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BenchLM
Data

Inkling 2 Small vs Muse Glimmer 30B

Updated November 7, 2026. Rank says Inkling 2 Small is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Inkling 2 Small has the higher public point estimate, 59.06 versus 32.57. Their conditional score ranges overlap. These ranges do not establish rank confidence. 6 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Thinking Machines Lab logo

Thinking Machines Lab

59.06/100

Estimated · Public rank #56

Conditional range 44.7–73.4

Model B
Meta logo

Meta

32.57/100

Estimated · Public rank #169

Conditional range 18.2–46.9

Shared results
6
Inkling 2 Small only
19
Muse Glimmer 30B only
8
Like-for-like categories
0 / 8
Estimated: Inkling 2 Small and Muse Glimmer 30B. Conditional ranges do not establish rank confidence.How the comparison works

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 2 Small

    Inkling 2 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

    Muse Glimmer 30B is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited
  • Agentic work

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

    Not enough matched evidence

    Muse Glimmer 30B is scored on Estimated evidence for agentic, so the reading is 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

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Muse Glimmer 30B does not fit this workload in one request. Muse Glimmer 30B has no comparable published API token rate.

    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

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

59.7Inkling 2 Small24.3Muse Glimmer 30B

Directional only · BenchAlign v5.8

Inkling 2 Small has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

4 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

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.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Directional only
Inkling 2 Small
59.9
Supported · #26/131
Muse Glimmer 30B
19.3
Estimated · #118/131
Basis
BenchAlign v5.8 lane · 5 vs 4 public rows
Reading
Directional only

Coding

Directional only
Inkling 2 Small
59.7
Supported · #20/157
Muse Glimmer 30B
24.3
Estimated · #124/157
Basis
BenchAlign v5.8 lane · 6 vs 4 public rows
Reading
Directional only

Multimodal

Directional only
Inkling 2 Small
86.6
#12/59
Muse Glimmer 30B
63.7
#46/59
Basis
Provisional lane · 1 vs 2 weighted rows
Reading
Directional only

Knowledge

Directional only
Inkling 2 Small
60.4
Estimated · #46/178
Muse Glimmer 30B
38.2
Estimated · #123/178
Basis
BenchAlign v5.8 lane · 2 vs 0 public rows
Reading
Directional only

Reasoning

Not comparable
Inkling 2 Small
86.1
Unranked · 2 rankable rows
Muse Glimmer 30B
80.5
Unranked · 2 rankable rows
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Inkling 2 Small
Not ranked
Muse Glimmer 30B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Inkling 2 Small
Not ranked
Muse Glimmer 30B
81.1
#61/157
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Math

Not comparable
Inkling 2 Small
85.9
Unranked · 2 rankable rows
Muse Glimmer 30B
81.1
Unranked · 1 rankable row
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

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 2 Small
$0.0008
Fits in one request
Muse Glimmer 30B
Self-hosted; infrastructure cost varies
Fits in one request

Muse Glimmer 30B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Inkling 2 Small
$0.018
Fits in one request
Muse Glimmer 30B
Self-hosted; infrastructure cost varies
Fits in one request

Muse Glimmer 30B has no comparable published API token rate.

Cache-heavy agent loop

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

Inkling 2 Small
$0.022
Fits in one request
Muse Glimmer 30B
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable

Muse Glimmer 30B does not fit this workload in one request. Muse Glimmer 30B has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

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 2 Small

Muse Glimmer 30B

131K

API model ID

Inkling 2 Small

Not sourced

Muse Glimmer 30B

Not sourced

Cached-input rate

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

Inkling 2 Small

$0.03 per 1M cached input tokens

Tinker models and pricing

Muse Glimmer 30B

No comparable hosted API rate

Documented inputs

Inkling 2 Small

Not sourced

Muse Glimmer 30B

Not sourced

Documented outputs

Inkling 2 Small

Not sourced

Muse Glimmer 30B

Not sourced

Provider availability

Inkling 2 Small

Not sourced

Muse Glimmer 30B

Not sourced

Reasoning profile

Inkling 2 Small

Hybrid

Muse Glimmer 30B

Reasoning

Weight access

Inkling 2 Small

Proprietary

Muse Glimmer 30B

Open Weight

License

Inkling 2 Small

Proprietary

Muse Glimmer 30B

Open Weight

Release date

Inkling 2 Small

2026-11-05

Muse Glimmer 30B

2026-08-10

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
Inkling 2 Small has the higher public point estimate, 59.06 versus 32.57. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Inkling 2 Small has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Inkling 2 Small or Muse Glimmer 30B?

Inkling 2 Small has the higher public point estimate, 59.06 versus 32.57. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Inkling 2 Small or Muse Glimmer 30B?

Inkling 2 Small scores higher for coding on the public lane, 59.7 to 24.3. Muse Glimmer 30B is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Inkling 2 Small or Muse Glimmer 30B?

Inkling 2 Small scores higher for agentic tasks on the public lane, 59.9 to 19.3. Muse Glimmer 30B is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Inkling 2 Small or Muse Glimmer 30B?

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 2 Small or Muse Glimmer 30B?

Inkling 2 Small has the larger documented context window: 1M, compared with 131K.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Inkling 2 Small
API / mo$975
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Muse Glimmer 30B
API / mo$0
Self-host / mo$298
Break-even—
Model the full break-even

Benchmark evidence

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

Browse raw public benchmark evidence33 rows

Agentic

  • Terminal-Bench 2.1

    Inkling 2 Small85.1%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • BrowseComp

    Inkling 2 Small90.2%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • DeepSearchQA

    Inkling 2 Small90.9%
    Source
    Muse Glimmer 30B74.6%
    Source

    Inkling 2 Small leads this result

  • MCP Atlas

    Inkling 2 Small85%
    Source
    Muse Glimmer 30B75.5%
    Source

    Inkling 2 Small leads this result

  • JobBench

    Inkling 2 Small70.5%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • skillsBench

    Inkling 2 Small—
    Muse Glimmer 30B44.3%
    Source

    Not directly comparable

  • OSWorld-Verified

    Inkling 2 Small—
    Muse Glimmer 30B65.9%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Inkling 2 Small82.2%
    Source
    Muse Glimmer 30B76%
    Source

    Inkling 2 Small leads this result

  • SWE Multilingual

    Inkling 2 Small81.2%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • sweMarathon

    Inkling 2 Small38.8%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • Terminal-Bench 2.1

    Inkling 2 Small85.1%
    Source
    Muse Glimmer 30B51.7%
    Source

    Inkling 2 Small leads this result

  • DeepSWE

    Inkling 2 Small72.1%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • PostTrainBench v1.2

    Inkling 2 Small31.9%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • SWE-bench Pro

    Inkling 2 Small—
    Muse Glimmer 30B51.2%
    Source

    Not directly comparable

  • SciCode

    Inkling 2 Small—
    Muse Glimmer 30B43.6%
    Source

    Not directly comparable

Reasoning

  • LongBench v2

    Inkling 2 Small70.6%
    Source
    Muse Glimmer 30B—

    Not directly comparable

Multimodal

  • CharXiv

    Inkling 2 Small87.7%
    Source
    Muse Glimmer 30B78.8%
    Source

    Inkling 2 Small leads this result

  • CharXiv w/o tools

    Inkling 2 Small85.6%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • Chartography (no tools)

    Inkling 2 Small36.7%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • Chartography (tools)

    Inkling 2 Small80.4%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • BabyVision

    Inkling 2 Small68.6%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • BabyVision w/ Python

    Inkling 2 Small93.7%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • ScreenSpot Pro

    Inkling 2 Small83.8%
    Source
    Muse Glimmer 30B75.4%
    Source

    Inkling 2 Small leads this result

  • PerceptionBench

    Inkling 2 Small64.7%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • MathVision

    Inkling 2 Small92.8%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • OmniDocBench 1.5

    Inkling 2 Small—
    Muse Glimmer 30B75.8%
    Source

    Not directly comparable

  • MMMU-Pro

    Inkling 2 Small—
    Muse Glimmer 30B74%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Inkling 2 Small93%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • GPQA-D

    Inkling 2 Small93.0%
    Source
    Muse Glimmer 30B—

    Not directly comparable

Instruction following

  • IFBench

    Inkling 2 Small—
    Muse Glimmer 30B77%
    Source

    Not directly comparable

Math

  • HMMT Feb 2026

    Inkling 2 Small95.8%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • Apex

    Inkling 2 Small63.5%
    Source
    Muse Glimmer 30B—

    Not directly comparable

  • AIME26

    Inkling 2 Small—
    Muse Glimmer 30B94.7%
    Source

    Not directly comparable

33 public results · 6 shared

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Last updated November 7, 2026