Instruction following
Like-for-like- Nemotron 3 Nano Omni 30B A3B
- 72.4
- #62/124
- Qwen3.8-Omni-Flash
- 87.7
- #29/124
- Basis
- Provisional lane · 1 vs 1 weighted rows
- Reading
- Qwen3.8-Omni-Flash leads
Nemotron 3 Nano Omni 30B A3B vs Qwen3.8-Omni-Flash
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.
4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
NVIDIA
40.89/100
Estimated · Public rank #184
90% interval 29.4–52.4
Updated September 18, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Share or export
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
Qwen3.8-Omni-Flash
Qwen3.8-Omni-Flash 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
Nemotron 3 Nano Omni 30B A3B and Qwen3.8-Omni-Flash 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
Qwen3.8-Omni-Flash 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
A complete comparable API-rate estimate is not available for both models.
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
12 Nemotron 3 Nano Omni 30B A3B only
4 Shared
15 Qwen3.8-Omni-Flash only
- Shared results
- 4
- Nemotron 3 Nano Omni 30B A3B only
- 12
- Qwen3.8-Omni-Flash only
- 15
- Like-for-like categories
- 1 / 8
2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign 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.
Coding
Directional only- Nemotron 3 Nano Omni 30B A3B
- 40.6
- Estimated · #118/154
- Qwen3.8-Omni-Flash
- 53.5
- Estimated · #45/154
- Basis
- BenchAlign lane · 2 vs 5 public rows
- Reading
- Directional only
Knowledge
Directional only- Nemotron 3 Nano Omni 30B A3B
- 38.8
- Supported · #146/184
- Qwen3.8-Omni-Flash
- 54.9
- Estimated · #54/184
- Basis
- BenchAlign lane · 3 vs 3 public rows
- Reading
- Directional only
Agentic
Not comparable- Nemotron 3 Nano Omni 30B A3B
- 44.7
- Estimated · #91/154
- Qwen3.8-Omni-Flash
- Not ranked
- Basis
- BenchAlign lane · 2 vs 2 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Nemotron 3 Nano Omni 30B A3B
- 48.3
- Unranked · 2 rankable rows
- Qwen3.8-Omni-Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Qwen3.8-Omni-Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Nemotron 3 Nano Omni 30B A3B
- Not ranked
- Qwen3.8-Omni-Flash
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Nemotron 3 Nano Omni 30B A3B
- 39.3
- #42/48
- Qwen3.8-Omni-Flash
- 85.1
- Unranked · 7 rankable rows
- Basis
- Provisional lane · 1 vs 1 weighted rows
- Reading
- Not comparable
| Category | Nemotron 3 Nano Omni 30B A3B | Qwen3.8-Omni-Flash | Basis | Reading |
|---|---|---|---|---|
| Instruction following | 72.4#62/124 | 87.7#29/124 | Like-for-likeProvisional lane · 1 vs 1 weighted rows | Qwen3.8-Omni-Flash leads |
| Coding | 40.6Estimated · #118/154 | 53.5Estimated · #45/154 | Directional onlyBenchAlign lane · 2 vs 5 public rows | Directional only |
| Knowledge | 38.8Supported · #146/184 | 54.9Estimated · #54/184 | Directional onlyBenchAlign lane · 3 vs 3 public rows | Directional only |
| Agentic | 44.7Estimated · #91/154 | Not ranked | Not comparableBenchAlign lane · 2 vs 2 public rows | Not comparable |
| Reasoning | 48.3Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 39.3#42/48 | 85.1Unranked · 7 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) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
GPQA
Knowledge
Nemotron 3 Nano Omni 30B A3B: 72.2%Qwen3.8-Omni-Flash: 91%Normalized gap 18.8Nemotron 3 Nano Omni 30B A3B source Qwen3.8-Omni-Flash sourceCharXiv
Multimodal
Nemotron 3 Nano Omni 30B A3B: 76.3%Qwen3.8-Omni-Flash: 91.4%Normalized gap 15.2Nemotron 3 Nano Omni 30B A3B source Qwen3.8-Omni-Flash sourceIFBench
Instruction following
Nemotron 3 Nano Omni 30B A3B: 74.2%Qwen3.8-Omni-Flash: 81.5%Normalized gap 7.3Nemotron 3 Nano Omni 30B A3B source Qwen3.8-Omni-Flash source
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
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Qwen3.8-Omni-Flash
- API rate not published
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate. Qwen3.8-Omni-Flash has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Qwen3.8-Omni-Flash
- API rate not published
- Fits in one request
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate. Qwen3.8-Omni-Flash has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Nemotron 3 Nano Omni 30B A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- Qwen3.8-Omni-Flash
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Nemotron 3 Nano Omni 30B A3B has no comparable published API token rate. Qwen3.8-Omni-Flash 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.
SpecificationNemotron 3 Nano Omni 30B A3BQwen3.8-Omni-Flash
Context window
Maximum documented context; output-token limits may be lower.
Nemotron 3 Nano Omni 30B A3B
256K
Qwen3.8-Omni-Flash
API model ID
Nemotron 3 Nano Omni 30B A3B
Not sourced
Qwen3.8-Omni-Flash
qwen3.8-omni-flash
Alibaba Cloud Model Studio pricingCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Nemotron 3 Nano Omni 30B A3B
No comparable hosted API rate
Qwen3.8-Omni-Flash
No comparable hosted API rate
Alibaba Cloud Model Studio pricingDocumented inputs
Nemotron 3 Nano Omni 30B A3B
Not sourced
Qwen3.8-Omni-Flash
Not sourced
Documented outputs
Nemotron 3 Nano Omni 30B A3B
Not sourced
Qwen3.8-Omni-Flash
Not sourced
Provider availability
Nemotron 3 Nano Omni 30B A3B
Not sourced
Qwen3.8-Omni-Flash
Not sourced
Reasoning profile
Nemotron 3 Nano Omni 30B A3B
Reasoning
Qwen3.8-Omni-Flash
Reasoning
Weight access
Nemotron 3 Nano Omni 30B A3B
Open Weight
Qwen3.8-Omni-Flash
Proprietary
License
Nemotron 3 Nano Omni 30B A3B
Open Weight
Qwen3.8-Omni-Flash
Proprietary
Release date
Nemotron 3 Nano Omni 30B A3B
2026-04-28
Qwen3.8-Omni-Flash
2026-09-18
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
- Qwen3.8-Omni-Flash 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 evidence31 rows
Agentic
OSWorld
Nemotron 3 Nano Omni 30B A3B47.4%SourceQwen3.8-Omni-Flash—Not directly comparable
τ²-bench results
Nemotron 3 Nano Omni 30B A3B45.3%SourceQwen3.8-Omni-Flash—Not directly comparable
CoWorkBench
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash75.3%SourceNot directly comparable
AndroidWorld
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash87.1%SourceNot directly comparable
Coding
LiveCodeBench v5
Nemotron 3 Nano Omni 30B A3B63.2%SourceQwen3.8-Omni-Flash—Not directly comparable
SciCode
Nemotron 3 Nano Omni 30B A3B32%SourceQwen3.8-Omni-Flash—Not directly comparable
SWE-bench Pro
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash63.3%SourceNot directly comparable
SWE Multilingual
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash80.5%SourceNot directly comparable
NL2Repo
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash48.9%SourceNot directly comparable
DeepSWE
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash57.8%SourceNot directly comparable
LiveCodeBench v6
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash92.6%SourceNot directly comparable
Knowledge
MMLU-Pro
Nemotron 3 Nano Omni 30B A3B77.3%SourceQwen3.8-Omni-Flash—Not directly comparable
GPQA
Nemotron 3 Nano Omni 30B A3B72.2%SourceQwen3.8-Omni-Flash91%SourceQwen3.8-Omni-Flash leads this result
GPQA-D
Nemotron 3 Nano Omni 30B A3B72.2%SourceQwen3.8-Omni-Flash91.0%SourceQwen3.8-Omni-Flash leads this result
HLE
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash36.5%SourceNot directly comparable
Math
AIME 2025
Nemotron 3 Nano Omni 30B A3B82.1%SourceQwen3.8-Omni-Flash—Not directly comparable
Multimodal
MMMU
Nemotron 3 Nano Omni 30B A3B70.8%SourceQwen3.8-Omni-Flash—Not directly comparable
MMLongBench-Doc
Nemotron 3 Nano Omni 30B A3B57.5%SourceQwen3.8-Omni-Flash—Not directly comparable
CharXiv
Nemotron 3 Nano Omni 30B A3B76.3%SourceQwen3.8-Omni-Flash91.4%SourceQwen3.8-Omni-Flash leads this result
ScreenSpot Pro
Nemotron 3 Nano Omni 30B A3B57.8%SourceQwen3.8-Omni-Flash—Not directly comparable
Video-MME (w/o subtitle)
Nemotron 3 Nano Omni 30B A3B72.2%SourceQwen3.8-Omni-Flash—Not directly comparable
AI2D_TEST
Nemotron 3 Nano Omni 30B A3B88.5%SourceQwen3.8-Omni-Flash—Not directly comparable
RefCOCO (avg)
Nemotron 3 Nano Omni 30B A3B90.5%SourceQwen3.8-Omni-Flash—Not directly comparable
Vision2Web
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash62.9%SourceNot directly comparable
ERQA
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash71.0%SourceNot directly comparable
LVBench
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash76.9%SourceNot directly comparable
RealWorldQA
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash87.7%SourceNot directly comparable
MathVision
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash91.8%SourceNot directly comparable
MathVision w/ Python
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash96.2%SourceNot directly comparable
CharXiv w/o tools
Nemotron 3 Nano Omni 30B A3B—Qwen3.8-Omni-Flash83.5%SourceNot directly comparable
Instruction following
Questions
Which is better, Nemotron 3 Nano Omni 30B A3B or Qwen3.8-Omni-Flash?
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, Nemotron 3 Nano Omni 30B A3B or Qwen3.8-Omni-Flash?
Qwen3.8-Omni-Flash scores higher for coding on the public lane, 53.5 to 40.6. Nemotron 3 Nano Omni 30B A3B and Qwen3.8-Omni-Flash 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, Nemotron 3 Nano Omni 30B A3B or Qwen3.8-Omni-Flash?
Qwen3.8-Omni-Flash is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Nemotron 3 Nano Omni 30B A3B or Qwen3.8-Omni-Flash?
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, Nemotron 3 Nano Omni 30B A3B or Qwen3.8-Omni-Flash?
Qwen3.8-Omni-Flash has the larger documented context window: 1M, compared with 256K.
Related comparisons
Last updated September 18, 2026
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