CoBuddy (free) is free for input tokens while GPT-5.4 Nano costs $0.2 per 1M tokens.
API cost decision in 10 seconds
NewCoBuddy (free) vs GPT-5.4 Nano
Pick CoBuddy (free) for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.
Budget verdict
Pick CoBuddy (free) for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.
On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.82 for GPT-5.4 Nano, saving $0.82 (100% lower).
GPT-5.4 Nano has more context, but CoBuddy (free) saves $0.82 on the standard workload. At 10x that traffic, the same price gap is about $8.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
CoBuddy (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | CoBuddy (free) | GPT-5.4 Nano |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | CoBuddy (free) | $0 | $1.62 |
| Balanced workload | 1M input + 1M output | CoBuddy (free) | $0 | $1.45 |
| Output-heavy chatbot | 1M input + 5M output | CoBuddy (free) | $0 | $6.45 |
CoBuddy (free) is free for output tokens while GPT-5.4 Nano costs $1.25 per 1M tokens.
GPT-5.4 Nano has 268.93K more context (3.05x larger).
CoBuddy (free) is free for the standard workload while the other model is estimated at $0.82.
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
CoBuddy (free) has the lower input price; CoBuddy (free) has the lower output price; GPT-5.4 Nano offers the larger context window. For the 1M input plus 500K output sample, CoBuddy (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for CoBuddy (free) and $0.82 for GPT-5.4 Nano.
Choose CoBuddy (free) when you care most about lower input-token price, and lower output-token price.
Choose GPT-5.4 Nano when you care most about larger context window.
- On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.82 for GPT-5.4 Nano, saving $0.82 (100% lower).
- CoBuddy (free) is free for the standard workload while the other model is estimated at $0.82.
- CoBuddy (free) is free for input tokens while GPT-5.4 Nano costs $0.2 per 1M tokens.
- CoBuddy (free) is free for output tokens while GPT-5.4 Nano costs $1.25 per 1M tokens.
- GPT-5.4 Nano has 268.93K more context (3.05x larger).
| Feature | NewCoBuddy (free) (Baidu Qianfan) | GPT-5.4 Nano (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.2 |
| Completion Price per 1M tokens | $0 | $1.25 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.82 |
| Context Window | 131.07K | 400K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | CoBuddy (free) | On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.82 for GPT-5.4 Nano, saving $0.82 (100% lower). |
| High-volume input processing | CoBuddy (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | CoBuddy (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.4 Nano | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.
- 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
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Open provider hubsBaidu Qianfan catalog
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