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Nemotron 3.5 Super VL 120B A12B NVFP4
Nemotron 3.5 Super VL 120B A12B NVFP4 has the larger documented context window.
Confidence: documented
Ling 3.0 Flash vs Nemotron 3.5 Super VL 120B A12B NVFP4
Updated October 15, 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
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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. 6 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Model B
NVIDIA
—
Evidence status unavailable
90% interval unavailable
- Shared results
- 6
- Ling 3.0 Flash only
- 18
- Nemotron 3.5 Super VL 120B A12B NVFP4 only
- 12
- Like-for-like categories
- 1 / 8
Estimated: Ling 3.0 Flash. 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.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Nemotron 3.5 Super VL 120B A12B NVFP4 is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Nemotron 3.5 Super VL 120B A12B NVFP4 is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedChat 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-ratesCache-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-ratesRepository 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.
31.7Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP4
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.
18 Ling 3.0 Flash only
6 Shared
12 Nemotron 3.5 Super VL 120B A12B NVFP4 only
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.
HLEKnowledge
Normalized gap 6.3Ling 3.0 Flash:22.7%Nemotron 3.5 Super VL 120B A12B NVFP4:29%SWE MultilingualCoding
Normalized gap 5.4Ling 3.0 Flash:72.4%Nemotron 3.5 Super VL 120B A12B NVFP4:67%SWE-bench ProCoding
Normalized gap 5.3Ling 3.0 Flash:56.6%Nemotron 3.5 Super VL 120B A12B NVFP4:51.3%BrowseCompAgentic
Normalized gap 5.3Ling 3.0 Flash:72.2%Nemotron 3.5 Super VL 120B A12B NVFP4:77.5%IFBenchInstruction following
Normalized gap 3.0Ling 3.0 Flash:74.5%Nemotron 3.5 Super VL 120B A12B NVFP4:71.5%
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.
Instruction following
Like-for-like- Ling 3.0 Flash
- 75.2
- #65/146
- Nemotron 3.5 Super VL 120B A12B NVFP4
- 68.1
- #71/146
- Basis
- Provisional lane · 1 vs 1 weighted rows
- Reading
- Ling 3.0 Flash leads
Agentic
Not comparable- Ling 3.0 Flash
- 33.6
- Supported · #83/127
- Nemotron 3.5 Super VL 120B A12B NVFP4
- Not ranked
- Basis
- BenchAlign v5.8 lane · 9 vs 4 public rows
- Reading
- Not comparable
Coding
Not comparable- Ling 3.0 Flash
- 31.7
- Supported · #89/150
- Nemotron 3.5 Super VL 120B A12B NVFP4
- Not ranked
- Basis
- BenchAlign v5.8 lane · 6 vs 4 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Ling 3.0 Flash
- 76.0
- Unranked · 2 rankable rows
- Nemotron 3.5 Super VL 120B A12B NVFP4
- 72.4
- Unranked · 1 rankable row
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Ling 3.0 Flash
- Not ranked
- Nemotron 3.5 Super VL 120B A12B NVFP4
- 59.5
- Unranked · 5 rankable rows
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Ling 3.0 Flash
- 43.6
- Supported · #105/184
- Nemotron 3.5 Super VL 120B A12B NVFP4
- Not ranked
- Basis
- BenchAlign v5.8 lane · 5 vs 3 public rows
- Reading
- Not comparable
Multilingual
Not comparable- Ling 3.0 Flash
- Not ranked
- Nemotron 3.5 Super VL 120B A12B NVFP4
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Ling 3.0 Flash
- 81.1
- Unranked · 3 rankable rows
- Nemotron 3.5 Super VL 120B A12B NVFP4
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
| Category | Ling 3.0 Flash | Nemotron 3.5 Super VL 120B A12B NVFP4 | Basis | Reading |
|---|---|---|---|---|
| Instruction following | 75.2#65/146 | 68.1#71/146 | Like-for-likeProvisional lane · 1 vs 1 weighted rows | Ling 3.0 Flash leads |
| Agentic | 33.6Supported · #83/127 | Not ranked | Not comparableBenchAlign v5.8 lane · 9 vs 4 public rows | Not comparable |
| Coding | 31.7Supported · #89/150 | Not ranked | Not comparableBenchAlign v5.8 lane · 6 vs 4 public rows | Not comparable |
| Reasoning | 76.0Unranked · 2 rankable rows | 72.4Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | 59.5Unranked · 5 rankable rows | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Knowledge | 43.6Supported · #105/184 | Not ranked | Not comparableBenchAlign v5.8 lane · 5 vs 3 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 81.1Unranked · 3 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | 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.
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
- Ling 3.0 Flash
- API rate not published
- Fits in one request
- Nemotron 3.5 Super VL 120B A12B NVFP4
- API rate not published
- Fits in one request
Ling 3.0 Flash has no comparable published API token rate. Nemotron 3.5 Super VL 120B A12B NVFP4 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Ling 3.0 Flash
- API rate not published
- Fits in one request
- Nemotron 3.5 Super VL 120B A12B NVFP4
- API rate not published
- Fits in one request
Ling 3.0 Flash has no comparable published API token rate. Nemotron 3.5 Super VL 120B A12B NVFP4 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Ling 3.0 Flash
- API rate not published
- Fits in one request
- Cached-input rate unavailable
- Nemotron 3.5 Super VL 120B A12B NVFP4
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Ling 3.0 Flash has no comparable published API token rate. Nemotron 3.5 Super VL 120B A12B NVFP4 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.
SpecificationLing 3.0 FlashNemotron 3.5 Super VL 120B A12B NVFP4
Context window
Maximum documented context; output-token limits may be lower.
Ling 3.0 Flash
Nemotron 3.5 Super VL 120B A12B NVFP4
API model ID
Ling 3.0 Flash
Not sourced
Nemotron 3.5 Super VL 120B A12B NVFP4
nvidia/nemotron-3.5-super-vl-120b-a12b
NVIDIA Build NVFP4 endpointCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Ling 3.0 Flash
No comparable hosted API rate
InclusionAI Ling 3.0 Flash model cardNemotron 3.5 Super VL 120B A12B NVFP4
No comparable hosted API rate
NVIDIA Build model listingDocumented inputs
Ling 3.0 Flash
Not sourced
Nemotron 3.5 Super VL 120B A12B NVFP4
text, image, video
NVIDIA NVFP4 model cardDocumented outputs
Ling 3.0 Flash
Not sourced
Nemotron 3.5 Super VL 120B A12B NVFP4
Provider availability
Ling 3.0 Flash
Not sourced
Nemotron 3.5 Super VL 120B A12B NVFP4
Open Weights · Hugging Face, self-hosted inference, NVIDIA Build early access
NVIDIA NVFP4 model cardReasoning profile
Ling 3.0 Flash
Reasoning
Nemotron 3.5 Super VL 120B A12B NVFP4
Reasoning
Weight access
Ling 3.0 Flash
Open Weight
Nemotron 3.5 Super VL 120B A12B NVFP4
Open Weight
License
Ling 3.0 Flash
Open Weight
Nemotron 3.5 Super VL 120B A12B NVFP4
Open Weight
Release date
Ling 3.0 Flash
2026-07-23
Nemotron 3.5 Super VL 120B A12B NVFP4
2026-10-15
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
- Nemotron 3.5 Super VL 120B A12B NVFP4 has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Ling 3.0 Flash or Nemotron 3.5 Super VL 120B A12B NVFP4?
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, Ling 3.0 Flash or Nemotron 3.5 Super VL 120B A12B NVFP4?
Nemotron 3.5 Super VL 120B A12B NVFP4 is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Ling 3.0 Flash or Nemotron 3.5 Super VL 120B A12B NVFP4?
Nemotron 3.5 Super VL 120B A12B NVFP4 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Ling 3.0 Flash or Nemotron 3.5 Super VL 120B A12B NVFP4?
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, Ling 3.0 Flash or Nemotron 3.5 Super VL 120B A12B NVFP4?
Nemotron 3.5 Super VL 120B A12B NVFP4 has the larger documented context window: 1M, compared with 262K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence36 rows
Agentic
MCP Atlas
Ling 3.0 Flash65.5%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
skillsBench
Ling 3.0 Flash44.8%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
BFCL v4
Ling 3.0 Flash73.0%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
WideResearch
Ling 3.0 Flash73.6%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
BrowseComp
Ling 3.0 Flash72.2%SourceNemotron 3.5 Super VL 120B A12B NVFP477.5%SourceNemotron 3.5 Super VL 120B A12B NVFP4 leads this result
DRACO
Ling 3.0 Flash70.4%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
Terminal-Bench 2.1 (Vals)
Ling 3.0 Flash50.2%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
Hermes Index
Ling 3.0 Flash21.6%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
Hermes Bench
Ling 3.0 Flash53.8%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
Terminal-Bench 2.1
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP460.8%SourceNot directly comparable
τ²-bench Airline
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP475.8%SourceNot directly comparable
τ³-bench results
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP417.8%SourceNot directly comparable
Coding
SWE-bench Pro
Ling 3.0 Flash56.6%SourceNemotron 3.5 Super VL 120B A12B NVFP451.3%SourceLing 3.0 Flash leads this result
SWE Multilingual
Ling 3.0 Flash72.4%SourceNemotron 3.5 Super VL 120B A12B NVFP467%SourceLing 3.0 Flash leads this result
LiveCodeBench v5
Ling 3.0 Flash82.8%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
SciCode
Ling 3.0 Flash41.2%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
LiveCodeBench (Vals)
Ling 3.0 Flash84.0%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
SWE-bench (Vals)
Ling 3.0 Flash65.2%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
LiveCodeBench v6
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP487.4%SourceNot directly comparable
SWE-bench Verified
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP471.1%SourceNot directly comparable
Multimodal
BabyVision
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP429.5%SourceNot directly comparable
MMLongBench-Doc
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP462.8%SourceNot directly comparable
V*
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP486.0%SourceNot directly comparable
MathVision
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP477.8%SourceNot directly comparable
CharXiv
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP479.9%SourceNot directly comparable
Knowledge
GPQA
Ling 3.0 Flash85.0%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
GPQA-D
Ling 3.0 Flash85.0%SourceNemotron 3.5 Super VL 120B A12B NVFP489.9%SourceNemotron 3.5 Super VL 120B A12B NVFP4 leads this result
HLE
Ling 3.0 Flash22.7%SourceNemotron 3.5 Super VL 120B A12B NVFP429%SourceNemotron 3.5 Super VL 120B A12B NVFP4 leads this result
GPQA Diamond (Vals)
Ling 3.0 Flash84.8%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
MMLU-Pro (Vals)
Ling 3.0 Flash82.0%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
HLE w/o tools
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP431.4%SourceNot directly comparable
Instruction following
Math
AIME26
Ling 3.0 Flash93.2%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
HMMT Feb 2026
Ling 3.0 Flash87.0%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
IMOAnswerBench
Ling 3.0 Flash83.7%SourceNemotron 3.5 Super VL 120B A12B NVFP4—Not directly comparable
Apex Shortlist
Ling 3.0 Flash—Nemotron 3.5 Super VL 120B A12B NVFP489.4%SourceNot directly comparable
36 public results · 6 shared
Watch Ling 3.0 Flash vs Nemotron 3.5 Super VL 120B A12B NVFP4
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Last updated October 15, 2026