Nemotron 3.5 Super VL 120B A12B NVFP4 vs Qwen3.7 Plus

Updated October 15, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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. 9 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Nemotron 3.5 Super VL 120B A12B NVFP4

NVIDIA

—

Evidence status unavailable

90% interval unavailable

Model B

Qwen3.7 Plus

Alibaba

53.79/100

Supported · Public rank #76

90% interval 42.7–64.9

Shared results: 9
Nemotron 3.5 Super VL 120B A12B NVFP4 only: 9
Qwen3.7 Plus only: 44
Like-for-like categories: 1 / 8

Supported: Qwen3.7 PlusHow 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.

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.

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: limited
Agentic 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: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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

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.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

—Nemotron 3.5 Super VL 120B A12B NVFP440.5Qwen3.7 Plus

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.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

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.

SWE MultilingualCoding
Normalized gap 8.8
Nemotron 3.5 Super VL 120B A12B NVFP4:67%
Qwen3.7 Plus:75.8%
Nemotron 3.5 Super VL 120B A12B NVFP4 source Qwen3.7 Plus source
IFBenchInstruction following
Normalized gap 7.6
Nemotron 3.5 Super VL 120B A12B NVFP4:71.5%
Qwen3.7 Plus:79.1%
Nemotron 3.5 Super VL 120B A12B NVFP4 source Qwen3.7 Plus source
SWE-bench VerifiedCoding
Normalized gap 6.6
Nemotron 3.5 Super VL 120B A12B NVFP4:71.1%
Qwen3.7 Plus:77.7%
Nemotron 3.5 Super VL 120B A12B NVFP4 source Qwen3.7 Plus source
SWE-bench ProCoding
Normalized gap 6.3
Nemotron 3.5 Super VL 120B A12B NVFP4:51.3%
Qwen3.7 Plus:57.6%
Nemotron 3.5 Super VL 120B A12B NVFP4 source Qwen3.7 Plus source
CharXivMultimodal
Normalized gap 6.0
Nemotron 3.5 Super VL 120B A12B NVFP4:79.9%
Qwen3.7 Plus:85.9%
Nemotron 3.5 Super VL 120B A12B NVFP4 source Qwen3.7 Plus source

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

Nemotron 3.5 Super VL 120B A12B NVFP4: 68.1; #71/146
Qwen3.7 Plus: 92.8; #17/146
Basis: Provisional lane · 1 vs 1 weighted rows
Reading: Qwen3.7 Plus leads

Agentic

Not comparable

Nemotron 3.5 Super VL 120B A12B NVFP4: Not ranked
Qwen3.7 Plus: 35.3; Supported · #80/127
Basis: BenchAlign v5.8 lane · 4 vs 11 public rows
Reading: Not comparable

Coding

Not comparable

Nemotron 3.5 Super VL 120B A12B NVFP4: Not ranked
Qwen3.7 Plus: 40.5; Estimated · #64/150
Basis: BenchAlign v5.8 lane · 4 vs 7 public rows
Reading: Not comparable

Reasoning

Not comparable

Nemotron 3.5 Super VL 120B A12B NVFP4: 72.4; Unranked · 1 rankable row
Qwen3.7 Plus: 80.9; Unranked · 3 rankable rows
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Multimodal

Not comparable

Nemotron 3.5 Super VL 120B A12B NVFP4: 59.5; Unranked · 5 rankable rows
Qwen3.7 Plus: 82.0; #16/54
Basis: Provisional lane · 1 vs 2 weighted rows
Reading: Not comparable

Knowledge

Not comparable

Nemotron 3.5 Super VL 120B A12B NVFP4: Not ranked
Qwen3.7 Plus: 53.5; Estimated · #65/184
Basis: BenchAlign v5.8 lane · 3 vs 7 public rows
Reading: Not comparable

Multilingual

Not comparable

Nemotron 3.5 Super VL 120B A12B NVFP4: Not ranked
Qwen3.7 Plus: 95.7; #3/17
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

Nemotron 3.5 Super VL 120B A12B NVFP4: Not ranked
Qwen3.7 Plus: 64.3; Unranked · 4 rankable rows
Basis: Provisional lane · 0 vs 2 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Nemotron 3.5 Super VL 120B A12B NVFP4 and Qwen3.7 Plus
Category	Nemotron 3.5 Super VL 120B A12B NVFP4	Qwen3.7 Plus	Basis	Reading
Instruction following	68.1#71/146	92.8#17/146	Like-for-likeProvisional lane · 1 vs 1 weighted rows	Qwen3.7 Plus leads
Agentic	Not ranked	35.3Supported · #80/127	Not comparableBenchAlign v5.8 lane · 4 vs 11 public rows	Not comparable
Coding	Not ranked	40.5Estimated · #64/150	Not comparableBenchAlign v5.8 lane · 4 vs 7 public rows	Not comparable
Reasoning	72.4Unranked · 1 rankable row	80.9Unranked · 3 rankable rows	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Multimodal	59.5Unranked · 5 rankable rows	82.0#16/54	Not comparableProvisional lane · 1 vs 2 weighted rows	Not comparable
Knowledge	Not ranked	53.5Estimated · #65/184	Not comparableBenchAlign v5.8 lane · 3 vs 7 public rows	Not comparable
Multilingual	Not ranked	95.7#3/17	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Math	Not ranked	64.3Unranked · 4 rankable rows	Not comparableProvisional lane · 0 vs 2 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

Nemotron 3.5 Super VL 120B A12B NVFP4: API rate not published; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request

Nemotron 3.5 Super VL 120B A12B NVFP4 has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Nemotron 3.5 Super VL 120B A12B NVFP4: API rate not published; Fits in one request
Qwen3.7 Plus: API rate not published; Fits in one request

Nemotron 3.5 Super VL 120B A12B NVFP4 has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Nemotron 3.5 Super VL 120B A12B NVFP4: API rate not published; Fits in one request; Cached-input rate unavailable
Qwen3.7 Plus: API rate not published; Fits in one request; Cached-input rate unavailable

Nemotron 3.5 Super VL 120B A12B NVFP4 has no comparable published API token rate. Qwen3.7 Plus 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.

SpecificationNemotron 3.5 Super VL 120B A12B NVFP4Qwen3.7 Plus

Context window

Maximum documented context; output-token limits may be lower.

Nemotron 3.5 Super VL 120B A12B NVFP4

NVIDIA NVFP4 model card

Qwen3.7 Plus

API model ID

Nemotron 3.5 Super VL 120B A12B NVFP4

nvidia/nemotron-3.5-super-vl-120b-a12b

NVIDIA Build NVFP4 endpoint

Qwen3.7 Plus

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Nemotron 3.5 Super VL 120B A12B NVFP4

No comparable hosted API rate

NVIDIA Build model listing

Qwen3.7 Plus

No comparable hosted API rate

Documented inputs

Nemotron 3.5 Super VL 120B A12B NVFP4

text, image, video

NVIDIA NVFP4 model card

Qwen3.7 Plus

Not sourced

Documented outputs

Nemotron 3.5 Super VL 120B A12B NVFP4

text

NVIDIA NVFP4 model card

Qwen3.7 Plus

Not sourced

Provider availability

Nemotron 3.5 Super VL 120B A12B NVFP4

Open Weights · Hugging Face, self-hosted inference, NVIDIA Build early access

NVIDIA NVFP4 model card

Qwen3.7 Plus

Not sourced

Reasoning profile

Nemotron 3.5 Super VL 120B A12B NVFP4

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

Nemotron 3.5 Super VL 120B A12B NVFP4

Open Weight

Qwen3.7 Plus

Proprietary

License

Nemotron 3.5 Super VL 120B A12B NVFP4

Open Weight

Qwen3.7 Plus

Proprietary

Release date

Nemotron 3.5 Super VL 120B A12B NVFP4

2026-10-15

Qwen3.7 Plus

2026-06-03

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: Both models list 1M.

Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

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 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

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, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

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, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 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, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

Both models list the same context window, 1M.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence62 rows

Agentic

Terminal-Bench 2.1
Nemotron 3.5 Super VL 120B A12B NVFP460.8%
Source
Qwen3.7 Plus—
Not directly comparable
τ²-bench Airline
Nemotron 3.5 Super VL 120B A12B NVFP475.8%
Source
Qwen3.7 Plus—
Not directly comparable
τ³-bench results
Nemotron 3.5 Super VL 120B A12B NVFP417.8%
Source
Qwen3.7 Plus—
Not directly comparable
BrowseComp
Nemotron 3.5 Super VL 120B A12B NVFP477.5%
Source
Qwen3.7 Plus—
Not directly comparable
Terminal-Bench 2.0
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus70.3%
Source
Not directly comparable
QwenClawBench
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus61.8%
Source
Not directly comparable
Claw-Eval
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus62.7%
Source
Not directly comparable
BFCL v4
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus72.9%
Source
Not directly comparable
MCP Atlas
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus73.2%
Source
Not directly comparable
VITA-Bench
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus45.6%
Source
Not directly comparable
DeepPlanning
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus62.3%
Source
Not directly comparable
OSWorld-Verified
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus73.3%
Source
Not directly comparable
AndroidWorld
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus81.0%
Source
Not directly comparable
OSWorld 2.0
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus2.8%
Source
Not directly comparable
Terminal-Bench 2.1 (Vals)
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus52.8%
Source
Not directly comparable

Coding

LiveCodeBench v6
Nemotron 3.5 Super VL 120B A12B NVFP487.4%
Source
Qwen3.7 Plus89.6%
Source
Qwen3.7 Plus leads this result
SWE-bench Verified
Nemotron 3.5 Super VL 120B A12B NVFP471.1%
Source
Qwen3.7 Plus77.7%
Source
Qwen3.7 Plus leads this result
SWE Multilingual
Nemotron 3.5 Super VL 120B A12B NVFP467%
Source
Qwen3.7 Plus75.8%
Source
Qwen3.7 Plus leads this result
SWE-bench Pro
Nemotron 3.5 Super VL 120B A12B NVFP451.3%
Source
Qwen3.7 Plus57.6%
Source
Qwen3.7 Plus leads this result
Terminal-Bench 2.0
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus70.3%
Source
Not directly comparable
NL2Repo
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus41.1%
Source
Not directly comparable
SciCode
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus51.3%
Source
Not directly comparable

Reasoning

CritPt
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus9.1%
Source
Not directly comparable
MRCRv2
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus91.7%
Source
Not directly comparable

Multimodal

BabyVision
Nemotron 3.5 Super VL 120B A12B NVFP429.5%
Source
Qwen3.7 Plus—
Not directly comparable
MMLongBench-Doc
Nemotron 3.5 Super VL 120B A12B NVFP462.8%
Source
Qwen3.7 Plus—
Not directly comparable
V*
Nemotron 3.5 Super VL 120B A12B NVFP486.0%
Source
Qwen3.7 Plus—
Not directly comparable
MathVision
Nemotron 3.5 Super VL 120B A12B NVFP477.8%
Source
Qwen3.7 Plus90.3%
Source
Qwen3.7 Plus leads this result
CharXiv
Nemotron 3.5 Super VL 120B A12B NVFP479.9%
Source
Qwen3.7 Plus85.9%
Source
Qwen3.7 Plus leads this result
MMMU-Pro
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus79%
Source
Not directly comparable
ERQA
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus69.8%
Source
Not directly comparable
MedXpertQA (MM)
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus71.0%
Source
Not directly comparable
ScreenSpot Pro
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus79.0%
Source
Not directly comparable
SimpleVQA
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus81.7%
Source
Not directly comparable
MMSearch-Plus
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus41.4%
Source
Not directly comparable
RealWorldQA
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus86.9%
Source
Not directly comparable
OmniDocBench 1.5
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus91.4%
Source
Not directly comparable
OCRBench V2
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus70.7%
Source
Not directly comparable
ODINW13
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus51.1%
Source
Not directly comparable
Video-MME (with subtitle)
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus88.0%
Source
Not directly comparable
VideoMMMU
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus85.4%
Source
Not directly comparable
MLVU (M-Avg)
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus87.4%
Source
Not directly comparable

Knowledge

GPQA-D
Nemotron 3.5 Super VL 120B A12B NVFP489.9%
Source
Qwen3.7 Plus90.3%
Source
Qwen3.7 Plus leads this result
HLE w/o tools
Nemotron 3.5 Super VL 120B A12B NVFP431.4%
Source
Qwen3.7 Plus—
Not directly comparable
HLE
Nemotron 3.5 Super VL 120B A12B NVFP429%
Source
Qwen3.7 Plus34.7%
Source
Qwen3.7 Plus leads this result
GPQA
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus90.3%
Source
Not directly comparable
MMLU-Pro
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus88.5%
Source
Not directly comparable
MMLU-Redux
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus94.5%
Source
Not directly comparable
SuperGPQA
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus71.4%
Source
Not directly comparable
MMMLU
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus89.0%
Source
Not directly comparable

Multilingual

MMLU-ProX
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus85.4%
Source
Not directly comparable
NOVA-63
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus58.8%
Source
Not directly comparable
INCLUDE
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus83.0%
Source
Not directly comparable
MAXIFE
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus88.8%
Source
Not directly comparable
PolyMath
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus84.0%
Source
Not directly comparable

Instruction following

IFBench
Nemotron 3.5 Super VL 120B A12B NVFP471.5%
Source
Qwen3.7 Plus79.1%
Source
Qwen3.7 Plus leads this result
IFEval
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus94.6%
Source
Not directly comparable

Math

Apex Shortlist
Nemotron 3.5 Super VL 120B A12B NVFP489.4%
Source
Qwen3.7 Plus—
Not directly comparable
HMMT Feb 2026
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus92.9%
Source
Not directly comparable
IMOAnswerBench
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus86.0%
Source
Not directly comparable
Apex
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus22.7%
Source
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Nemotron 3.5 Super VL 120B A12B NVFP4—
Qwen3.7 Plus34.386%
Source
Not directly comparable

62 public results · 9 shared

Related comparisons

Compare API pricing Read the methodology Open the model selector

Watch Nemotron 3.5 Super VL 120B A12B NVFP4 vs Qwen3.7 Plus

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Last updated October 15, 2026

Nemotron 3.5 Super VL 120B A12B NVFP4 vs Qwen3.7 Plus

Decision reading

Which one for your work

Coding work

Agentic work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Instruction following

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

Which is better for coding, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

Which is better for agentic tasks, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

Which costs less, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

Which has the larger context window, Nemotron 3.5 Super VL 120B A12B NVFP4 or Qwen3.7 Plus?

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

Related comparisons

Watch Nemotron 3.5 Super VL 120B A12B NVFP4 vs Qwen3.7 Plus