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Model comparison

Inkling-Small vs Muse Spark

Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Inkling-Small

Thinking Machines Lab

—

Evidence status unavailable

90% interval unavailable

Muse Spark

Meta

70.3/100

Supported · Public rank #16

90% interval 61.5–79.2

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

9 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Inkling-Small

    Inkling-Small has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
9
Inkling-Small only
11
Muse Spark only
15
Like-for-like categories
2 / 8

3 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Reasoning

Like-for-like
Inkling-Small
40.1
Muse Spark
42.5
Weighted basis
1 vs 1 rows
Reading
Muse Spark leads

Multimodal

Like-for-like
Inkling-Small
76.6
Muse Spark
82.5
Weighted basis
2 vs 2 rows
Reading
Muse Spark leads

Agentic

Directional only
Inkling-Small
70.1
Muse Spark
59.0
Weighted basis
2 vs 1 rows
Reading
Directional only

Coding

Directional only
Inkling-Small
62.4
Muse Spark
67.8
Weighted basis
3 vs 2 rows
Reading
Directional only

Knowledge

Directional only
Inkling-Small
53.4
Muse Spark
50.4
Weighted basis
2 vs 1 rows
Reading
Directional only

Math

Not comparable
Inkling-Small
92.9
Muse Spark
32.9
Weighted basis
2 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
Inkling-Small
Not measured
Muse Spark
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Inkling-Small
82.2
Muse Spark
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Inkling-Small
$0.0013
Fits in one request
Muse Spark
API rate not published
Fits in one request

Muse Spark has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Inkling-Small
$0.03332
Fits in one request
Muse Spark
API rate not published
Fits in one request

Muse Spark has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Inkling-Small
$0.0492
Fits in one request
Muse Spark
API rate not published
Fits in one request
Cached-input rate unavailable

Muse Spark has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Inkling-Small

1M

Muse Spark

262K

API model ID

Inkling-Small

Not sourced

Muse Spark

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Inkling-Small

$0.116 per 1M cached input tokens

Muse Spark

No comparable hosted API rate

Documented inputs

Inkling-Small

Not sourced

Muse Spark

Not sourced

Documented outputs

Inkling-Small

Not sourced

Muse Spark

Not sourced

Provider availability

Inkling-Small

Not sourced

Muse Spark

Not sourced

Reasoning profile

Inkling-Small

Hybrid

Muse Spark

Reasoning

Weight access

Inkling-Small

Open Weight

Muse Spark

Proprietary

License

Inkling-Small

Open Weight

Muse Spark

Proprietary

Release date

Inkling-Small

2026-07-30

Muse Spark

2026-04-08

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Inkling-Small has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence35 rows

Agentic

  • Terminal-Bench 2.0

    Inkling-Small64.7%
    Source
    Muse Spark59%
    Source

    Inkling-Small leads this result

  • BrowseComp

    Inkling-Small77.4%
    Source
    Muse Spark—

    Not directly comparable

  • MCP Atlas

    Inkling-Small79.6%
    Source
    Muse Spark—

    Not directly comparable

  • Toolathlon-Verified

    Inkling-Small54.4%
    Source
    Muse Spark—

    Not directly comparable

  • τ²-bench results

    Inkling-Small—
    Muse Spark91.5%
    Source

    Not directly comparable

  • DeepSearchQA

    Inkling-Small—
    Muse Spark74.8%
    Source

    Not directly comparable

  • CyberGym

    Inkling-Small—
    Muse Spark43.5%
    Source

    Not directly comparable

  • Claw-Eval

    Inkling-Small—
    Muse Spark63.8%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Inkling-Small80.2%
    Source
    Muse Spark77.4%
    Source

    Inkling-Small leads this result

  • SWE-bench Pro

    Inkling-Small55.9%
    Source
    Muse Spark52.4%
    Source

    Inkling-Small leads this result

  • Terminal-Bench 2.0

    Inkling-Small64.7%
    Source
    Muse Spark—

    Not directly comparable

  • SciCode

    Inkling-Small48.7%
    Source
    Muse Spark—

    Not directly comparable

  • LiveCodeBench Pro

    Inkling-Small—
    Muse Spark80.0%
    Source

    Not directly comparable

  • Vibe Code Bench

    Inkling-Small—
    Muse Spark19.67%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Inkling-Small40.1%
    Source
    Muse Spark42.5%
    Source

    Muse Spark leads this result

  • CritPt

    Inkling-Small8.3%
    Source
    Muse Spark—

    Not directly comparable

Knowledge

  • GPQA

    Inkling-Small89.5%
    Source
    Muse Spark—

    Not directly comparable

  • GPQA-D

    Inkling-Small89.5%
    Source
    Muse Spark89.5%
    Source

    Tie

  • HLE

    Inkling-Small47.8%
    Source
    Muse Spark50.4%
    Source

    Muse Spark leads this result

  • HLE w/o tools

    Inkling-Small31.6%
    Source
    Muse Spark42.8%
    Source

    Muse Spark leads this result

  • HealthBench Hard

    Inkling-Small—
    Muse Spark42.8%
    Source

    Not directly comparable

  • MedXpertQA (Text)

    Inkling-Small—
    Muse Spark52.6%
    Source

    Not directly comparable

Math

  • AIME26

    Inkling-Small95.5%
    Source
    Muse Spark—

    Not directly comparable

  • HMMT Feb 2026

    Inkling-Small90.2%
    Source
    Muse Spark—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Inkling-Small—
    Muse Spark39.000%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Inkling-Small—
    Muse Spark14.600%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Inkling-Small74%
    Source
    Muse Spark80.4%
    Source

    Muse Spark leads this result

  • CharXiv

    Inkling-Small81.3%
    Source
    Muse Spark86.4%
    Source

    Muse Spark leads this result

  • CharXiv w/o tools

    Inkling-Small77.4%
    Source
    Muse Spark—

    Not directly comparable

  • ERQA

    Inkling-Small—
    Muse Spark64.7%
    Source

    Not directly comparable

  • SimpleVQA

    Inkling-Small—
    Muse Spark71.3%
    Source

    Not directly comparable

  • ScreenSpot Pro

    Inkling-Small—
    Muse Spark84.1%
    Source

    Not directly comparable

  • ZeroBench

    Inkling-Small—
    Muse Spark33.0%
    Source

    Not directly comparable

  • MedXpertQA (MM)

    Inkling-Small—
    Muse Spark78.4%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Inkling-Small82.2%
    Source
    Muse Spark—

    Not directly comparable

Frequently asked questions

Which is better, Inkling-Small or Muse Spark?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Inkling-Small or Muse Spark?

The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Inkling-Small or Muse Spark?

The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Inkling-Small or Muse Spark?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Inkling-Small or Muse Spark?

Inkling-Small has the larger documented context window: 1M, compared with 262K.

Related comparisons

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Last updated July 30, 2026

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