CoBuddy (free) is free for input tokens while KAT-Coder-Pro V2 costs $0.3 per 1M tokens.
API cost decision in 10 seconds
NewCoBuddy (free) vs KAT-Coder-Pro V2
Pick CoBuddy (free) for lower cost; pick KAT-Coder-Pro V2 only if the larger context window matters more.
Budget verdict
Pick CoBuddy (free) for lower cost; pick KAT-Coder-Pro V2 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.9 for KAT-Coder-Pro V2, saving $0.9 (100% lower).
KAT-Coder-Pro V2 has more context, but CoBuddy (free) saves $0.9 on the standard workload. At 10x that traffic, the same price gap is about $9. 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) | KAT-Coder-Pro V2 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | CoBuddy (free) | $0 | $2.1 |
| Balanced workload | 1M input + 1M output | CoBuddy (free) | $0 | $1.5 |
| Output-heavy chatbot | 1M input + 5M output | CoBuddy (free) | $0 | $6.3 |
CoBuddy (free) is free for output tokens while KAT-Coder-Pro V2 costs $1.2 per 1M tokens.
KAT-Coder-Pro V2 has 124.93K more context (1.95x larger).
CoBuddy (free) is free for the standard workload while the other model is estimated at $0.9.
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; KAT-Coder-Pro V2 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 $0.9 for KAT-Coder-Pro V2.
Choose CoBuddy (free) when you care most about lower input-token price, and lower output-token price.
Choose KAT-Coder-Pro V2 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.9 for KAT-Coder-Pro V2, saving $0.9 (100% lower).
- CoBuddy (free) is free for the standard workload while the other model is estimated at $0.9.
- CoBuddy (free) is free for input tokens while KAT-Coder-Pro V2 costs $0.3 per 1M tokens.
- CoBuddy (free) is free for output tokens while KAT-Coder-Pro V2 costs $1.2 per 1M tokens.
- KAT-Coder-Pro V2 has 124.93K more context (1.95x larger).
| Feature | NewCoBuddy (free) (Baidu Qianfan) | KAT-Coder-Pro V2 (Kwaipilot) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.3 |
| Completion Price per 1M tokens | $0 | $1.2 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.9 |
| Context Window | 131.07K | 256K |
| 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 $0.9 for KAT-Coder-Pro V2, saving $0.9 (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 | KAT-Coder-Pro V2 | 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 hubsBaidu Qianfan catalog
Review all tracked Baidu Qianfan models before deciding whether this matchup is the right shortlist.
Open Baidu Qianfan modelsKwaipilot catalog
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