API cost decision in 10 seconds

Nemotron 3 Super vs Qwen3 VL 235B A22B Instruct

Pick Nemotron 3 Super when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3 Super when budget and context both matter.

On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.64 for Qwen3 VL 235B A22B Instruct, saving $0.33 (50.8% lower).

Cost-first pickNemotron 3 Super
Context-first pickNemotron 3 Super
Sample savings$0.3350.8%
10x traffic gap$3.25

Nemotron 3 Super is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $3.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron 3 Super stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3 SuperQwen3 VL 235B A22B Instruct
Input-heavy / RAG5M input + 500K outputNemotron 3 Super$0.68$1.44
Balanced workload1M input + 1M outputNemotron 3 Super$0.54$1.08
Output-heavy chatbot1M input + 5M outputNemotron 3 Super$2.34$4.6
Cheaper input Nemotron 3 Super $0.09 vs $0.2 / 1M

Nemotron 3 Super is $0.11 cheaper per 1M input tokens (55% lower; 2.22x difference).

Cheaper output Nemotron 3 Super $0.45 vs $0.88 / 1M

Nemotron 3 Super is $0.43 cheaper per 1M output tokens (48.9% lower; 1.96x difference).

Larger context Nemotron 3 Super 1M vs 262.14K

Nemotron 3 Super has 737.86K more context (3.81x larger).

Sample workload Nemotron 3 Super $0.32 vs $0.64

Nemotron 3 Super is $0.33 cheaper on the standard workload (50.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3 Super Calculating… Estimated API cost
Qwen3 VL 235B A22B Instruct Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Nemotron 3 Super has the lower input price; Nemotron 3 Super has the lower output price; Nemotron 3 Super offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.32 for Nemotron 3 Super and $0.64 for Qwen3 VL 235B A22B Instruct.

Best Fit

Choose Nemotron 3 Super when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Qwen3 VL 235B A22B Instruct when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.64 for Qwen3 VL 235B A22B Instruct, saving $0.33 (50.8% lower).
  • Nemotron 3 Super is $0.33 cheaper on the standard workload (50.8% lower).
  • Nemotron 3 Super is $0.11 cheaper per 1M input tokens (55% lower; 2.22x difference).
  • Nemotron 3 Super is $0.43 cheaper per 1M output tokens (48.9% lower; 1.96x difference).
  • Nemotron 3 Super has 737.86K more context (3.81x larger).
Head-to-Head Specs
FeatureNemotron 3 Super
(NVIDIA)
Qwen3 VL 235B A22B Instruct
(Qwen)
Input Price
prompt tokens per 1M
$0.09$0.2
Completion Price
per 1M tokens
$0.45$0.88
Sample Workload Cost
1M input + 500K output
$0.32$0.64
Context Window1M262.14K
Release Date
Popularity#99#103

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3 SuperOn the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $0.64 for Qwen3 VL 235B A22B Instruct, saving $0.33 (50.8% lower).
High-volume input processingNemotron 3 SuperLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3 SuperLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNemotron 3 SuperA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

NVIDIA catalog

Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.

Open NVIDIA models

Qwen catalog

Check other Qwen models with comparable pricing, context, or release timing.

Open Qwen models
Nemotron 3 Super

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets general vision-language use (VQA, document parsing, chart/table...