GPT-5.6 Sol
OpenAI · Active · available in 28 of 31 regions
Tool useVisionPrompt cachingStreaming Batch inferenceEmbeddingsFine-tuning
- Context window
- 1M
- 1,000,000 tokens
- Max output
- —
- Input / 1M
- $4.00
- us-east-1
- Output / 1M
- $20.00
What GPT-5.6 Sol is good for
editorialGPT-5.6 Sol offers a 1M-token context window with tool use and prompt caching, at the premium end of this provider’s range at $4.00 per 1M input tokens. Callable in 28 of 31 regions.
Suits
- Very long inputs. A 1M-token window holds an entire codebase or a day of transcripts in one call, so you can skip chunking.
- Repeated prompts. Supports prompt caching, so a re-sent prefix costs about 10× less than fresh input. On agentic loops that resend a long system prompt every step, this moves the bill more than the headline price does.
- Tool use. Can call functions, so it can drive retrieval, look things up, and take actions rather than only answering.
- Images. Accepts image input: screenshots, scanned documents, charts and UI captures.
Think twice if
- High volume. At $4.00 per 1M input tokens it sits at the expensive end of the OpenAI range. Worth it for hard tasks, wasteful for bulk extraction.
- Invocation. Reachable only through a cross-region inference profile — calling the bare model ID returns a validation error. Use an ID such as global.openai.gpt-5.6-sol.
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
Agentic workflows
Multi-step work where the model calls tools, reads the results and decides what to do next.
- · A support agent that looks up the order, checks the refund policy and drafts the reply before a human approves it.
- · An on-call assistant that reads logs and metrics, forms a hypothesis, and proposes the one command to run.
- · A migration bot that opens a pull request per file and reruns the test suite between each change.
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.
RAG and retrieval
Answering from your own documents, with the retrieved passages in the prompt.
- · An internal search over contracts and policies that quotes the clause it answered from.
- · A product assistant grounded in the current documentation rather than the training data.
- · A research summariser that reads twenty retrieved papers and reconciles where they disagree.
Model & inference profile IDs
Base model ID — direct on-demand invoke
Cross-region inference profiles (2)
Regions marked Inference profile only require a profile ID rather than the base model ID — invoking the base ID there returns a validation error. Regional (us., eu.) profiles carry a 10% premium over global.
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) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| us-east-2 US East (Ohio) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| us-west-1 US West (N. California) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| us-west-2 US West (Oregon) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ca-central-1 Canada (Central) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ca-west-1 Canada West (Calgary) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-west-1 EU (Ireland) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-west-2 EU (London) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-west-3 EU (Paris) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-central-1 EU (Frankfurt) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-central-2 Europe (Zurich) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-north-1 EU (Stockholm) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-south-1 EU (Milan) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| eu-south-2 Europe (Spain) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-east-2 Asia Pacific (Taipei) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-northeast-1 Asia Pacific (Tokyo) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-northeast-2 Asia Pacific (Seoul) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-northeast-3 Asia Pacific (Osaka) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-south-1 Asia Pacific (Mumbai) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-south-2 Asia Pacific (Hyderabad) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-southeast-1 Asia Pacific (Singapore) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-southeast-2 Asia Pacific (Sydney) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-southeast-3 Asia Pacific (Jakarta) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-southeast-4 Asia Pacific (Melbourne) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-southeast-5 Asia Pacific (Malaysia) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| ap-southeast-7 Asia Pacific (Thailand) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| il-central-1 Israel (Tel Aviv) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
| sa-east-1 South America (Sao Paulo) | $4.00 | $20.00 | $0.400 | $5.00 | — | — | curated |
Curated pricing. The AWS Price List API publishes no SKU for this model, so these figures are hand-maintained from AWS's public pricing page and verified on Aug 27, 2026. They are not machine-derived — confirm in the AWS console before committing spend. Global endpoint, requests up to 272K tokens. Beyond that AWS bills 2x input and 1.5x output. Promotional rate, held at least through 2026-11-21.
Region availability
Inference profile only us-east-1 Profile only Inference profile only us-east-2 Profile only Inference profile only us-west-1 Profile only Inference profile only us-west-2 Profile only Inference profile only ca-central-1 Profile only Inference profile only ca-west-1 Profile only Not available mx-central-1 Not available Inference profile only eu-west-1 Profile only Inference profile only eu-west-2 Profile only Inference profile only eu-west-3 Profile only Inference profile only eu-central-1 Profile only Inference profile only eu-central-2 Profile only Inference profile only eu-north-1 Profile only Inference profile only eu-south-1 Profile only Inference profile only eu-south-2 Profile only Inference profile only ap-east-2 Profile only Inference profile only ap-northeast-1 Profile only Inference profile only ap-northeast-2 Profile only Inference profile only ap-northeast-3 Profile only Inference profile only ap-south-1 Profile only Inference profile only ap-south-2 Profile only Inference profile only ap-southeast-1 Profile only Inference profile only ap-southeast-2 Profile only Inference profile only ap-southeast-3 Profile only Inference profile only ap-southeast-4 Profile only Inference profile only ap-southeast-5 Profile only Not available ap-southeast-6 Not available Inference profile only ap-southeast-7 Profile only Inference profile only il-central-1 Profile only Not available af-south-1 Not available Inference profile only sa-east-1 Profile only
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-5.6 Sol can be served without the request leaving 1 of the 25 jurisdictions with a Bedrock region.
GPT-5.6 Sol compared
Side-by-side pages against every model people weigh this one against.
GPT-5.6 Sol vs Claude Fable 5GPT-5.6 Sol costs 2.5× less per input token than Claude Fable 5.GPT-5.6 Sol vs Claude Haiku 4.5Claude Haiku 4.5 costs 4.0× less per input token than GPT-5.6 Sol, and GPT-5.6 Sol holds 1M tokens against 200K for Claude Haiku 4.5.GPT-5.6 Sol vs Claude Opus 4.5GPT-5.6 Sol costs 1.3× less per input token than Claude Opus 4.5, and GPT-5.6 Sol holds 1M tokens against 200K for Claude Opus 4.5.GPT-5.6 Sol vs Claude Opus 4.6GPT-5.6 Sol costs 1.3× less per input token than Claude Opus 4.6.GPT-5.6 Sol vs Claude Opus 4.7GPT-5.6 Sol costs 1.3× less per input token than Claude Opus 4.7.GPT-5.6 Sol vs Claude Opus 4.8GPT-5.6 Sol costs 1.3× less per input token than Claude Opus 4.8.GPT-5.6 Sol vs Claude Opus 5GPT-5.6 Sol costs 1.3× less per input token than Claude Opus 5.GPT-5.6 Sol vs Claude Sonnet 4.5Claude Sonnet 4.5 costs 1.3× less per input token than GPT-5.6 Sol, and GPT-5.6 Sol holds 1M tokens against 200K for Claude Sonnet 4.5.GPT-5.6 Sol vs Claude Sonnet 4.6Claude Sonnet 4.6 costs 1.3× less per input token than GPT-5.6 Sol.GPT-5.6 Sol vs Claude Sonnet 5Claude Sonnet 5 costs 1.3× less per input token than GPT-5.6 Sol.GPT-5.6 Sol vs GPT-5.6 LunaGPT-5.6 Luna costs 20× less per input token than GPT-5.6 Sol.GPT-5.6 Sol vs GPT-5.6 TerraGPT-5.6 Terra costs 2.0× less per input token than GPT-5.6 Sol.GPT-5.6 Sol vs Grok 4.6Grok 4.6 costs 2.0× less per input token than GPT-5.6 Sol, and GPT-5.6 Sol holds 1M tokens against 500K for Grok 4.6.GPT-5.6 Sol vs Nova 2 LiteNova 2 Lite costs 13× less per input token than GPT-5.6 Sol, and only GPT-5.6 Sol does tool use (Nova 2 Lite does not).GPT-5.6 Sol vs Nova LiteNova Lite costs 67× less per input token than GPT-5.6 Sol, and GPT-5.6 Sol holds 1M tokens against 300K for Nova Lite.
GPT-5.6 Sol appears in
Common questions
- How much does GPT-5.6 Sol cost on Amazon Bedrock?
- $4.00 per 1M input tokens and $20.00 per 1M output tokens in us-east-1. Cached input reads at $0.400, roughly a tenth of the input rate, which dominates the bill on agentic workloads that re-send a long prefix.
- Which AWS regions support GPT-5.6 Sol?
- 28 of 31 regions: us-east-1, us-east-2, us-west-1, us-west-2, ca-central-1, ca-west-1, eu-west-1, eu-west-2, eu-west-3, eu-central-1, eu-central-2, eu-north-1, eu-south-1, eu-south-2, ap-east-2, ap-northeast-1, ap-northeast-2, ap-northeast-3, ap-south-1, ap-south-2, ap-southeast-1, ap-southeast-2, ap-southeast-3, ap-southeast-4, ap-southeast-5, ap-southeast-7, il-central-1, sa-east-1. Regions marked profile-only need a cross-region inference profile ID such as global.openai.gpt-5.6-sol rather than the bare model ID.
- What is the context window of GPT-5.6 Sol?
- 1,000,000 tokens (1M).
- What is the model ID for GPT-5.6 Sol on Bedrock?
- openai.gpt-5.6-sol. In regions where it is only reachable through a cross-region inference profile, use a prefixed ID instead: global.openai.gpt-5.6-sol, us.openai.gpt-5.6-sol.