Qwen3.5 397B A17B is $0.61 cheaper per 1M input tokens (61% lower; 2.56x difference).
API cost decision in 10 seconds
NewGrok Build 0.1 vs Qwen3.5 397B A17B
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 $2 for Grok Build 0.1, saving $0.44 (22% 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 $4.4. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors Qwen3.5 397B A17B, balanced workload favors Qwen3.5 397B A17B, and output-heavy chatbot favors Grok Build 0.1.
| Workload shape | Token mix | Better pick | Grok Build 0.1 | Qwen3.5 397B A17B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3.5 397B A17B | $6 | $3.12 |
| Balanced workload | 1M input + 1M output | Qwen3.5 397B A17B | $3 | $2.73 |
| Output-heavy chatbot | 1M input + 5M output | Grok Build 0.1 | $11 | $12.09 |
Grok Build 0.1 is $0.34 cheaper per 1M output tokens (14.5% lower; 1.17x difference).
Qwen3.5 397B A17B has 6.14K more context (1.02x larger).
Qwen3.5 397B A17B is $0.44 cheaper on the standard workload (22% 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; Grok Build 0.1 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 $2 for Grok Build 0.1 and $1.56 for Qwen3.5 397B A17B.
Choose Grok Build 0.1 when you care most about lower output-token price.
Choose Qwen3.5 397B A17B when you care most about lower input-token price, and larger context window.
- On the standard 1M input plus 500K output workload, Qwen3.5 397B A17B is estimated at $1.56 vs $2 for Grok Build 0.1, saving $0.44 (22% lower).
- Qwen3.5 397B A17B is $0.44 cheaper on the standard workload (22% lower).
- Qwen3.5 397B A17B is $0.61 cheaper per 1M input tokens (61% lower; 2.56x difference).
- Grok Build 0.1 is $0.34 cheaper per 1M output tokens (14.5% lower; 1.17x difference).
- Qwen3.5 397B A17B has 6.14K more context (1.02x larger).
| Feature | NewGrok Build 0.1 (xAI) | Qwen3.5 397B A17B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $1 | $0.39 |
| Completion Price per 1M tokens | $2 | $2.34 |
| Sample Workload Cost 1M input + 500K output | $2 | $1.56 |
| Context Window | 256K | 262.14K |
| 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 $2 for Grok Build 0.1, saving $0.44 (22% 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 | Grok Build 0.1 | 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 offers 2M context with $2.5 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- Gemini 3.1 Flash Lite offers 1.05M context with $1 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 hubsxAI catalog
Review all tracked xAI models before deciding whether this matchup is the right shortlist.
Open xAI modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsGrok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...
The 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...