Calculate the cost of using openai.gpt-oss-safeguard-20b from AWS Bedrock for your AI applications
Pricing data last updated:
Mode: Chat
Max: 128,000 tokens
Max: 8,192 tokens
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openai.gpt-oss-safeguard-20b is a chat model from AWS Bedrock, one of 317 chat models they offer. It is priced at $0.07 per 1M input tokens and $0.20 per 1M output tokens, ranking 153 out of 2292 chat models by cost and cheaper than 93% of models in this category. It accepts up to 128K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 128,000 input tokens. The maximum output length is 8,192 tokens.
At $0.07 per 1M input tokens and $0.20 per 1M output tokens, openai.gpt-oss-safeguard-20b ranks 153 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 93% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs openai.gpt-oss-safeguard-20b |
|---|---|---|---|---|
| Phi-4-mini-instruct | Azure | $0.07 | $0.30 | +7% |
| Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | +14% |
| Phi-4-mini-reasoning | Azure | $0.07 | $0.30 | +7% |
Similar chat models from other providers
Yes. openai.gpt-oss-safeguard-20b costs $0.07 per 1M input tokens compared to Phi-4-mini-instruct's $0.07 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for function calling.
openai.gpt-oss-safeguard-20b input pricing is $0.07 per 1M tokens, which is 87% below the median of $0.55 for chat models. It ranks 153 out of 2292 chat models by input cost, making it cheaper than 93% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.50.
Among AWS Bedrock's 317 chat models, openai.gpt-oss-safeguard-20b ranks 13 by input cost.
The most comparable chat models to openai.gpt-oss-safeguard-20b are: Phi-4-mini-instruct from Azure ($0.07/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M input tokens); Phi-4-mini-reasoning from Azure ($0.07/1M input tokens); databricks-gpt-oss-120b from Databricks ($0.07/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
openai.gpt-oss-safeguard-20b is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.07 and generating 1M output tokens costs $0.20.
