API cost decision in 10 seconds

🔥Gemini 3 Flash Preview vs NewNemotron 3 Nano Omni (free)

Pick Nemotron 3 Nano Omni (free) for lower cost; pick Gemini 3 Flash Preview only if the larger context window matters more.

Page updated: 2026-05-26T12:03:47Z Data confirmed: 2026-05-26T14:08:03Z 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 Gemini 3 Flash Preview 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 $2 for Gemini 3 Flash Preview, saving $2 (100% lower).

Cost-first pickNemotron 3 Nano Omni (free)

Context-first pickGemini 3 Flash Preview

Sample savings$2100%

10x traffic gap$20

Gemini 3 Flash Preview has more context, but Nemotron 3 Nano Omni (free) saves $2 on the standard workload. At 10x that traffic, the same price gap is about $20. 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	Gemini 3 Flash Preview	Nemotron 3 Nano Omni (free)
Input-heavy / RAG	5M input + 500K output	Nemotron 3 Nano Omni (free)	$4	$0
Balanced workload	1M input + 1M output	Nemotron 3 Nano Omni (free)	$3.5	$0
Output-heavy chatbot	1M input + 5M output	Nemotron 3 Nano Omni (free)	$15.5	$0

Cheaper input Nemotron 3 Nano Omni (free) $0.5 vs $0 / 1M

Nemotron 3 Nano Omni (free) is free for input tokens while Gemini 3 Flash Preview costs $0.5 per 1M tokens.

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

Nemotron 3 Nano Omni (free) is free for output tokens while Gemini 3 Flash Preview costs $3 per 1M tokens.

Larger context Gemini 3 Flash Preview 1.05M vs 256K

Gemini 3 Flash Preview has 792.58K more context (4.1x larger).

Sample workload Nemotron 3 Nano Omni (free) $2 vs $0

Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $2.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemini 3 Flash Preview Calculating… Estimated API cost

Nemotron 3 Nano Omni (free) 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; Gemini 3 Flash Preview 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 $2 for Gemini 3 Flash Preview and $0 for Nemotron 3 Nano Omni (free).

Best Fit

Choose Gemini 3 Flash Preview when you care most about larger context window.

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

Decision Notes

On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $2 for Gemini 3 Flash Preview, saving $2 (100% lower).
Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $2.
Nemotron 3 Nano Omni (free) is free for input tokens while Gemini 3 Flash Preview costs $0.5 per 1M tokens.
Nemotron 3 Nano Omni (free) is free for output tokens while Gemini 3 Flash Preview costs $3 per 1M tokens.
Gemini 3 Flash Preview has 792.58K more context (4.1x larger).

Head-to-Head Specs

Feature	🔥Gemini 3 Flash Preview (Google)	NewNemotron 3 Nano Omni (free) (NVIDIA)
Input Price prompt tokens per 1M	$0.5	$0
Completion Price per 1M tokens	$3	$0
Sample Workload Cost 1M input + 500K output	$2	$0
Context Window	1.05M	256K
Release Date	2025-12-17	2026-04-28
Popularity	#7

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 $2 for Gemini 3 Flash Preview, saving $2 (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	Gemini 3 Flash Preview	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Gemma 4 26B A4B (free) can replace Gemini 3 Flash Preview when lower sample workload cost matters most: $0.
Gemma 4 31B (free) can replace Gemini 3 Flash Preview when lower sample workload cost matters most: $0.
Lyria 3 Pro Preview can replace Gemini 3 Flash Preview when lower sample workload cost matters most: $0.
Lyria 3 Clip Preview can replace Gemini 3 Flash Preview when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Owl Alpha offers 1.05M context with $0 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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Google catalog

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NVIDIA catalog

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Gemini 3 Flash Preview

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...

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...