Muse Glimmer 30B vs Qwen3.7 Plus

Updated September 24, 2026. Rank says Qwen3.7 Plus is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Decision reading

Qwen3.7 Plus has the higher public score estimate, 55.78 versus 41.73, but the 90% score intervals overlap. Treat that as a lead, not a settled winner. 10 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Muse Glimmer 30B

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
Qwen3.7 Plus
Qwen3.7 Plus 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 and Qwen3.7 Plus are 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. Qwen3.7 Plus 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.

Pick the job you would use them for

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

36.3Muse Glimmer 30B43.6Qwen3.7 Plus

Directional only · BenchAlign v5.7

Qwen3.7 Plus scores higher, but at least one score rests on Estimated evidence or a different benchmark set. Directional only, no winner.

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

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

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.

SciCodeCoding
Normalized gap 7.7
Muse Glimmer 30B:43.6%
Qwen3.7 Plus:51.3%
Muse Glimmer 30B source Qwen3.7 Plus source
OSWorld-VerifiedAgentic
Normalized gap 7.4
Muse Glimmer 30B:65.9%
Qwen3.7 Plus:73.3%
Muse Glimmer 30B source Qwen3.7 Plus source
CharXivMultimodal
Normalized gap 7.1
Muse Glimmer 30B:78.8%
Qwen3.7 Plus:85.9%
Muse Glimmer 30B source Qwen3.7 Plus source
SWE-bench ProCoding
Normalized gap 6.4
Muse Glimmer 30B:51.2%
Qwen3.7 Plus:57.6%
Muse Glimmer 30B source Qwen3.7 Plus source
MMMU-ProMultimodal
Normalized gap 5.0
Muse Glimmer 30B:74%
Qwen3.7 Plus:79%
Muse Glimmer 30B source Qwen3.7 Plus source

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 v5.7 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.

Multimodal

Like-for-like

Muse Glimmer 30B: 46.3; #42/50
Qwen3.7 Plus: 72.4; #19/50
Basis: Provisional lane · 2 vs 2 weighted rows
Reading: Qwen3.7 Plus leads

Instruction following

Like-for-like

Muse Glimmer 30B: 77.7; #55/124
Qwen3.7 Plus: 89.2; #18/124
Basis: Provisional lane · 1 vs 1 weighted rows
Reading: Qwen3.7 Plus leads

Agentic

Directional only

Muse Glimmer 30B: 27.6; Estimated · #72/105
Qwen3.7 Plus: 35.2; Supported · #55/105
Basis: BenchAlign v5.7 lane · 4 vs 11 public rows
Reading: Directional only

Coding

Directional only

Muse Glimmer 30B: 36.3; Estimated · #69/135
Qwen3.7 Plus: 43.6; Estimated · #49/135
Basis: BenchAlign v5.7 lane · 4 vs 7 public rows
Reading: Directional only

Knowledge

Directional only

Muse Glimmer 30B: 43.9; Estimated · #75/158
Qwen3.7 Plus: 52.3; Estimated · #50/158
Basis: BenchAlign v5.7 lane · 0 vs 7 public rows
Reading: Directional only

Reasoning

Not comparable

Muse Glimmer 30B: 79.3; Unranked · 2 rankable rows
Qwen3.7 Plus: 75.1; Unranked · 3 rankable rows
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Multilingual

Not comparable

Muse Glimmer 30B: Not ranked
Qwen3.7 Plus: 78.9; #3/12
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

Muse Glimmer 30B: 75.4; Unranked · 1 rankable row
Qwen3.7 Plus: 78.2; Unranked · 3 rankable rows
Basis: Provisional lane · 1 vs 1 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Muse Glimmer 30B and Qwen3.7 Plus
Category	Muse Glimmer 30B	Qwen3.7 Plus	Basis	Reading
Multimodal	46.3#42/50	72.4#19/50	Like-for-likeProvisional lane · 2 vs 2 weighted rows	Qwen3.7 Plus leads
Instruction following	77.7#55/124	89.2#18/124	Like-for-likeProvisional lane · 1 vs 1 weighted rows	Qwen3.7 Plus leads
Agentic	27.6Estimated · #72/105	35.2Supported · #55/105	Directional onlyBenchAlign v5.7 lane · 4 vs 11 public rows	Directional only
Coding	36.3Estimated · #69/135	43.6Estimated · #49/135	Directional onlyBenchAlign v5.7 lane · 4 vs 7 public rows	Directional only
Knowledge	43.9Estimated · #75/158	52.3Estimated · #50/158	Directional onlyBenchAlign v5.7 lane · 0 vs 7 public rows	Directional only
Reasoning	79.3Unranked · 2 rankable rows	75.1Unranked · 3 rankable rows	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Multilingual	Not ranked	78.9#3/12	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Math	75.4Unranked · 1 rankable row	78.2Unranked · 3 rankable rows	Not comparableProvisional lane · 1 vs 1 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) 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

Muse Glimmer 30B: Self-hosted; infrastructure cost varies; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request

Muse Glimmer 30B has no comparable published API token rate. Qwen3.7 Plus 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
Qwen3.7 Plus: API rate not published; Fits in one request

Muse Glimmer 30B has no comparable published API token rate. Qwen3.7 Plus 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
Qwen3.7 Plus: 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. Qwen3.7 Plus 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.

SpecificationMuse Glimmer 30BQwen3.7 Plus

Context window

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

Muse Glimmer 30B

131K

Qwen3.7 Plus

API model ID

Muse Glimmer 30B

Not sourced

Qwen3.7 Plus

Not sourced

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

Qwen3.7 Plus

No comparable hosted API rate

Documented inputs

Muse Glimmer 30B

Not sourced

Qwen3.7 Plus

Not sourced

Documented outputs

Muse Glimmer 30B

Not sourced

Qwen3.7 Plus

Not sourced

Provider availability

Muse Glimmer 30B

Not sourced

Qwen3.7 Plus

Not sourced

Reasoning profile

Muse Glimmer 30B

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

Muse Glimmer 30B

Open Weight

Qwen3.7 Plus

Proprietary

License

Muse Glimmer 30B

Open Weight

Qwen3.7 Plus

Proprietary

Release date

Muse Glimmer 30B

2026-08-10

Qwen3.7 Plus

2026-06-03

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: Qwen3.7 Plus has the higher public score estimate, 55.78 versus 41.73, but the 90% score intervals overlap.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Qwen3.7 Plus has the larger documented window (1M).

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

Questions

Which is better, Muse Glimmer 30B or Qwen3.7 Plus?

Qwen3.7 Plus has the higher public score estimate, 55.78 versus 41.73, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Muse Glimmer 30B or Qwen3.7 Plus?

Qwen3.7 Plus scores higher for coding on the public lane, 43.6 to 36.3. Muse Glimmer 30B and Qwen3.7 Plus are 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, Muse Glimmer 30B or Qwen3.7 Plus?

Qwen3.7 Plus scores higher for agentic tasks on the public lane, 35.2 to 27.6. 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, Muse Glimmer 30B or Qwen3.7 Plus?

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 Qwen3.7 Plus?

Qwen3.7 Plus has the larger documented context window: 1M, compared with 131K.

Benchmark evidence

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

Browse raw public benchmark evidence56 rows

Agentic

MCP Atlas
Muse Glimmer 30B75.5%
Source
Qwen3.7 Plus73.2%
Source
Muse Glimmer 30B leads this result
DeepSearchQA
Muse Glimmer 30B74.6%
Source
Qwen3.7 Plus—
Not directly comparable
skillsBench
Muse Glimmer 30B44.3%
Source
Qwen3.7 Plus—
Not directly comparable
OSWorld-Verified
Muse Glimmer 30B65.9%
Source
Qwen3.7 Plus73.3%
Source
Qwen3.7 Plus leads this result
Terminal-Bench 2.0
Muse Glimmer 30B—
Qwen3.7 Plus70.3%
Source
Not directly comparable
QwenClawBench
Muse Glimmer 30B—
Qwen3.7 Plus61.8%
Source
Not directly comparable
Claw-Eval
Muse Glimmer 30B—
Qwen3.7 Plus62.7%
Source
Not directly comparable
BFCL v4
Muse Glimmer 30B—
Qwen3.7 Plus72.9%
Source
Not directly comparable
VITA-Bench
Muse Glimmer 30B—
Qwen3.7 Plus45.6%
Source
Not directly comparable
DeepPlanning
Muse Glimmer 30B—
Qwen3.7 Plus62.3%
Source
Not directly comparable
AndroidWorld
Muse Glimmer 30B—
Qwen3.7 Plus81.0%
Source
Not directly comparable
OSWorld 2.0
Muse Glimmer 30B—
Qwen3.7 Plus2.8%
Source
Not directly comparable
Terminal-Bench 2.1 (Vals)
Muse Glimmer 30B—
Qwen3.7 Plus52.8%
Source
Not directly comparable

Coding

SWE-bench Pro
Muse Glimmer 30B51.2%
Source
Qwen3.7 Plus57.6%
Source
Qwen3.7 Plus leads this result
SWE-bench Verified
Muse Glimmer 30B76%
Source
Qwen3.7 Plus77.7%
Source
Qwen3.7 Plus leads this result
Terminal-Bench 2.1
Muse Glimmer 30B51.7%
Source
Qwen3.7 Plus—
Not directly comparable
SciCode
Muse Glimmer 30B43.6%
Source
Qwen3.7 Plus51.3%
Source
Qwen3.7 Plus leads this result
Terminal-Bench 2.0
Muse Glimmer 30B—
Qwen3.7 Plus70.3%
Source
Not directly comparable
SWE Multilingual
Muse Glimmer 30B—
Qwen3.7 Plus75.8%
Source
Not directly comparable
NL2Repo
Muse Glimmer 30B—
Qwen3.7 Plus41.1%
Source
Not directly comparable
LiveCodeBench
Muse Glimmer 30B—
Qwen3.7 Plus89.6%
Source
Not directly comparable

Reasoning

CritPt
Muse Glimmer 30B—
Qwen3.7 Plus9.1%
Source
Not directly comparable
MRCRv2
Muse Glimmer 30B—
Qwen3.7 Plus91.7%
Source
Not directly comparable

Multimodal

CharXiv
Muse Glimmer 30B78.8%
Source
Qwen3.7 Plus85.9%
Source
Qwen3.7 Plus leads this result
ScreenSpot Pro
Muse Glimmer 30B75.4%
Source
Qwen3.7 Plus79.0%
Source
Qwen3.7 Plus leads this result
OmniDocBench 1.5
Muse Glimmer 30B75.8%
Source
Qwen3.7 Plus91.4%
Source
Qwen3.7 Plus leads this result
MMMU-Pro
Muse Glimmer 30B74%
Source
Qwen3.7 Plus79%
Source
Qwen3.7 Plus leads this result
MathVision
Muse Glimmer 30B—
Qwen3.7 Plus90.3%
Source
Not directly comparable
ERQA
Muse Glimmer 30B—
Qwen3.7 Plus69.8%
Source
Not directly comparable
MedXpertQA (MM)
Muse Glimmer 30B—
Qwen3.7 Plus71.0%
Source
Not directly comparable
SimpleVQA
Muse Glimmer 30B—
Qwen3.7 Plus81.7%
Source
Not directly comparable
MMSearch-Plus
Muse Glimmer 30B—
Qwen3.7 Plus41.4%
Source
Not directly comparable
RealWorldQA
Muse Glimmer 30B—
Qwen3.7 Plus86.9%
Source
Not directly comparable
OCRBench V2
Muse Glimmer 30B—
Qwen3.7 Plus70.7%
Source
Not directly comparable
ODINW13
Muse Glimmer 30B—
Qwen3.7 Plus51.1%
Source
Not directly comparable
Video-MME (with subtitle)
Muse Glimmer 30B—
Qwen3.7 Plus88.0%
Source
Not directly comparable
VideoMMMU
Muse Glimmer 30B—
Qwen3.7 Plus85.4%
Source
Not directly comparable
MLVU (M-Avg)
Muse Glimmer 30B—
Qwen3.7 Plus87.4%
Source
Not directly comparable

Knowledge

GPQA
Muse Glimmer 30B—
Qwen3.7 Plus90.3%
Source
Not directly comparable
GPQA-D
Muse Glimmer 30B—
Qwen3.7 Plus90.3%
Source
Not directly comparable
HLE
Muse Glimmer 30B—
Qwen3.7 Plus34.7%
Source
Not directly comparable
MMLU-Pro
Muse Glimmer 30B—
Qwen3.7 Plus88.5%
Source
Not directly comparable
MMLU-Redux
Muse Glimmer 30B—
Qwen3.7 Plus94.5%
Source
Not directly comparable
SuperGPQA
Muse Glimmer 30B—
Qwen3.7 Plus71.4%
Source
Not directly comparable
MMMLU
Muse Glimmer 30B—
Qwen3.7 Plus89.0%
Source
Not directly comparable

Multilingual

MMLU-ProX
Muse Glimmer 30B—
Qwen3.7 Plus85.4%
Source
Not directly comparable
NOVA-63
Muse Glimmer 30B—
Qwen3.7 Plus58.8%
Source
Not directly comparable
INCLUDE
Muse Glimmer 30B—
Qwen3.7 Plus83.0%
Source
Not directly comparable
MAXIFE
Muse Glimmer 30B—
Qwen3.7 Plus88.8%
Source
Not directly comparable
PolyMath
Muse Glimmer 30B—
Qwen3.7 Plus84.0%
Source
Not directly comparable

Instruction following

IFBench
Muse Glimmer 30B77%
Source
Qwen3.7 Plus79.1%
Source
Qwen3.7 Plus leads this result
IFEval
Muse Glimmer 30B—
Qwen3.7 Plus94.6%
Source
Not directly comparable

Math

AIME26
Muse Glimmer 30B94.7%
Source
Qwen3.7 Plus—
Not directly comparable
HMMT Feb 2026
Muse Glimmer 30B—
Qwen3.7 Plus92.9%
Source
Not directly comparable
IMOAnswerBench
Muse Glimmer 30B—
Qwen3.7 Plus86.0%
Source
Not directly comparable
Apex
Muse Glimmer 30B—
Qwen3.7 Plus22.7%
Source
Not directly comparable

56 public results · 10 shared

Related comparisons

Compare API pricing Read the methodology Open the model selector

Watch Muse Glimmer 30B vs Qwen3.7 Plus

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

Read a sample issue

Join 2,000+ readers.

Last updated September 24, 2026

Muse Glimmer 30B vs Qwen3.7 Plus

Decision reading

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Multimodal

Instruction following

Agentic

Coding

Knowledge

Reasoning

Multilingual

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, Muse Glimmer 30B or Qwen3.7 Plus?

Which is better for coding, Muse Glimmer 30B or Qwen3.7 Plus?

Which is better for agentic tasks, Muse Glimmer 30B or Qwen3.7 Plus?

Which costs less, Muse Glimmer 30B or Qwen3.7 Plus?

Which has the larger context window, Muse Glimmer 30B or Qwen3.7 Plus?

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

Related comparisons

Watch Muse Glimmer 30B vs Qwen3.7 Plus