API cost decision in 10 seconds

NewNemotron 3 Nano Omni (free) vs Qwen3 VL 235B A22B Instruct

Pick Nemotron 3 Nano Omni (free) for lower cost; pick Qwen3 VL 235B A22B Instruct only if the larger context window matters more.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3 Nano Omni (free) for lower cost; pick Qwen3 VL 235B A22B Instruct only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $0.64 for Qwen3 VL 235B A22B Instruct, saving $0.64 (100% lower).

Cost-first pickNemotron 3 Nano Omni (free)

Context-first pickQwen3 VL 235B A22B Instruct

Sample savings$0.64100%

10x traffic gap$6.4

Qwen3 VL 235B A22B Instruct has more context, but Nemotron 3 Nano Omni (free) saves $0.64 on the standard workload. At 10x that traffic, the same price gap is about $6.4. 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 Nano Omni (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Nemotron 3 Nano Omni (free)	Qwen3 VL 235B A22B Instruct
Input-heavy / RAG	5M input + 500K output	Nemotron 3 Nano Omni (free)	$0	$1.44
Balanced workload	1M input + 1M output	Nemotron 3 Nano Omni (free)	$0	$1.08
Output-heavy chatbot	1M input + 5M output	Nemotron 3 Nano Omni (free)	$0	$4.6

Cheaper input Nemotron 3 Nano Omni (free) $0 vs $0.2 / 1M

Nemotron 3 Nano Omni (free) is free for input tokens while Qwen3 VL 235B A22B Instruct costs $0.2 per 1M tokens.

Cheaper output Nemotron 3 Nano Omni (free) $0 vs $0.88 / 1M

Nemotron 3 Nano Omni (free) is free for output tokens while Qwen3 VL 235B A22B Instruct costs $0.88 per 1M tokens.

Larger context Qwen3 VL 235B A22B Instruct 256K vs 262.14K

Qwen3 VL 235B A22B Instruct has 6.14K more context (1.02x larger).

Sample workload Nemotron 3 Nano Omni (free) $0 vs $0.64

Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $0.64.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Nemotron 3 Nano Omni (free) 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 Nano Omni (free) has the lower input price; Nemotron 3 Nano Omni (free) has the lower output price; Qwen3 VL 235B A22B Instruct offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Nano Omni (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron 3 Nano Omni (free) and $0.64 for Qwen3 VL 235B A22B Instruct.

Best Fit

Choose Nemotron 3 Nano Omni (free) when you care most about lower input-token price, and lower output-token price.

Choose Qwen3 VL 235B A22B Instruct when you care most about larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $0.64 for Qwen3 VL 235B A22B Instruct, saving $0.64 (100% lower).
Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $0.64.
Nemotron 3 Nano Omni (free) is free for input tokens while Qwen3 VL 235B A22B Instruct costs $0.2 per 1M tokens.
Nemotron 3 Nano Omni (free) is free for output tokens while Qwen3 VL 235B A22B Instruct costs $0.88 per 1M tokens.
Qwen3 VL 235B A22B Instruct has 6.14K more context (1.02x larger).

Head-to-Head Specs

Feature	NewNemotron 3 Nano Omni (free) (NVIDIA)	Qwen3 VL 235B A22B Instruct (Qwen)
Input Price prompt tokens per 1M	$0	$0.2
Completion Price per 1M tokens	$0	$0.88
Sample Workload Cost 1M input + 500K output	$0	$0.64
Context Window	256K	262.14K
Release Date	2026-04-28	2025-09-23
Popularity	#96	#103

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Nemotron 3 Nano Omni (free)	On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $0.64 for Qwen3 VL 235B A22B Instruct, saving $0.64 (100% lower).
High-volume input processing	Nemotron 3 Nano Omni (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nemotron 3 Nano Omni (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Qwen3 VL 235B A22B Instruct	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 VL 235B A22B Instruct when lower sample workload cost matters most: $0.
Qwen3 Coder 480B A35B (free) can replace Qwen3 VL 235B A22B Instruct when lower sample workload cost matters most: $0.
Qwen2.5 7B Instruct can replace Qwen3 VL 235B A22B Instruct when lower sample workload cost matters most: $0.09.
Qwen3.5-9B can replace Qwen3 VL 235B A22B Instruct when lower sample workload cost matters most: $0.11.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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NVIDIA catalog

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

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Qwen catalog

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Open Qwen models

Nemotron 3 Nano Omni (free)

NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and...

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...