Skip to main content
BenchLM
Data

Muse Glimmer 30B vs Seed 2.1 Pro

Updated October 25, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

Share or export
Share on XLinkedInAPI/MCP

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 3 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Meta logo

Meta

41.2/100

Estimated · Public rank #131

Conditional range 26.9–55.5

Model B
ByteDance logo

ByteDance

—

Evidence status unavailable

90% interval unavailable

Shared results
3
Muse Glimmer 30B only
11
Seed 2.1 Pro only
8
Like-for-like categories
0 / 8
Estimated: 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

    Seed 2.1 Pro

    Seed 2.1 Pro 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

    Seed 2.1 Pro is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited
  • Agentic work

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

    Not enough matched evidence

    Seed 2.1 Pro is not ranked on the public lane for agentic, so no winner is named for agentic.

    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. Seed 2.1 Pro 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.

30.8Muse Glimmer 30B—Seed 2.1 Pro

Not comparable · BenchAlign v5.8

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

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.

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

Not comparable
Muse Glimmer 30B
25.5
Estimated · #107/132
Seed 2.1 Pro
Not ranked
Basis
BenchAlign v5.8 lane · 4 vs 1 public rows
Reading
Not comparable

Coding

Not comparable
Muse Glimmer 30B
30.8
Estimated · #97/153
Seed 2.1 Pro
Not ranked
Basis
BenchAlign v5.8 lane · 4 vs 2 public rows
Reading
Not comparable

Reasoning

Not comparable
Muse Glimmer 30B
82.2
Unranked · 2 rankable rows
Seed 2.1 Pro
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Muse Glimmer 30B
65.2
#43/56
Seed 2.1 Pro
Not ranked
Basis
Provisional lane · 2 vs 2 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Muse Glimmer 30B
43.2
Estimated · #106/187
Seed 2.1 Pro
Not ranked
Basis
BenchAlign v5.8 lane · 0 vs 1 public rows
Reading
Not comparable

Multilingual

Not comparable
Muse Glimmer 30B
Not ranked
Seed 2.1 Pro
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Muse Glimmer 30B
81.1
#59/153
Seed 2.1 Pro
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Muse Glimmer 30B
84.6
Unranked · 1 rankable row
Seed 2.1 Pro
Not ranked
Basis
Provisional lane · 1 vs 0 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.

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

Muse Glimmer 30B
Self-hosted; infrastructure cost varies
Fits in one request
Seed 2.1 Pro
API rate not published
Fits in one request

Muse Glimmer 30B has no comparable published API token rate. Seed 2.1 Pro has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Muse Glimmer 30B
Self-hosted; infrastructure cost varies
Fits in one request
Seed 2.1 Pro
API rate not published
Fits in one request

Muse Glimmer 30B has no comparable published API token rate. Seed 2.1 Pro has no comparable published API token rate.

Cache-heavy agent loop

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

Muse Glimmer 30B
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable
Seed 2.1 Pro
API rate not published
Fits 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. Seed 2.1 Pro 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.

Muse Glimmer 30B

131K

Seed 2.1 Pro

Cached-input rate

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

Muse Glimmer 30B

No comparable hosted API rate

Seed 2.1 Pro

No comparable hosted API rate

Volcengine model pricing

Documented inputs

Muse Glimmer 30B

Not sourced

Seed 2.1 Pro

Not sourced

Documented outputs

Muse Glimmer 30B

Not sourced

Seed 2.1 Pro

Not sourced

Provider availability

Muse Glimmer 30B

Not sourced

Seed 2.1 Pro

Not sourced

Reasoning profile

Muse Glimmer 30B

Reasoning

Seed 2.1 Pro

Reasoning

Weight access

Muse Glimmer 30B

Open Weight

Seed 2.1 Pro

Proprietary

License

Muse Glimmer 30B

Open Weight

Seed 2.1 Pro

Proprietary

Release date

Muse Glimmer 30B

2026-08-10

Seed 2.1 Pro

2026-06-24

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
Seed 2.1 Pro has the larger documented window (256K).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Muse Glimmer 30B or Seed 2.1 Pro?

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, Muse Glimmer 30B or Seed 2.1 Pro?

Seed 2.1 Pro is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Muse Glimmer 30B or Seed 2.1 Pro?

Seed 2.1 Pro is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Muse Glimmer 30B or Seed 2.1 Pro?

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, Muse Glimmer 30B or Seed 2.1 Pro?

Seed 2.1 Pro has the larger documented context window: 256K, compared with 131K.

Self-host vs API cost

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

Muse Glimmer 30B
API / mo$0
Self-host / mo$298
Break-even—
Seed 2.1 Pro
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
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 evidence22 rows

Agentic

  • MCP Atlas

    Muse Glimmer 30B75.5%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • DeepSearchQA

    Muse Glimmer 30B74.6%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • skillsBench

    Muse Glimmer 30B44.3%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • OSWorld-Verified

    Muse Glimmer 30B65.9%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • Terminal-Bench 2.1

    Muse Glimmer 30B—
    Seed 2.1 Pro71.0%
    Source

    Not directly comparable

Coding

  • SWE-bench Pro

    Muse Glimmer 30B51.2%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • SWE-bench Verified

    Muse Glimmer 30B76%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • Terminal-Bench 2.1

    Muse Glimmer 30B51.7%
    Source
    Seed 2.1 Pro71.0%
    Source

    Seed 2.1 Pro leads this result

  • SciCode

    Muse Glimmer 30B43.6%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • NL2Repo

    Muse Glimmer 30B—
    Seed 2.1 Pro47%
    Source

    Not directly comparable

Multimodal

  • CharXiv

    Muse Glimmer 30B78.8%
    Source
    Seed 2.1 Pro85.4%
    Source

    Seed 2.1 Pro leads this result

  • ScreenSpot Pro

    Muse Glimmer 30B75.4%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • OmniDocBench 1.5

    Muse Glimmer 30B75.8%
    Source
    Seed 2.1 Pro—

    Not directly comparable

  • MMMU-Pro

    Muse Glimmer 30B74%
    Source
    Seed 2.1 Pro81.6%
    Source

    Seed 2.1 Pro leads this result

  • MathVision

    Muse Glimmer 30B—
    Seed 2.1 Pro92.6%
    Source

    Not directly comparable

  • ZeroBench

    Muse Glimmer 30B—
    Seed 2.1 Pro18.0%
    Source

    Not directly comparable

  • BabyVision

    Muse Glimmer 30B—
    Seed 2.1 Pro73.7%
    Source

    Not directly comparable

  • ERQA

    Muse Glimmer 30B—
    Seed 2.1 Pro72.0%
    Source

    Not directly comparable

  • Video-MME

    Muse Glimmer 30B—
    Seed 2.1 Pro89.2%
    Source

    Not directly comparable

Knowledge

  • SuperGPQA

    Muse Glimmer 30B—
    Seed 2.1 Pro70.8%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Muse Glimmer 30B77%
    Source
    Seed 2.1 Pro—

    Not directly comparable

Math

  • AIME26

    Muse Glimmer 30B94.7%
    Source
    Seed 2.1 Pro—

    Not directly comparable

22 public results · 3 shared

Watch Muse Glimmer 30B vs Seed 2.1 Pro

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 6,100+ subscribers.

Last updated October 25, 2026