Agentic
Not comparable- Muse Glimmer 30B
- 65.9
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Model comparison
Muse Glimmer 30B vs Qwen3.5 Plus
Updated August 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 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
Qwen3.5 Plus
Qwen3.5 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
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
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. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate. Muse Glimmer 30B has no comparable published API token rate.
Confidence: rate-fallback
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.
14 Muse Glimmer 30B only
4 Qwen3.5 Plus only
- Shared results
- 0
- Muse Glimmer 30B only
- 14
- Qwen3.5 Plus only
- 4
- Like-for-like categories
- 0 / 8
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.
Coding
Not comparable- Muse Glimmer 30B
- 57.8
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 3 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Muse Glimmer 30B
- Not measured
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Muse Glimmer 30B
- Not measured
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- Muse Glimmer 30B
- 94.7
- Qwen3.5 Plus
- 16.3
- Weighted basis
- 1 vs 2 rows
- Reading
- Not comparable
Multilingual
Not comparable- Muse Glimmer 30B
- Not measured
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Muse Glimmer 30B
- 75.7
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Muse Glimmer 30B
- 77.0
- Qwen3.5 Plus
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
| Category | Muse Glimmer 30B | Qwen3.5 Plus | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 65.9 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Coding | 57.8 | Not measured | Not comparable3 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 94.7 | 16.3 | Not comparable1 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 75.7 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Instruction following | 77.0 | Not measured | Not comparable1 vs 0 rows | 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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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
- Qwen3.5 Plus
- $0.0016
- Fits in one request
Muse Glimmer 30B 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
- Qwen3.5 Plus
- $0.0272
- 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
- Muse Glimmer 30B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cached-input rate unavailable
- Qwen3.5 Plus
- $0.112
- Fits in one request
- Cached input priced at the published list-input rate
Muse Glimmer 30B does not fit this workload in one request. Qwen3.5 Plus has no published cached-input rate, so cached tokens use its listed input rate. Muse Glimmer 30B 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.
SpecificationMuse Glimmer 30BQwen3.5 Plus
Context window
Maximum documented context; output-token limits may be lower.
Muse Glimmer 30B
131K
Qwen3.5 Plus
1M
API model ID
Muse Glimmer 30B
Not sourced
Qwen3.5 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
Qwen3.5 Plus
Not published
Documented inputs
Muse Glimmer 30B
Not sourced
Qwen3.5 Plus
Not sourced
Documented outputs
Muse Glimmer 30B
Not sourced
Qwen3.5 Plus
Not sourced
Provider availability
Muse Glimmer 30B
Not sourced
Qwen3.5 Plus
Not sourced
Reasoning profile
Muse Glimmer 30B
Reasoning
Qwen3.5 Plus
Reasoning
Weight access
Muse Glimmer 30B
Open Weight
Qwen3.5 Plus
Proprietary
License
Muse Glimmer 30B
Open Weight
Qwen3.5 Plus
Proprietary
Release date
Muse Glimmer 30B
2026-08-10
Qwen3.5 Plus
2026-03-04
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
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Qwen3.5 Plus 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 evidence18 rows
Agentic
MCP Atlas
Muse Glimmer 30B75.5%SourceQwen3.5 Plus—Not directly comparable
DeepSearchQA
Muse Glimmer 30B74.6%SourceQwen3.5 Plus—Not directly comparable
skillsBench
Muse Glimmer 30B44.3%SourceQwen3.5 Plus—Not directly comparable
OSWorld-Verified
Muse Glimmer 30B65.9%SourceQwen3.5 Plus—Not directly comparable
JobBench
Muse Glimmer 30B—Qwen3.5 Plus18.5%SourceNot directly comparable
Coding
SWE-bench Pro
Muse Glimmer 30B51.2%SourceQwen3.5 Plus—Not directly comparable
SWE-bench Verified
Muse Glimmer 30B76%SourceQwen3.5 Plus—Not directly comparable
Terminal-Bench 2.1
Muse Glimmer 30B51.7%SourceQwen3.5 Plus—Not directly comparable
SciCode
Muse Glimmer 30B43.6%SourceQwen3.5 Plus—Not directly comparable
Vibe Code Bench
Muse Glimmer 30B—Qwen3.5 Plus15.74%SourceNot directly comparable
Math
Multimodal
Instruction following
IFBench
Muse Glimmer 30B77%SourceQwen3.5 Plus—Not directly comparable
Frequently asked questions
Which is better, Muse Glimmer 30B or Qwen3.5 Plus?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Muse Glimmer 30B or Qwen3.5 Plus?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, Muse Glimmer 30B or Qwen3.5 Plus?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, Muse Glimmer 30B or Qwen3.5 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 Qwen3.5 Plus?
Qwen3.5 Plus has the larger documented context window: 1M, compared with 131K.
Related comparisons
Last updated August 10, 2026
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