SSyncDev

AI model comparison

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 vs Qwen/Qwen3-8B

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 vs Qwen/Qwen3-8B comparison is designed for teams choosing between two production model records, not for declaring a universal winner. nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 by nvidia currently records 262.1K context, 65.5K maximum output, $0.30 input per 1M tokens, $1.00 output per 1M tokens. Qwen/Qwen3-8B by Qwen records 131.1K context, 8.2K maximum output, $0.18 input per 1M tokens, $0.70 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

nvidia

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4

Hugging Face repository for Text generation.

Context
262.1K
Max output
65.5K
Input / 1M
$0.30
Output / 1M
$1.00
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗
VS

Qwen

Qwen/Qwen3-8B

Qwen/Qwen3-8B is a source-linked Hugging Face repository assigned to Text generation. Its recorded task interface accepts text and produces text.

Context
131.1K
Max output
8.2K
Input / 1M
$0.18
Output / 1M
$0.70
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 leads in recorded data

  • Context capacity: 262.1K
  • Maximum output: 65.5K

Where Qwen/Qwen3-8B leads in recorded data

  • Input price: $0.18
  • Output price: $0.70

Context capacity

Higher listed limit

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4:262.1K

Qwen/Qwen3-8B:131.1K

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4

Maximum output

Higher listed limit

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4:65.5K

Qwen/Qwen3-8B:8.2K

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4

Input price

Lower recorded price

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4:$0.30

Qwen/Qwen3-8B:$0.18

Qwen/Qwen3-8B

Output price

Lower recorded price

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4:$1.00

Qwen/Qwen3-8B:$0.70

Qwen/Qwen3-8B

Output speed

Higher recorded throughput

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4:—

Qwen/Qwen3-8B:—

No complete comparison

Time to first token

Lower recorded latency

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4:—

Qwen/Qwen3-8B:—

No complete comparison

Intelligence Index

Higher directory index

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4:—

Qwen/Qwen3-8B:—

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

Specificationnvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4Qwen/Qwen3-8B
ProvidernvidiaQwen
Model family——
Accepted inputstexttext
Produced outputstexttext
Context window262.1KRecorded lead131.1K
Max output65.5KRecorded lead8.2K
Intelligence Index——
Input price / 1M$0.30$0.18Recorded lead
Output price / 1M$1.00$0.70Recorded lead
Output speed——
Time to first token——
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedNot documented
LicenseNot documentedNot documented
ReleasedMar 11, 2026Apr 1, 2025

Workload guidance

Which model should you choose?

nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-NVFP4 currently leads on larger context, larger maximum output. Qwen/Qwen3-8B currently leads on lower recorded input price, lower recorded output price. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

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