Qwen3.5 397B A17B is $4.61 cheaper per 1M input tokens (92.2% lower; 12.8x difference).
API cost decision in 10 seconds
Qwen3.5 397B A17B vs Claude Opus 4.5
Pick Qwen3.5 397B A17B when budget and context both matter.
Budget verdict
Pick Qwen3.5 397B A17B when budget and context both matter.
On the standard 1M input plus 500K output workload, Qwen3.5 397B A17B is estimated at $1.56 vs $17.5 for Claude Opus 4.5, saving $15.94 (91.1% lower).
Qwen3.5 397B A17B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $159.4. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3.5 397B A17B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.5 397B A17B | Claude Opus 4.5 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5 397B A17B | $3.12 | $37.5 |
| Balanced workload | 1M input + 1M output | Qwen3.5 397B A17B | $2.73 | $30 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3.5 397B A17B | $12.09 | $130 |
Qwen3.5 397B A17B is $22.66 cheaper per 1M output tokens (90.6% lower; 10.7x difference).
Qwen3.5 397B A17B has 62.14K more context (1.31x larger).
Qwen3.5 397B A17B is $15.94 cheaper on the standard workload (91.1% lower).
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 397B A17B has the lower input price; Qwen3.5 397B A17B has the lower output price; Qwen3.5 397B A17B offers the larger context window. For the 1M input plus 500K output sample, Qwen3.5 397B A17B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.56 for Qwen3.5 397B A17B and $17.5 for Claude Opus 4.5.
Choose Qwen3.5 397B A17B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Claude Opus 4.5 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, Qwen3.5 397B A17B is estimated at $1.56 vs $17.5 for Claude Opus 4.5, saving $15.94 (91.1% lower).
- Qwen3.5 397B A17B is $15.94 cheaper on the standard workload (91.1% lower).
- Qwen3.5 397B A17B is $4.61 cheaper per 1M input tokens (92.2% lower; 12.8x difference).
- Qwen3.5 397B A17B is $22.66 cheaper per 1M output tokens (90.6% lower; 10.7x difference).
- Qwen3.5 397B A17B has 62.14K more context (1.31x larger).
| Feature | Qwen3.5 397B A17B (Qwen) | Claude Opus 4.5 (Anthropic) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.39 | $5 |
| Completion Price per 1M tokens | $2.34 | $25 |
| Sample Workload Cost 1M input + 500K output | $1.56 | $17.5 |
| Context Window | 262.14K | 200K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3.5 397B A17B | On the standard 1M input plus 500K output workload, Qwen3.5 397B A17B is estimated at $1.56 vs $17.5 for Claude Opus 4.5, saving $15.94 (91.1% lower). |
| High-volume input processing | Qwen3.5 397B A17B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3.5 397B A17B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.5 397B A17B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.5 397B A17B when lower sample workload cost matters most: $0.11.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- OpenAI GPT Latest offers 1.05M context with $20 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
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Open largest context modelsProvider catalogs
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Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsAnthropic catalog
Check other Anthropic models with comparable pricing, context, or release timing.
Open Anthropic modelsThe Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. It delivers...
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