Qwen3 30B A3B Instruct 2507 is $0.11 cheaper per 1M input tokens (55% lower; 2.22x difference).
API cost decision in 10 seconds
GPT-5.4 Nano vs Qwen3 30B A3B Instruct 2507
Pick Qwen3 30B A3B Instruct 2507 for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Qwen3 30B A3B Instruct 2507 for lower cost; pick GPT-5.4 Nano only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 30B A3B Instruct 2507 is estimated at $0.24 vs $0.82 for GPT-5.4 Nano, saving $0.58 (70.9% lower).
Cost-first pickQwen3 30B A3B Instruct 2507
Context-first pickGPT-5.4 Nano
Sample savings$0.5870.9%
10x traffic gap$5.85
GPT-5.4 Nano has more context, but Qwen3 30B A3B Instruct 2507 saves $0.58 on the standard workload. At 10x that traffic, the same price gap is about $5.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 30B A3B Instruct 2507 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.4 Nano | Qwen3 30B A3B Instruct 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 30B A3B Instruct 2507 | $1.62 | $0.6 |
| Balanced workload | 1M input + 1M output | Qwen3 30B A3B Instruct 2507 | $1.45 | $0.39 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 30B A3B Instruct 2507 | $6.45 | $1.59 |
Qwen3 30B A3B Instruct 2507 is $0.95 cheaper per 1M output tokens (76% lower; 4.17x difference).
GPT-5.4 Nano has 137.86K more context (1.53x larger).
Qwen3 30B A3B Instruct 2507 is $0.58 cheaper on the standard workload (70.9% 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 30B A3B Instruct 2507 has the lower input price; Qwen3 30B A3B Instruct 2507 has the lower output price; GPT-5.4 Nano offers the larger context window. For the 1M input plus 500K output sample, Qwen3 30B A3B Instruct 2507 is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.82 for GPT-5.4 Nano and $0.24 for Qwen3 30B A3B Instruct 2507.
Choose GPT-5.4 Nano when you care most about larger context window.
Choose Qwen3 30B A3B Instruct 2507 when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 30B A3B Instruct 2507 is estimated at $0.24 vs $0.82 for GPT-5.4 Nano, saving $0.58 (70.9% lower).
- Qwen3 30B A3B Instruct 2507 is $0.58 cheaper on the standard workload (70.9% lower).
- Qwen3 30B A3B Instruct 2507 is $0.11 cheaper per 1M input tokens (55% lower; 2.22x difference).
- Qwen3 30B A3B Instruct 2507 is $0.95 cheaper per 1M output tokens (76% lower; 4.17x difference).
- GPT-5.4 Nano has 137.86K more context (1.53x larger).
| Feature | GPT-5.4 Nano (OpenAI) | Qwen3 30B A3B Instruct 2507 (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.2 | $0.09 |
| Completion Price per 1M tokens | $1.25 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $0.82 | $0.24 |
| Context Window | 400K | 262.14K |
| Release Date | ||
| Popularity | #32 | #110 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 30B A3B Instruct 2507 | On the standard 1M input plus 500K output workload, Qwen3 30B A3B Instruct 2507 is estimated at $0.24 vs $0.82 for GPT-5.4 Nano, saving $0.58 (70.9% lower). |
| High-volume input processing | Qwen3 30B A3B Instruct 2507 | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 30B A3B Instruct 2507 | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5.4 Nano | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.
- 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
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