gpt-oss-20b is $0.04 cheaper per 1M input tokens (53.8% lower; 2.17x difference).
API cost decision in 10 seconds
Qwen3.5-Flash vs gpt-oss-20b
Pick gpt-oss-20b for lower cost; pick Qwen3.5-Flash 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 gpt-oss-20b for lower cost; pick Qwen3.5-Flash only if the larger context window matters more.
On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.2 for Qwen3.5-Flash, saving $0.1 (48.7% lower).
Cost-first pickgpt-oss-20b
Context-first pickQwen3.5-Flash
Sample savings$0.148.7%
10x traffic gap$0.95
Qwen3.5-Flash has more context, but gpt-oss-20b saves $0.1 on the standard workload. At 10x that traffic, the same price gap is about $0.95. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
gpt-oss-20b stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qwen3.5-Flash | gpt-oss-20b |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-20b | $0.46 | $0.22 |
| Balanced workload | 1M input + 1M output | gpt-oss-20b | $0.33 | $0.17 |
| Output-heavy chatbot | 1M input + 5M output | gpt-oss-20b | $1.36 | $0.73 |
gpt-oss-20b is $0.12 cheaper per 1M output tokens (46.2% lower; 1.86x difference).
Qwen3.5-Flash has 868.93K more context (7.63x larger).
gpt-oss-20b is $0.1 cheaper on the standard workload (48.7% 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
gpt-oss-20b has the lower input price; gpt-oss-20b has the lower output price; Qwen3.5-Flash offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-20b is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.2 for Qwen3.5-Flash and $0.1 for gpt-oss-20b.
Choose Qwen3.5-Flash when you care most about larger context window.
Choose gpt-oss-20b when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.2 for Qwen3.5-Flash, saving $0.1 (48.7% lower).
- gpt-oss-20b is $0.1 cheaper on the standard workload (48.7% lower).
- gpt-oss-20b is $0.04 cheaper per 1M input tokens (53.8% lower; 2.17x difference).
- gpt-oss-20b is $0.12 cheaper per 1M output tokens (46.2% lower; 1.86x difference).
- Qwen3.5-Flash has 868.93K more context (7.63x larger).
| Feature | Qwen3.5-Flash (Qwen) | gpt-oss-20b (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.065 | $0.03 |
| Completion Price per 1M tokens | $0.26 | $0.14 |
| Sample Workload Cost 1M input + 500K output | $0.2 | $0.1 |
| Context Window | 1M | 131.07K |
| Release Date | ||
| Popularity | #25 | #67 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | gpt-oss-20b | On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.2 for Qwen3.5-Flash, saving $0.1 (48.7% lower). |
| High-volume input processing | gpt-oss-20b | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | gpt-oss-20b | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Qwen3.5-Flash | 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-Flash when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3.5-Flash when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3.5-Flash when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3.5-Flash 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 Flash (free) offers 1.05M context with $0 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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