API cost decision in 10 seconds
Qwen3.5-27B vs 🔥Claude Opus 4.6
Pick Qwen3.5-27B for lower cost; pick Claude Opus 4.6 only if the larger context window matters more.
Budget verdict
Pick Qwen3.5-27B 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, Qwen3.5-27B is estimated at $0.98 vs $17.5 for Claude Opus 4.6, saving $16.52 (94.4% lower).
Claude Opus 4.6 has more context, but Qwen3.5-27B saves $16.52 on the standard workload. At 10x that traffic, the same price gap is about $165.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.5-27B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.5-27B | Claude Opus 4.6 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5-27B | $1.76 | $37.5 |
| Balanced workload | 1M input + 1M output | Qwen3.5-27B | $1.76 | $30 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.5-27B | $8 | $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
Qwen3.5-27B has the lower input price, Qwen3.5-27B 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 $0.98 for Qwen3.5-27B and $17.5 for Claude Opus 4.6.
Choose Qwen3.5-27B 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 | Qwen3.5-27B (Qwen) | 🔥Claude Opus 4.6 (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $5 |
| Completion Price per 1M tokens | $1.56 | $25 |
| Sample Workload Cost 1M input + 500K output | $0.98 | $17.5 |
| Context Window | 262.14K | 1M |
| Release Date | 2026-02-25 | 2026-02-04 |
| Popularity | #18 |
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its overall capabilities are comparable to those of...
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 | Qwen3.5-27B | On the standard 1M input plus 500K output workload, Qwen3.5-27B is estimated at $0.98 vs $17.5 for Claude Opus 4.6, saving $16.52 (94.4% lower). |
| High-volume input processing | Qwen3.5-27B | Lower prompt-token price matters most when prompts or retrieved passages dominate the bill. |
| Long responses and chatbots | Qwen3.5-27B | 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. |