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OpenAI

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.

Input from
$2.00 / 1M tokens
across 5 providers

API Pricing

ProviderInput / 1MOutput / 1MCached / 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 →
Intelligence
51.8 / 100
Output Speed
59.3 t/s
Latency (TTFT)
157.5s

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

•Chat completions interface for multi-turn conversational use
•Measured output throughput of ~58.75 tokens per second
•Measured time to first token of ~1,677 ms
•Token streaming suitable for incremental display in chat UIs
•Hosted API delivery through OpenAI, with no self-hosting requirement
•Part of the GPT 6.1 generation, distinguished by the Sol variant name
•Independent performance measurement sourced from Artificial Analysis
•Live per-provider pricing tracked in the comparison table on this page

About GPT-6.1 Sol

GPT-6.1 Sol is a conversational large language model released by OpenAI and listed in the computeprices.com catalog as a chat model. It sits within OpenAI's GPT series naming convention, where the numeric version indicates the generation and the suffix distinguishes a specific variant within that generation. Our database records the model as a general-purpose chat endpoint rather than a specialized embedding, image, or audio model. The independent measurements we track for GPT-6.1 Sol come from Artificial Analysis: an output generation rate of about 58.75 tokens per second and a time to first token of approximately 1,677 milliseconds. Those figures place it in the range where streaming responses appear at a readable pace for interactive chat, with a noticeable initial pause before the first token arrives — a latency profile common to larger models and to models that perform internal processing before emitting output. We do not currently track a confirmed context window length, input/output modality list, or tool-calling specification for this model, so prospective users should verify those details against OpenAI's own API documentation before building against them. In practice, a chat model with this latency and throughput profile is typically used for assistant-style interactions, drafting and editing, code assistance, and backend text transformation where a one-to-two second startup delay is acceptable. Buyers comparing GPT-6.1 Sol against other OpenAI variants or third-party models should weigh the measured speed figures above alongside per-provider pricing shown in the table on this page, since serving cost and throughput often trade off against each other across hosts.

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.