gpt-oss-20b is $0.12 cheaper per 1M input tokens (79.9% lower; 4.98x difference).
API cost decision in 10 seconds
gpt-oss-20b vs Qwen3 235B A22B Thinking 2507
Pick gpt-oss-20b for lower cost; pick Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507 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 $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.8 (88.9% lower).
Cost-first pickgpt-oss-20b
Context-first pickQwen3 235B A22B Thinking 2507
Sample savings$0.888.9%
10x traffic gap$7.97
Qwen3 235B A22B Thinking 2507 has more context, but gpt-oss-20b saves $0.8 on the standard workload. At 10x that traffic, the same price gap is about $7.97. 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 | gpt-oss-20b | Qwen3 235B A22B Thinking 2507 |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-20b | $0.22 | $1.5 |
| Balanced workload | 1M input + 1M output | gpt-oss-20b | $0.17 | $1.64 |
| Output-heavy chatbot | 1M input + 5M output | gpt-oss-20b | $0.73 | $7.62 |
gpt-oss-20b is $1.35 cheaper per 1M output tokens (90.6% lower; 10.7x difference).
Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).
gpt-oss-20b is $0.8 cheaper on the standard workload (88.9% 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
gpt-oss-20b has the lower input price; gpt-oss-20b has the lower output price; Qwen3 235B A22B Thinking 2507 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 $0.1 for gpt-oss-20b and $0.9 for Qwen3 235B A22B Thinking 2507.
Choose gpt-oss-20b when you care most about lower input-token price, and lower output-token price.
Choose Qwen3 235B A22B Thinking 2507 when you care most about larger context window.
- On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.8 (88.9% lower).
- gpt-oss-20b is $0.8 cheaper on the standard workload (88.9% lower).
- gpt-oss-20b is $0.12 cheaper per 1M input tokens (79.9% lower; 4.98x difference).
- gpt-oss-20b is $1.35 cheaper per 1M output tokens (90.6% lower; 10.7x difference).
- Qwen3 235B A22B Thinking 2507 has 131.07K more context (2x larger).
| Feature | gpt-oss-20b (OpenAI) | Qwen3 235B A22B Thinking 2507 (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.03 | $0.1495 |
| Completion Price per 1M tokens | $0.14 | $1.495 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $0.9 |
| Context Window | 131.07K | 262.14K |
| Release Date | ||
| Popularity | #67 | #133 |
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 $0.9 for Qwen3 235B A22B Thinking 2507, saving $0.8 (88.9% 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 235B A22B Thinking 2507 | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace gpt-oss-20b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-20b when lower sample workload cost matters most: $0.
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 235B A22B Thinking 2507 when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
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- 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
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Open Qwen modelsgpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...