GPT-6.1 Sol
GPT-6.1 Sol is a chat-oriented large language model from OpenAI, tracked here with measured throughput of roughly 59 output tokens per second and a time to first token near 1.7 seconds.
API Pricing
| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $2.00 | $10.00 | $0.100 | |
| $2.00 | $10.00 | $0.100 | |
| $2.00 | $10.00 | - | |
| $2.00 | $10.00 | $0.100 | |
| $2.00 | $10.00 | $0.100 |
Prices updated daily. Last check: Oct 6, 2026
GPT-6.1 Sol pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- Humanity's Last Exam52.9%
Coding
- SciCode54.2%
Instruction & Long Context
- Long-Context Reasoning83.0%
Benchmarks measured Oct 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- OpenAI
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
Strengths
- Measured output speed of approximately 58.75 tokens per second, fast enough for streamed conversational output
- Independent latency and throughput figures available from Artificial Analysis rather than vendor-reported numbers only
- General-purpose chat model, so it can serve assistant, drafting, and text-transformation workloads from a single endpoint
- Part of OpenAI's GPT line, which means it is reachable through the widely adopted OpenAI-compatible chat completions interface used by most SDKs and agent frameworks
- Available through OpenAI's hosted API, removing the need to provision or manage GPU capacity
- Pricing across available providers is tracked in the table on this page for direct comparison against alternatives
Limitations
- Time to first token of roughly 1.7 seconds introduces a visible pause before responses begin, which is a drawback for latency-sensitive voice or autocomplete use cases
- We do not currently track a confirmed context window size for this model, so long-document limits must be checked in OpenAI's documentation
- Modality support (image, audio, or other non-text inputs) is not recorded in our database and should be verified directly
- No standard reasoning, coding, or knowledge benchmark scores are recorded for this entry, making head-to-head quality comparison difficult
- Throughput near 59 tokens per second is moderate; high-volume batch pipelines may finish faster on smaller, lighter-weight models
Key Features
About GPT-6.1 Sol
Common Use Cases
GPT-6.1 Sol is positioned as a general-purpose chat model, which makes it a reasonable fit for conversational assistants, customer-facing support flows, content drafting and rewriting, summarization, question answering over supplied text, and code explanation or generation inside a developer tool. Its measured throughput of around 59 tokens per second supports streamed output that reads at a natural pace, so interactive chat surfaces and IDE side-panels are workable targets. The roughly 1.7-second time to first token makes it less suited to ultra-low-latency scenarios such as real-time voice turn-taking or inline code autocomplete, where sub-second first-token response matters more than total generation quality. For very large batch jobs — bulk classification, tagging, or enrichment across millions of records — teams should compare its throughput and per-token cost against smaller models in the pricing table, since a moderate generation rate can dominate total wall-clock time at scale.
Frequently Asked Questions
How much does GPT-6.1 Sol cost to use?
Pricing depends on the provider and the pricing model — input and output tokens are usually billed separately, and some hosts offer batch or cached-input rates. Because these figures change frequently, check the pricing table on this page for current per-provider rates rather than relying on any fixed number.
What is GPT-6.1 Sol best used for?
It is catalogued as a general-purpose chat model, so it suits conversational assistants, drafting and editing, summarization, question answering, and code assistance. Its measured ~59 tokens per second output rate works well for streamed interactive responses.
How fast is GPT-6.1 Sol?
Artificial Analysis measurements tracked in our database show roughly 58.75 output tokens per second and a time to first token of about 1,677 milliseconds. That means responses stream at a comfortable reading pace but begin after a short initial delay.
What context window does GPT-6.1 Sol support?
We do not currently have a confirmed context window figure for this model in our database. Check OpenAI's API documentation for the authoritative context limit before designing long-document or long-conversation workloads around it.
Does GPT-6.1 Sol accept image or audio input?
Our catalog does not record modality details for this entry, so we cannot confirm which input types are supported. Verify multimodal support in OpenAI's official model documentation.
Should I pick GPT-6.1 Sol or a smaller model for high-volume jobs?
For large batch workloads, total throughput and per-token cost usually matter more than peak quality. At around 59 output tokens per second, GPT-6.1 Sol is a mid-pace generator, so compare it against lighter models on both speed and the per-provider rates shown in the pricing table on this page.