Nemotron 3 Nano Omni (free) is free for input tokens while Mistral Large 3 2512 costs $0.5 per 1M tokens.
API cost decision in 10 seconds
NewNemotron 3 Nano Omni (free) vs Mistral Large 3 2512
Pick Nemotron 3 Nano Omni (free) for lower cost; pick Mistral Large 3 2512 only if the larger context window matters more.
Pricing data updated:
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 Mistral Large 3 2512 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 $1.25 for Mistral Large 3 2512, saving $1.25 (100% lower).
Cost-first pickNemotron 3 Nano Omni (free)
Context-first pickMistral Large 3 2512
Sample savings$1.25100%
10x traffic gap$12.5
Mistral Large 3 2512 has more context, but Nemotron 3 Nano Omni (free) saves $1.25 on the standard workload. At 10x that traffic, the same price gap is about $12.5. 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) | Mistral Large 3 2512 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron 3 Nano Omni (free) | $0 | $3.25 |
| Balanced workload | 1M input + 1M output | Nemotron 3 Nano Omni (free) | $0 | $2 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron 3 Nano Omni (free) | $0 | $8 |
Nemotron 3 Nano Omni (free) is free for output tokens while Mistral Large 3 2512 costs $1.5 per 1M tokens.
Mistral Large 3 2512 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 $1.25.
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; Mistral Large 3 2512 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 $1.25 for Mistral Large 3 2512.
Choose Nemotron 3 Nano Omni (free) when you care most about lower input-token price, and lower output-token price.
Choose Mistral Large 3 2512 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 $1.25 for Mistral Large 3 2512, saving $1.25 (100% lower).
- Nemotron 3 Nano Omni (free) is free for the standard workload while the other model is estimated at $1.25.
- Nemotron 3 Nano Omni (free) is free for input tokens while Mistral Large 3 2512 costs $0.5 per 1M tokens.
- Nemotron 3 Nano Omni (free) is free for output tokens while Mistral Large 3 2512 costs $1.5 per 1M tokens.
- Mistral Large 3 2512 has 6.14K more context (1.02x larger).
| Feature | NewNemotron 3 Nano Omni (free) (NVIDIA) | Mistral Large 3 2512 (Mistral) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.5 |
| Completion Price per 1M tokens | $0 | $1.5 |
| Sample Workload Cost 1M input + 500K output | $0 | $1.25 |
| 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 $1.25 for Mistral Large 3 2512, saving $1.25 (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 | Mistral Large 3 2512 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Mistral Nemo can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.04.
- Mistral Small 3 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.09.
- Ministral 3 3B 2512 can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.15.
- Mistral Small 3.2 24B can replace Mistral Large 3 2512 when lower sample workload cost matters most: $0.17.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
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Open provider hubsNVIDIA catalog
Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.
Open NVIDIA modelsMistral catalog
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Open Mistral 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...
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.