API cost decision in 10 seconds
CoBuddy (free) vs 🔥Claude Opus 4.6
Pick CoBuddy (free) for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick CoBuddy (free) for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.
On the standard 1M input plus 500K output workload, CoBuddy (free) is estimated at $0 vs $17.5 for Claude Opus 4.6, saving $17.5 (100% lower).
Cost-first pickCoBuddy (free)
Context-first pickClaude Opus 4.6
Sample savings$17.5100%
10x traffic gap$175
Claude Opus 4.6 has more context, but CoBuddy (free) saves $17.5 on the standard workload. At 10x that traffic, the same price gap is about $175. 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) | Claude Opus 4.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | CoBuddy (free) | $0 | $37.5 |
| Balanced workload | 1M input + 1M output | CoBuddy (free) | $0 | $30 |
| Output-heavy chatbot | 1M input + 5M output | CoBuddy (free) | $0 | $130 |
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, and Claude Opus 4.6 offers the larger context window.
For a 1M input token plus 500K output token workload, the estimated API cost is $0 for CoBuddy (free) and $17.5 for Claude Opus 4.6.
Choose CoBuddy (free) when you care most about lower input-token price, and lower output-token price.
Choose Claude Opus 4.6 when you care most about larger context window.
| Feature | CoBuddy (free) (Baidu Qianfan) | 🔥Claude Opus 4.6 (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $0 | $5 |
| Completion Price per 1M tokens | $0 | $25 |
| Sample Workload Cost 1M input + 500K output | $0 | $17.5 |
| Context Window | 131.07K | 1M |
| Release Date | 2026-05-06 | 2026-02-04 |
| Popularity | #18 |
CoBuddy 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...
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
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 $17.5 for Claude Opus 4.6, saving $17.5 (100% lower). |
| High-volume input processing | CoBuddy (free) | Lower prompt-token price matters most when prompts or retrieved passages 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 | Claude Opus 4.6 | A larger context window leaves more room for retrieved passages and source files. |