GPT-6.1 Sol (Global) pricing, context window and limits
GPT-6.1 Sol (Global) costs $2 per million input tokens and $10 per million output tokens at Amazon Bedrock list price. It accepts up to 1,050,000 tokens of context and returns up to 128,000 tokens.
- Model id
bedrock/global.openai.gpt-6.1-sol - Snapshot
What does GPT-6.1 Sol (Global) cost?
| Input | $2 |
|---|---|
| Output | $10 |
| Cached input (read) | $0.1 |
| Cache write | $2.5 |
US dollars per million tokens. A dash means no price is published.
How much can GPT-6.1 Sol (Global) read and write?
| Context window | 1,050,000 |
|---|---|
| Max input | 922,000 |
| Max output | 128,000 |
What can GPT-6.1 Sol (Global) do?
| Vision (image input) | Yes |
|---|---|
| Tool calling | Yes |
| Structured output | Yes |
| Reasoning | Yes |
| Input | text, image |
| Output | text |
What does a request to GPT-6.1 Sol (Global) cost?
| A typical request: 1,000 tokens in, 500 out | $0.007 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.03 |
| 1,000 typical requests | $7 |
| 1 million tokens in and 1 million out | $12 |
Input read from the provider's prompt cache costs $0.1 per million tokens instead of $2, 95% less. A request that repeats a 1,000-token prompt from the cache costs $0.0051 instead of $0.007.
Among 191 Amazon Bedrock models with a published price, GPT-6.1 Sol (Global) is the 91st cheapest by input price. Its context window is the 3rd largest of 191. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call GPT-6.1 Sol (Global) through DVARA?
Configure the bedrock provider in the DVARA LLM Gateway and send the model id bedrock/global.openai.gpt-6.1-sol. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
What should I check before relying on this data?
The weekly review marked this entry. A person saw each mark and kept the model listed.
- The cached-input price is outside the usual 10–50% of the input price.
- The provider charges more above 200K tokens of input; the table shows the base price.
Which other Amazon Bedrock models are there?
- GPT-6 Sol (Global)$2 in · $10 out · 1.05M context
- GPT-6 Luna (Global)$0.1 in · $0.5 out · 1.05M context
- GPT-6 Astra (Global)$10 in · $50 out · 1.05M context
- GPT-5.6 Terra (Global)$2 in · $12 out · 1.05M context
- GPT-5.6 Sol (Global)$4 in · $20 out · 1.05M context
- GPT-5.6 Luna (Global)$0.2 in · $1.2 out · 1.05M context
- GPT-5.6 Luna (India)$0.22 in · $1.32 out · 1.05M context
- GPT-5.6 Terra (India)$2.2 in · $13.2 out · 1.05M context
- GPT-5.4$2.75 in · $16.5 out · 1M context
- GPT-5.5$5.5 in · $33 out · 1M context
- GPT-5.6 Luna$0.22 in · $1.32 out · 1.05M context
- GPT-5.6 Sol$4.4 in · $22 out · 1.05M context
Which models from other providers are similar to GPT-6.1 Sol (Global)?
These are the closest in context window and input price, one per provider.
- GPT-5.6 TerraOpenAI · $2 in · $12 out · 1.05M context
- Gemini 3.1 Pro PreviewGoogle Gemini · $2 in · $12 out · 1.05M context
- Claude Sonnet 5Anthropic · $2 in · $10 out · 1M context
- Qwen3.8 MaxAlibaba Qwen · $1.7774 in · $5.3323 out · 1M context
- GLM-5.2Zhipu GLM · $1.4 in · $4.4 out · 1M context