Nemotron Nano 12B 2 VL (free) is free for input tokens while Cogito v2.1 671B costs $1.25 per 1M tokens.
API cost decision in 10 seconds
Nemotron Nano 12B 2 VL (free) vs Cogito v2.1 671B
Pick Nemotron Nano 12B 2 VL (free) when budget is the priority.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron Nano 12B 2 VL (free) when budget is the priority.
On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $1.88 for Cogito v2.1 671B, saving $1.88 (100% lower).
Cost-first pickNemotron Nano 12B 2 VL (free)
Context-first pickBoth models
Sample savings$1.88100%
10x traffic gap$18.75
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $18.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron Nano 12B 2 VL (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron Nano 12B 2 VL (free) | Cogito v2.1 671B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron Nano 12B 2 VL (free) | $0 | $6.88 |
| Balanced workload | 1M input + 1M output | Nemotron Nano 12B 2 VL (free) | $0 | $2.5 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron Nano 12B 2 VL (free) | $0 | $7.5 |
Nemotron Nano 12B 2 VL (free) is free for output tokens while Cogito v2.1 671B costs $1.25 per 1M tokens.
Both models report the same context window at 128K tokens.
Nemotron Nano 12B 2 VL (free) is free for the standard workload while the other model is estimated at $1.88.
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 Nano 12B 2 VL (free) has the lower input price; Nemotron Nano 12B 2 VL (free) has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Nemotron Nano 12B 2 VL (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 Nano 12B 2 VL (free) and $1.88 for Cogito v2.1 671B.
Choose Nemotron Nano 12B 2 VL (free) when you care most about lower input-token price, and lower output-token price.
Choose Cogito v2.1 671B when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $1.88 for Cogito v2.1 671B, saving $1.88 (100% lower).
- Nemotron Nano 12B 2 VL (free) is free for the standard workload while the other model is estimated at $1.88.
- Nemotron Nano 12B 2 VL (free) is free for input tokens while Cogito v2.1 671B costs $1.25 per 1M tokens.
- Nemotron Nano 12B 2 VL (free) is free for output tokens while Cogito v2.1 671B costs $1.25 per 1M tokens.
- Both models report the same context window at 128K tokens.
| Feature | Nemotron Nano 12B 2 VL (free) (NVIDIA) | Cogito v2.1 671B (Deep Cogito) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $1.25 |
| Completion Price per 1M tokens | $0 | $1.25 |
| Sample Workload Cost 1M input + 500K output | $0 | $1.88 |
| Context Window | 128K | 128K |
| Release Date | ||
| Popularity | #128 | #264 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron Nano 12B 2 VL (free) | On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $1.88 for Cogito v2.1 671B, saving $1.88 (100% lower). |
| High-volume input processing | Nemotron Nano 12B 2 VL (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron Nano 12B 2 VL (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Tie | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- No lower-cost same-provider swap is currently tracked for this pair.
- 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.
- DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsNVIDIA catalog
Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.
Open NVIDIA modelsDeep Cogito catalog
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