gpt-oss-safeguard-20b is $0.61 cheaper per 1M input tokens (89% lower; 9.07x difference).
API cost decision in 10 seconds
Qianfan-OCR-Fast vs gpt-oss-safeguard-20b
Pick gpt-oss-safeguard-20b when budget and context both matter.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick gpt-oss-safeguard-20b when budget and context both matter.
On the standard 1M input plus 500K output workload, gpt-oss-safeguard-20b is estimated at $0.22 vs $2.08 for Qianfan-OCR-Fast, saving $1.86 (89.2% lower).
Cost-first pickgpt-oss-safeguard-20b
Context-first pickgpt-oss-safeguard-20b
Sample savings$1.8689.2%
10x traffic gap$18.6
gpt-oss-safeguard-20b is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $18.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
gpt-oss-safeguard-20b stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Qianfan-OCR-Fast | gpt-oss-safeguard-20b |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-safeguard-20b | $4.81 | $0.53 |
| Balanced workload | 1M input + 1M output | gpt-oss-safeguard-20b | $3.49 | $0.38 |
| Output-heavy chatbot | 1M input + 5M output | gpt-oss-safeguard-20b | $14.73 | $1.57 |
gpt-oss-safeguard-20b is $2.51 cheaper per 1M output tokens (89.3% lower; 9.37x difference).
gpt-oss-safeguard-20b has 65.54K more context (2x larger).
gpt-oss-safeguard-20b is $1.86 cheaper on the standard workload (89.2% 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-safeguard-20b has the lower input price; gpt-oss-safeguard-20b has the lower output price; gpt-oss-safeguard-20b offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-safeguard-20b is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $2.08 for Qianfan-OCR-Fast and $0.22 for gpt-oss-safeguard-20b.
Choose Qianfan-OCR-Fast when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
Choose gpt-oss-safeguard-20b when you care most about lower input-token price, lower output-token price, and larger context window.
- On the standard 1M input plus 500K output workload, gpt-oss-safeguard-20b is estimated at $0.22 vs $2.08 for Qianfan-OCR-Fast, saving $1.86 (89.2% lower).
- gpt-oss-safeguard-20b is $1.86 cheaper on the standard workload (89.2% lower).
- gpt-oss-safeguard-20b is $0.61 cheaper per 1M input tokens (89% lower; 9.07x difference).
- gpt-oss-safeguard-20b is $2.51 cheaper per 1M output tokens (89.3% lower; 9.37x difference).
- gpt-oss-safeguard-20b has 65.54K more context (2x larger).
| Feature | Qianfan-OCR-Fast (Baidu) | gpt-oss-safeguard-20b (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.68 | $0.075 |
| Completion Price per 1M tokens | $2.81 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $2.08 | $0.22 |
| Context Window | 65.54K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | gpt-oss-safeguard-20b | On the standard 1M input plus 500K output workload, gpt-oss-safeguard-20b is estimated at $0.22 vs $2.08 for Qianfan-OCR-Fast, saving $1.86 (89.2% lower). |
| High-volume input processing | gpt-oss-safeguard-20b | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | gpt-oss-safeguard-20b | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | gpt-oss-safeguard-20b | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
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- No popular competitor is currently available.
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Open OpenAI modelsQianfan-OCR-Fast is a domain-specific multimodal large model purpose-built for OCR. By leveraging specialized OCR training data while preserving versatile multimodal intelligence, it provides a powerful performance upgrade over Qianfan-OCR.
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...