Instruction following
Like-for-like- Muse Glimmer 30B
- 77.0
- Nemotron 3 Nano Omni 30B A3B
- 74.2
- Weighted basis
- 1 vs 1 rows
- Reading
- Muse Glimmer 30B leads
Provider changes are easy to miss. Radar watches releases, pricing, deprecations, and incidents at the source.Provider changes are easy to miss.
See RadarModel comparison
Updated August 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
4 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Prompts that approach the documented context limit
Nemotron 3 Nano Omni 30B A3B
Nemotron 3 Nano Omni 30B A3B has the larger documented context window.
Confidence: documented
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
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
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
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. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Confidence: listed-rates
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
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
| Category | Muse Glimmer 30B | Nemotron 3 Nano Omni 30B A3B | Weighted basis | Reading |
|---|---|---|---|---|
| Instruction following | 77.0 | 74.2 | Like-for-like1 vs 1 rows | Muse Glimmer 30B leads |
| Coding | 57.8 | 32.0 | Directional only3 vs 1 rows | Directional only |
| Multimodal | 75.7 | 76.3 | Directional only2 vs 1 rows | Directional only |
| Agentic | 65.9 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | 76.3 | Not comparable0 vs 2 rows | Not comparable |
| Math | 94.7 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
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.
SciCode
Coding
IFBench
Instruction following
CharXiv
Multimodal
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.
1K fresh input + 500 output tokens
Muse Glimmer 30B has no comparable published API token rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
50K fresh input + 3K output tokens
Muse Glimmer 30B has no comparable published API token rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Muse Glimmer 30B does not fit this workload in one request. Muse Glimmer 30B has no comparable published API token rate. Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Muse Glimmer 30B
131K
Nemotron 3 Nano Omni 30B A3B
256K
Muse Glimmer 30B
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
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
Nemotron 3 Nano Omni 30B A3B
No comparable hosted API rate
Muse Glimmer 30B
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Muse Glimmer 30B
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Muse Glimmer 30B
Not sourced
Nemotron 3 Nano Omni 30B A3B
Not sourced
Muse Glimmer 30B
Reasoning
Nemotron 3 Nano Omni 30B A3B
Reasoning
Muse Glimmer 30B
Open Weight
Nemotron 3 Nano Omni 30B A3B
Open Weight
Muse Glimmer 30B
Open Weight
Nemotron 3 Nano Omni 30B A3B
Open Weight
Muse Glimmer 30B
2026-08-10
Nemotron 3 Nano Omni 30B A3B
2026-04-28
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
MCP Atlas
Not directly comparable
DeepSearchQA
Not directly comparable
skillsBench
Not directly comparable
OSWorld-Verified
Not directly comparable
OSWorld
Not directly comparable
τ²-bench results
Not directly comparable
SWE-bench Pro
Not directly comparable
SWE-bench Verified
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
SciCode
Muse Glimmer 30B leads this result
LiveCodeBench v5
Not directly comparable
CharXiv
Muse Glimmer 30B leads this result
ScreenSpot Pro
Muse Glimmer 30B leads this result
OmniDocBench 1.5
Not directly comparable
MMMU-Pro
Not directly comparable
MMMU
Not directly comparable
MMLongBench-Doc
Not directly comparable
Video-MME (w/o subtitle)
Not directly comparable
AI2D_TEST
Not directly comparable
RefCOCO (avg)
Not directly comparable
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.
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.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Nemotron 3 Nano Omni 30B A3B has the larger documented context window: 256K, compared with 131K.
Last updated August 10, 2026
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