gpt-oss-120b

OpenAI · Active · available in 13 of 31 regions

Batch inferenceStreaming Tool useVisionPrompt cachingEmbeddingsFine-tuning
Context window
Max output
Input / 1M
$0.150
us-east-1
Output / 1M
$0.600

What gpt-oss-120b is good for

editorial

gpt-oss-120b at $0.150 per 1M input tokens. Callable in 13 of 31 regions.

Suits

  • Bulk jobs. Batch inference is available, typically at half the on-demand rate, for work that can wait — backfills, nightly enrichment, evaluation runs.

Think twice if

  • Agentic loops. No prompt caching published, so every step re-pays full price for the prompt prefix. Expensive for agents that resend a long context.
  • Function calling. No tool use, so it cannot drive an agent loop or call your APIs — it answers from what is in the prompt.
  • Documents with layout. Text only. Scanned PDFs, screenshots and charts need a vision model or an OCR step first.

This section is judgement, not data from AWS. It is composed from the capabilities, context window, price position and region coverage shown elsewhere on this page — so it stays in step with the daily snapshot rather than going stale.

Where teams typically use it

Chat and assistants

Conversational work where responsiveness matters as much as depth.

  • · A customer-facing assistant where the first token needs to appear in under a second.
  • · An in-product copilot that explains what the user is looking at and answers follow-ups.
  • · A triage bot that qualifies an incoming request before routing it to the right team.

Coding

Writing, reviewing and refactoring code, usually across more than one file.

  • · A review pass that flags real defects with a severity and leaves style alone.
  • · A framework upgrade applied across a repository, one module at a time, tests green between each.
  • · Turning a failing bug report into a reproducing test and then a fix.

Model & inference profile IDs

Base model ID — direct on-demand invoke

Pricing by region

USD per 1M tokens
Region Input Output Cache read Cache write Batch in Batch out Source
us-east-1 US East (N. Virginia) $0.150 $0.600 $0.075 $0.300 API
us-east-2 US East (Ohio) $0.150 $0.600 $0.075 $0.300 API
us-west-2 US West (Oregon) $0.150 $0.600 $0.075 $0.300 API
eu-west-1 EU (Ireland) $0.180 $0.700 $0.090 $0.350 API
eu-west-2 EU (London) $0.230 $0.930 $0.120 $0.470 API
eu-central-1 EU (Frankfurt) $0.200 $0.790 $0.100 $0.400 API
eu-north-1 EU (Stockholm) $0.150 $0.600 $0.075 $0.300 API
eu-south-1 EU (Milan) $0.200 $0.790 $0.100 $0.400 API
ap-northeast-1 Asia Pacific (Tokyo) $0.180 $0.730 $0.090 $0.360 API
ap-south-1 Asia Pacific (Mumbai) $0.180 $0.710 $0.090 $0.350 API
ap-southeast-2 Asia Pacific (Sydney) $0.154 $0.618 $0.077 $0.309 API
ap-southeast-3 Asia Pacific (Jakarta) $0.160 $0.620 $0.080 $0.310 API
sa-east-1 South America (Sao Paulo) $0.180 $0.730 $0.090 $0.360 API

Region availability

TPM / RPM are default account quotas from AWS Service Quotas where a model-specific limit is published. They are per-account defaults and adjustable on request.

Where this model actually runs

Under a strict residency constraint, gpt-oss-120b can be served without the request leaving 12 of the 25 jurisdictions with a Bedrock region.

gpt-oss-120b appears in

Common questions

How much does gpt-oss-120b cost on Amazon Bedrock?
$0.150 per 1M input tokens and $0.600 per 1M output tokens in us-east-1.
Which AWS regions support gpt-oss-120b?
13 of 31 regions: us-east-1, us-east-2, us-west-2, eu-west-1, eu-west-2, eu-central-1, eu-north-1, eu-south-1, ap-northeast-1, ap-south-1, ap-southeast-2, ap-southeast-3, sa-east-1.
What is the model ID for gpt-oss-120b on Bedrock?
openai.gpt-oss-120b-1:0.

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