Nova Micro 1.0 is $0.42 cheaper per 1M input tokens (92.3% lower; 13x difference).
API cost decision in 10 seconds
Qwen3 235B A22B vs Nova Micro 1.0
Pick Nova Micro 1.0 for lower cost; pick Qwen3 235B A22B only if the larger context window matters more.
Budget verdict
Pick Nova Micro 1.0 for lower cost; pick Qwen3 235B A22B only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nova Micro 1.0 is estimated at $0.11 vs $1.36 for Qwen3 235B A22B, saving $1.26 (92.3% lower).
Qwen3 235B A22B has more context, but Nova Micro 1.0 saves $1.26 on the standard workload. At 10x that traffic, the same price gap is about $12.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nova Micro 1.0 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3 235B A22B | Nova Micro 1.0 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nova Micro 1.0 | $3.19 | $0.25 |
| Balanced workload | 1M input + 1M output | Nova Micro 1.0 | $2.27 | $0.18 |
| Output-heavy chatbot | 1M input + 5M output | Nova Micro 1.0 | $9.55 | $0.74 |
Nova Micro 1.0 is $1.68 cheaper per 1M output tokens (92.3% lower; 13x difference).
Qwen3 235B A22B has 3.07K more context (1.02x larger).
Nova Micro 1.0 is $1.26 cheaper on the standard workload (92.3% 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
Nova Micro 1.0 has the lower input price; Nova Micro 1.0 has the lower output price; Qwen3 235B A22B offers the larger context window. For the 1M input plus 500K output sample, Nova Micro 1.0 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $1.36 for Qwen3 235B A22B and $0.11 for Nova Micro 1.0.
Choose Qwen3 235B A22B when you care most about larger context window.
Choose Nova Micro 1.0 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Nova Micro 1.0 is estimated at $0.11 vs $1.36 for Qwen3 235B A22B, saving $1.26 (92.3% lower).
- Nova Micro 1.0 is $1.26 cheaper on the standard workload (92.3% lower).
- Nova Micro 1.0 is $0.42 cheaper per 1M input tokens (92.3% lower; 13x difference).
- Nova Micro 1.0 is $1.68 cheaper per 1M output tokens (92.3% lower; 13x difference).
- Qwen3 235B A22B has 3.07K more context (1.02x larger).
| Feature | Qwen3 235B A22B (Qwen) | Nova Micro 1.0 (Amazon) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.455 | $0.035 |
| Completion Price per 1M tokens | $1.82 | $0.14 |
| Sample Workload Cost 1M input + 500K output | $1.36 | $0.11 |
| Context Window | 131.07K | 128K |
| Release Date | ||
| Popularity | #131 | #146 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nova Micro 1.0 | On the standard 1M input plus 500K output workload, Nova Micro 1.0 is estimated at $0.11 vs $1.36 for Qwen3 235B A22B, saving $1.26 (92.3% lower). |
| High-volume input processing | Nova Micro 1.0 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nova Micro 1.0 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3 235B A22B | 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 235B A22B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 235B A22B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 235B A22B when lower sample workload cost matters most: $0.11.
- 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 Pro offers 1.05M context with $0.87 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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 hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsAmazon catalog
Check other Amazon models with comparable pricing, context, or release timing.
Open Amazon modelsQwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and...
Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...