Updated October 15, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty. This is a same-family comparison, so migration details appear when the source data supports them.
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At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 18 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
NVIDIA
49.51/100
Estimated · Public rank #97
Conditional range 35.2–63.9
NVIDIA
—
Evidence status unavailable
90% interval unavailable
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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Nemotron 3.5 Super VL 120B A12B and Nemotron 3.5 Super VL 120B A12B NVFP4 are not ranked on the public lane for coding, so no winner is named for coding.
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.
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
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.
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.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
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.
CharXivMultimodal
Normalized gap 0.9SWE MultilingualCoding
Normalized gap 0.7IFBenchInstruction following
Normalized gap 0.6BrowseCompAgentic
Normalized gap 0.5SWE-bench ProCoding
Normalized gap 0.5Each 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.
| Category | Nemotron 3.5 Super VL 120B A12B | Nemotron 3.5 Super VL 120B A12B NVFP4 | Basis | Reading |
|---|---|---|---|---|
| Instruction following | 66.6#72/146 | 68.1#71/146 | Like-for-likeProvisional lane · 1 vs 1 weighted rows | Nemotron 3.5 Super VL 120B A12B NVFP4 leads |
| Agentic | 44.2Estimated · #61/127 | Not ranked | Not comparableBenchAlign v5.8 lane · 4 vs 4 public rows | Not comparable |
| Coding | Not ranked | Not ranked | Not comparableBenchAlign v5.8 lane · 4 vs 4 public rows | Not comparable |
| Reasoning | 73.0Unranked · 2 rankable rows | 72.4Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 62.0Unranked · 5 rankable rows | 59.5Unranked · 5 rankable rows | Not comparableProvisional lane · 1 vs 1 weighted rows | Not comparable |
| Knowledge | 51.8Estimated · #73/184 | Not ranked | Not comparableBenchAlign v5.8 lane · 3 vs 3 public rows | Not comparable |
| Multilingual | Not ranked | 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 |
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.
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
Nemotron 3.5 Super VL 120B A12B has no comparable published API token rate. Nemotron 3.5 Super VL 120B A12B NVFP4 has no comparable published API token rate.
50K fresh input + 3K output tokens
Nemotron 3.5 Super VL 120B A12B has no comparable published API token rate. Nemotron 3.5 Super VL 120B A12B NVFP4 has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Nemotron 3.5 Super VL 120B A12B has no comparable published API token rate. Nemotron 3.5 Super VL 120B A12B NVFP4 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.
Nemotron 3.5 Super VL 120B A12B
Nemotron 3.5 Super VL 120B A12B NVFP4
Nemotron 3.5 Super VL 120B A12B
Not sourced
Nemotron 3.5 Super VL 120B A12B NVFP4
nvidia/nemotron-3.5-super-vl-120b-a12b
NVIDIA Build NVFP4 endpointA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Nemotron 3.5 Super VL 120B A12B
No comparable hosted API rate
NVIDIA Hugging Face model cardNemotron 3.5 Super VL 120B A12B NVFP4
No comparable hosted API rate
NVIDIA Build model listingNemotron 3.5 Super VL 120B A12B
text, image, video
NVIDIA BF16 model cardNemotron 3.5 Super VL 120B A12B NVFP4
text, image, video
NVIDIA NVFP4 model cardNemotron 3.5 Super VL 120B A12B
Nemotron 3.5 Super VL 120B A12B NVFP4
Nemotron 3.5 Super VL 120B A12B
Open Weights · Hugging Face, self-hosted inference
NVIDIA BF16 model cardNemotron 3.5 Super VL 120B A12B NVFP4
Open Weights · Hugging Face, self-hosted inference, NVIDIA Build early access
NVIDIA NVFP4 model cardNemotron 3.5 Super VL 120B A12B
Reasoning
Nemotron 3.5 Super VL 120B A12B NVFP4
Reasoning
Nemotron 3.5 Super VL 120B A12B
Open Weight
Nemotron 3.5 Super VL 120B A12B NVFP4
Open Weight
Nemotron 3.5 Super VL 120B A12B
Open Weight
Nemotron 3.5 Super VL 120B A12B NVFP4
Open Weight
Nemotron 3.5 Super VL 120B A12B
2026-10-15
Nemotron 3.5 Super VL 120B A12B NVFP4
2026-10-15
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.
Nemotron 3.5 Super VL 120B A12B and Nemotron 3.5 Super VL 120B A12B NVFP4 are not ranked on the public lane for coding, so no winner is named for coding.
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.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Both models list the same context window, 1M.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.1
Nemotron 3.5 Super VL 120B A12B leads this result
τ²-bench Airline
Nemotron 3.5 Super VL 120B A12B leads this result
τ³-bench results
Nemotron 3.5 Super VL 120B A12B leads this result
BrowseComp
Nemotron 3.5 Super VL 120B A12B leads this result
LiveCodeBench v6
Nemotron 3.5 Super VL 120B A12B leads this result
SWE-bench Verified
Nemotron 3.5 Super VL 120B A12B leads this result
SWE Multilingual
Nemotron 3.5 Super VL 120B A12B leads this result
SWE-bench Pro
Nemotron 3.5 Super VL 120B A12B leads this result
CritPt
Not directly comparable
BabyVision
Nemotron 3.5 Super VL 120B A12B leads this result
MMLongBench-Doc
Tie
V*
Nemotron 3.5 Super VL 120B A12B NVFP4 leads this result
MathVision
Nemotron 3.5 Super VL 120B A12B leads this result
CharXiv
Nemotron 3.5 Super VL 120B A12B leads this result
GPQA-D
Nemotron 3.5 Super VL 120B A12B NVFP4 leads this result
HLE w/o tools
Nemotron 3.5 Super VL 120B A12B leads this result
HLE
Nemotron 3.5 Super VL 120B A12B leads this result
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Last updated October 15, 2026