CoBuddy (free) is free for input tokens while Solar Pro 3 costs $0.15 per 1M tokens.
API cost decision in 10 seconds
NewCoBuddy (free) vs Solar Pro 3
Pick CoBuddy (free) when budget and context both matter.
Budget verdict
Pick CoBuddy (free) when budget and context both matter.
On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $0.45 for Solar Pro 3, saving $0.45 (100% lower).
CoBuddy (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.5. 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) | Solar Pro 3 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | CoBuddy (free) | $0 | $1.05 |
| Balanced workload | 1M input + 1M output | CoBuddy (free) | $0 | $0.75 |
| Output-heavy chatbot | 1M input + 5M output | CoBuddy (free) | $0 | $3.15 |
CoBuddy (free) is free for output tokens while Solar Pro 3 costs $0.6 per 1M tokens.
CoBuddy (free) has 3.07K more context (1.02x larger).
CoBuddy (free) is free for the standard workload while the other model is estimated at $0.45.
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; CoBuddy (free) 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 $0.45 for Solar Pro 3.
Choose CoBuddy (free) when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Solar Pro 3 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, CoBuddy (free) is estimated at $0 vs $0.45 for Solar Pro 3, saving $0.45 (100% lower).
- CoBuddy (free) is free for the standard workload while the other model is estimated at $0.45.
- CoBuddy (free) is free for input tokens while Solar Pro 3 costs $0.15 per 1M tokens.
- CoBuddy (free) is free for output tokens while Solar Pro 3 costs $0.6 per 1M tokens.
- CoBuddy (free) has 3.07K more context (1.02x larger).
| Feature | NewCoBuddy (free) (Baidu Qianfan) | Solar Pro 3 (Upstage) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $0.15 |
| Completion Price per 1M tokens | $0 | $0.6 |
| Sample Workload Cost 1M input + 500K output | $0 | $0.45 |
| Context Window | 131.07K | 128K |
| 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 $0.45 for Solar Pro 3, saving $0.45 (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 | CoBuddy (free) | 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 Flash (free) offers 1.05M context with $0 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
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 modelsUpstage catalog
Check other Upstage models with comparable pricing, context, or release timing.
Open Upstage modelsCoBuddy is a code generation model from Baidu, optimized for coding tasks and AI Agent workflows. It features high inference throughput and low end-to-end latency, with native support for tool...
Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized...