Nemotron Nano 9B V2 (free) is free for input tokens while GLM 4.7 costs $0.4 per 1M tokens.
API cost decision in 10 seconds
GLM 4.7 vs Nemotron Nano 9B V2 (free)
Pick Nemotron Nano 9B V2 (free) for lower cost; pick GLM 4.7 only if the larger context window matters more.
Budget verdict
Pick Nemotron Nano 9B V2 (free) for lower cost; pick GLM 4.7 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $1.27 for GLM 4.7, saving $1.27 (100% lower).
GLM 4.7 has more context, but Nemotron Nano 9B V2 (free) saves $1.27 on the standard workload. At 10x that traffic, the same price gap is about $12.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron Nano 9B V2 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GLM 4.7 | Nemotron Nano 9B V2 (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron Nano 9B V2 (free) | $2.88 | $0 |
| Balanced workload | 1M input + 1M output | Nemotron Nano 9B V2 (free) | $2.15 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron Nano 9B V2 (free) | $9.15 | $0 |
Nemotron Nano 9B V2 (free) is free for output tokens while GLM 4.7 costs $1.75 per 1M tokens.
GLM 4.7 has 74.75K more context (1.58x larger).
Nemotron Nano 9B V2 (free) is free for the standard workload while the other model is estimated at $1.27.
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 9B V2 (free) has the lower input price; Nemotron Nano 9B V2 (free) has the lower output price; GLM 4.7 offers the larger context window. For the 1M input plus 500K output sample, Nemotron Nano 9B V2 (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.27 for GLM 4.7 and $0 for Nemotron Nano 9B V2 (free).
Choose GLM 4.7 when you care most about larger context window.
Choose Nemotron Nano 9B V2 (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $1.27 for GLM 4.7, saving $1.27 (100% lower).
- Nemotron Nano 9B V2 (free) is free for the standard workload while the other model is estimated at $1.27.
- Nemotron Nano 9B V2 (free) is free for input tokens while GLM 4.7 costs $0.4 per 1M tokens.
- Nemotron Nano 9B V2 (free) is free for output tokens while GLM 4.7 costs $1.75 per 1M tokens.
- GLM 4.7 has 74.75K more context (1.58x larger).
| Feature | GLM 4.7 (Z.ai) | Nemotron Nano 9B V2 (free) (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.4 | $0 |
| Completion Price per 1M tokens | $1.75 | $0 |
| Sample Workload Cost 1M input + 500K output | $1.27 | $0 |
| Context Window | 202.75K | 128K |
| Release Date | ||
| Popularity | #71 | #107 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron Nano 9B V2 (free) | On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $1.27 for GLM 4.7, saving $1.27 (100% lower). |
| High-volume input processing | Nemotron Nano 9B V2 (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron Nano 9B V2 (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GLM 4.7 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- GLM 4.5 Air (free) can replace GLM 4.7 when lower sample workload cost matters most: $0.
- GLM 4 32B can replace GLM 4.7 when lower sample workload cost matters most: $0.15.
- GLM 4.7 Flash can replace GLM 4.7 when lower sample workload cost matters most: $0.26.
- GLM 4.5 Air can replace GLM 4.7 when lower sample workload cost matters most: $0.55.
- 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 hubsZ.ai catalog
Review all tracked Z.ai models before deciding whether this matchup is the right shortlist.
Open Z.ai modelsNVIDIA catalog
Check other NVIDIA models with comparable pricing, context, or release timing.
Open NVIDIA modelsGLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...