Nemotron 3 Nano Omni (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.
API cost decision in 10 seconds
NewNemotron 3 Nano Omni (free) vs Gemma 4 31B
Pick Nemotron 3 Nano Omni (free) for lower cost; pick Gemma 4 31B only if the larger context window matters more.
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Data confirmed:
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 Gemma 4 31B 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 $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
Cost-first pickNemotron 3 Nano Omni (free)
Context-first pickGemma 4 31B
Sample savings$0.3100%
10x traffic gap$3.05
Gemma 4 31B has more context, but Nemotron 3 Nano Omni (free) saves $0.3 on the standard workload. At 10x that traffic, the same price gap is about $3.05. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
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) | Gemma 4 31B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Nano Omni (free) | $0 | $0.78 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Nano Omni (free) | $0 | $0.49 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Nano Omni (free) | $0 | $1.97 |
Nemotron 3 Nano Omni (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.
Gemma 4 31B has 6.14K more context (1.02x larger).
Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $0.3.
Estimate your workload cost
Your Workload Cost
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
Nemotron 3 Nano Omni (free) has the lower input price; Nemotron 3 Nano Omni (free) has the lower output price; Gemma 4 31B 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 $0.3 for Gemma 4 31B.
Choose Nemotron 3 Nano Omni (free) when you care most about lower input-token price, and lower output-token price.
Choose Gemma 4 31B when you care most about larger context window.
- On the standard 1M input plus 500K output workload, Nemotron 3 Nano Omni (free) is estimated at $0 vs $0.3 for Gemma 4 31B, saving $0.3 (100% lower).
- Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $0.3.
- Nemotron 3 Nano Omni (free) is free for input tokens while Gemma 4 31B costs $0.12 per 1M tokens.
- Nemotron 3 Nano Omni (free) is free for output tokens while Gemma 4 31B costs $0.37 per 1M tokens.
- Gemma 4 31B has 6.14K more context (1.02x larger).
| Feature | NewNemotron 3 Nano Omni (free) (NVIDIA) | Gemma 4 31B (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.12 |
| Completion Price per 1M tokens | $0 | $0.37 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.3 |
| Context Window | 256K | 262.14K |
| Release Date |
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 $0.3 for Gemma 4 31B, saving $0.3 (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 | Gemma 4 31B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Gemma 4 26B A4B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Lyria 3 Pro Preview can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- Lyria 3 Clip Preview can replace Gemma 4 31B when lower sample workload cost matters most: $0.
- 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.
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- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
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Open Google modelsNVIDIA 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...
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...