClash overall score: 50.7

$1.87 / $4.68Input and output token price, when published. Context: 1M.

API/Self-hostVisit the model provider's website.

Inkling benchmark snapshot

AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.

Overall50.7

Benchmark cells8

Context1M

CreatorThinking Machines Lab

Inkling public benchmark scores

Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.

HLE

46.0 score

GPQA

87.9 score

IFEval

79.8 score

SWE-bench

77.6 score

Terminal-Bench

63.8 score

MCP Atlas

74.1 score

CharXiv

82.0 score

MMMU-Pro

73.5 score

Inkling vs other AI models

Use these comparison links to evaluate Inkling against nearby LLMs by benchmark score, price, context window, and provider.

Claude Fable 5 vs Inkling GPT-5.6 Sol vs Inkling Claude Opus 4.8 vs Inkling Grok 4.5 vs Inkling GPT-5.5 vs Inkling Muse Spark 1.1 vs Inkling Claude Sonnet 5 vs Inkling GPT-5.6 Terra vs Inkling

Related AI and tech coverage

Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.

Thinking Machines Lab Releases Inkling: A 975B-Parameter Open-Weights Multimodal MoE With 41B Active Parameters And Controllable Thinking Effort

MarkTechPost

Thinking Machines Lab debuts Inkling, an open-weight MoE model with 975B total and 41B active parameters, trained to be broad rather than optimized for one area (Thinking Machines Lab)

Inkling: Our Open-Weights Model - Thinking Machines Lab THINKING MACHINES Inkling Tinker Connectionism News Join us Home Inkling Tinker Connectionism News Join us Inkling: Our Open-Weights Model Jul 15, 2026 Capabilities Generalist model Agentic coding and too

Together AI brings Thinking Machines Lab’s new model Inkling on day 0

Together AI Blog

Thinking Machines debuts open-weight Inkling AI model

Testing Catalog

Last cached leaderboard date: July 15, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.