Decision support

Muse Wonder Full vs Inkling 2 Small

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Inkling 2 Small

Thinking Machines Lab

Sources:models.devOpenRouter

Benchmark results

Head to head on 2 benchmarks both models report

  • Muse Wonder Full2leads
  • Inkling 2 Small0leads
  • Arena Text

    Arena rating · Higher is better

    • Muse Wonder Full
      Not reported
    • Inkling 2 Small
      1412
      Arena #151CI 1400 to 1424
    Runs and sources
    Muse Wonder Full

    Not reported

    Inkling 2 Small
    • default141295% CI 1400 to 1424 · 2,668 votes
  • Arena WebDev

    Arena rating · Higher is better

    • Muse Wonder Full
      Best1723
      +77 ahead · Arena #8CI 1709 to 1738
    • Inkling 2 Small
      1646
      Arena #22CI 1627 to 1666
    Runs and sources
    Muse Wonder Full
    • max172395% CI 1709 to 1738 · 2,069 votes
    Inkling 2 Small
    • default164695% CI 1627 to 1666 · 983 votes
  • Agent Arena

    IPS score · Higher is better

    • Muse Wonder Full
      Best+0.090
      +0.065 ahead · Arena #10CI +0.080 to +0.099
    • Inkling 2 Small
      +0.025
      Arena #18CI +0.010 to +0.040
    Runs and sources
    Muse Wonder Full
    • max+0.09095% CI +0.080 to +0.099 · 5,862,238 observations
    Inkling 2 Small
    • default+0.02595% CI +0.010 to +0.040 · 1,511,880 observations
  • ARC-AGI-2

    Best published score · Higher is better

    • Muse Wonder Full
      Not reported
    • Inkling 2 Small
      81.7%
      #19 of 85
    Runs and sources
    Muse Wonder Full

    Not reported

    Inkling 2 Small
    • xhigh81.7%
    Source:External evaluation via Epoch AIOriginal-source terms apply

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Original-source terms apply to evaluations credited to their original publishers.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
October 12, 2026
November 5, 2026
Context window
1M
1M
Native context
—
—
Max output tokens
—
131,072
Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
—
$0.00
Output
—
$0.00
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text
text, image
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
tools, reasoning, temperature
include_reasoning, max_tokens, reasoning, reasoning_effort, seed, stop, temperature, tools, top_p
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
Other
Instruction format
—
—
License
Proprietary
Proprietary
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
ai-research
models.dev

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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