Now on VeniceLLMReasoningAnonymous

GPT-6.1 Sol Ultrafast

OpenAI's mid-tier GPT-6.1 model in its fastest service tier — near-Astra performance for coding, agents and professional work, with a 1,050K-token context window.

For agents
curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai-gpt-61-sol-ultrafast",
    "messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
  }'
Model IDopenai-gpt-61-sol-ultrafast
Maker
OpenAI
Context
1,050K tokens
Reasoning
Supported
Privacy
Anonymous

Overview

What is GPT-6.1 Sol Ultrafast

GPT-6.1 Sol Ultrafast is OpenAI's GPT-6.1 Sol model served in its fastest scheduling tier, live on Venice since October 2026. It delivers near-flagship performance for coding, computer use and professional work, with a 1,050K-token context window, vision input, tool calling, reasoning and web search.

Using it anonymously on Venice

On Venice, GPT-6.1 Sol Ultrafast runs under the anonymized privacy tier: your prompts are not stored, profiled, or used for training, and nothing ties a request to a personal history. You get the same frontier checkpoint OpenAI ships — with vision, function calling, structured output and web search intact — billed per token instead of behind a subscription. Note that Venice's anonymized tier is not end-to-end encrypted or TEE-isolated; the privacy guarantee is zero retention of prompts.

AnonymousNo prompt trainingTEE · hardware enclaveEnd-to-end encrypted

Agent quickstart

Three calls, copied straight out

The API is OpenAI-compatible: change the base URL and the model id and existing client code works unchanged.

Streaming chat

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai-gpt-61-sol-ultrafast",
    "stream": true,
    "messages": [{ "role": "user", "content": "Draft the release note." }]
  }'

Tool calling

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai-gpt-61-sol-ultrafast",
    "messages": [{ "role": "user", "content": "Find the rate limits." }],
    "tools": [{
      "type": "function",
      "function": {
        "name": "search_docs",
        "description": "Search the API documentation.",
        "parameters": {
          "type": "object",
          "properties": { "query": { "type": "string" } },
          "required": ["query"]
        }
      }
    }],
    "tool_choice": "auto"
  }'

Python SDK

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["VENICE_API_KEY"],
    base_url="https://api.venice.ai/api/v1",
)

resp = client.chat.completions.create(
    model="openai-gpt-61-sol-ultrafast",
    messages=[{"role": "user", "content": "Build without permission."}],
)
print(resp.choices[0].message.content)

Specifications

Datasheet

Maker
OpenAI
Modality
Text and image input, text output (no audio or video)
License
Proprietary
Modes
Ultrafast (fastest service tier of GPT-6.1 Sol; Standard and Fast tiers also exist upstream)
Context window
1,050K tokens
Prompt length
Up to 922,000 input tokens
Input images
Supported — multiple images per request; accepted formats and size limits are not specified in Venice's API facts
Released
September 29, 2026 (GPT-6.1 Sol); Ultrafast service tier added October 8, 2026; on Venice since October 8, 2026
Knowledge cutoff
April 30, 2026
Reasoning efforts
low, medium (default), high, xhigh, max — none and minimal are not supported
Max output
128K tokens
Capabilities
Vision, Function calling, Reasoning, Web search
Privacy on Venice
Anonymized — prompts not stored
Available on Venice since
Oct 2026

Assessment

Strengths and limitations

Strengths
  • Near-flagship capability: OpenAI positions GPT-6.1 Sol as approaching GPT-6 Astra on agentic coding, computer use and professional work at a fraction of Astra's price, and OpenAI reports it matches Astra on the DeepSWE v1.1 coding benchmark.
  • Massive 1,050K-token context window with up to 922K input tokens — enough for entire codebases, long document sets, or multi-hour agent transcripts in one request.
  • Full agent toolkit: tool use / function calling, structured JSON-schema output, vision with multiple image inputs, and web search are all supported on Venice.
  • A five-step reasoning ladder (low → max) lets you trade latency and cost against depth per task instead of being stuck at one setting.
  • Ultrafast scheduling cuts wall-clock time dramatically — a third-party test measured roughly 4x faster completion than Standard with identical answer quality — which matters for interactive coding agents and live user-facing flows.
  • Cached input on Venice is $0.75 per 1M tokens versus $15 uncached, so agent loops that reuse a stable prefix get a 95% discount on the repeated context.
Limitations
  • Closed and proprietary: no open weights, so it cannot be self-hosted, audited, or fine-tuned. Kimi K3 is the open-weight frontier alternative on Venice.
  • It is the most expensive per-token model in this comparison: $15 in / $75 out per 1M on Venice. Batch jobs and overnight sweeps are better served by the standard tier or a cheaper rival.
  • Not uncensored: it ships with OpenAI's usage policies and safe-completions guardrails, so it will refuse some requests that open-weight models on Venice will handle.
  • No audio or video modalities: text and images in, text out only.
  • The speed premium only pays off when someone is waiting on the answer; for throughput work the same checkpoint at standard speed is the rational buy.
  • Knowledge cutoff of April 30, 2026: use the web-search capability for anything more recent.

Use cases

What it is good for

  1. 01Interactive coding agents where each second of latency is felt by the developer or end user.
  2. 02Long-horizon software engineering tasks across large codebases that exploit the 1,050K-token window.
  3. 03Multi-step business workflows that combine function calling, structured JSON output, and document or image understanding.
  4. 04Professional research and analysis over very long documents, with web search filling the post-April-2026 gap.
  5. 05Latency-sensitive production features — support copilots, live assistants — where frontier quality and fast response are both non-negotiable.

Prompting

Getting better results

Set reasoning effort deliberately: use low for drafts and extraction, xhigh or max for hard algorithmic or agentic problems — medium is only the default, not the ceiling.

Structure agent loops so the system prompt and early context stay byte-identical across calls; cached input on Venice costs $0.75 per 1M tokens instead of $15.

Pass multiple images in a single request when comparing screenshots, designs, or documents — the model accepts several image inputs per call.

Demand a JSON schema in the prompt for pipeline work; structured output is a first-class capability, not a prompt hack.

Route anything after April 30, 2026 through the web-search capability instead of trusting parametric memory.

Budget the window: cap prompts around 922K input tokens so you keep room for the full 128K-token output ceiling.

Alternatives

How it compares

ModelBest forContextOpen weightsPrice (Venice)
GPT-6.1 Sol UltrafastLatency-sensitive agentic coding & pro work1M tokensNo$15 in · $75 out / 1M
Claude Opus 5Frontier reasoning & long documents1M tokensNo$6 in · $30 out / 1M
Gemini 3.8 FlashFast everyday work at low cost1M tokensNo$0.94 in · $4.69 out / 1M
Kimi K3Open-weight frontier alternative1M tokensYes$3.75 in · $18.75 out / 1M

GPT-6.1 Sol Ultrafast is the right pick when a human is actively waiting on the answer — interactive coding agents and live professional workflows — and the per-token premium is cheaper than the latency. For batch jobs, overnight sweeps, or budget-sensitive volume, Claude Opus 5 or Gemini 3.8 Flash are the better buys.

Pricing

What it costs on Venice

Billed per token on Venice: $15 per 1M input tokens and $75 per 1M output tokens.

Input / 1M tokens
$15
Per 1M tokens
Output / 1M tokens
$75
Per 1M tokens
Cached input / 1M
$0.75
Per 1M tokens

New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.

Getting a key

From nothing to a first call

  1. 01

    Create a key in API settings. Nothing else is required to start.

  2. 02

    Export it as VENICE_API_KEY so the snippets above run unedited.

  3. 03

    Point an existing OpenAI client at https://api.venice.ai/api/v1. The scheme is part of the value: an OpenAI client given a bare host does not resolve it.

  4. 04

    Pass openai-gpt-61-sol-ultrafast as the model and send the request.

FAQ

Frequently asked questions

GPT-6.1 Sol Ultrafast is OpenAI's GPT-6.1 Sol model — the mid-tier model in the GPT-6 family, released September 29, 2026 — served through its fastest scheduling tier. The checkpoint, 1,050K-token context window, and answers are identical to standard GPT-6.1 Sol; only the response speed and the price differ. It is aimed at coding, computer use, and professional work.

On Venice, GPT-6.1 Sol Ultrafast is billed per token at $15 per 1M input tokens and $75 per 1M output tokens, with cached input at $0.75 per 1M. There is no subscription required — you pay only for what you use, and repeated context in agent loops qualifies for the cached rate.

Neither. GPT-6.1 Sol Ultrafast is a proprietary OpenAI model with closed weights, so it cannot be self-hosted or fine-tuned. It is not free to run — Venice bills per token — though Venice offers free daily credits for new accounts to try it. If you need open weights, Kimi K3 on Venice is the closest frontier-class open alternative.

Choose GPT-6.1 Sol Ultrafast when response speed is the binding constraint: interactive coding sessions and user-facing agents. Choose Claude Opus 5 when you can wait — it costs less than half as much per token on Venice, matches the 1M-class context window, and is a strong default for deep reasoning and long-document work.

Yes. On Venice, GPT-6.1 Sol Ultrafast supports tool use / function calling, vision with multiple image inputs per request, structured JSON-schema output, reasoning with a selectable effort level from low to max, and web search. Audio and video modalities are not supported — input is text and images, output is text.

Third-party testing shortly after launch measured Ultrafast completing the same coding jobs roughly four times faster than the Standard tier with identical answer quality, at about six times the token cost. OpenAI community reports cite up to 8x speed. The exact multiplier depends on the workload, but the trade is consistent: wall-clock time bought with tokens.

There is no separate model. Ultrafast is a service tier over the same gpt-6.1-sol checkpoint — same 1,050K-token context, same 128K output ceiling, same April 30, 2026 knowledge cutoff, same answers. Upstream it is selected with a service_tier setting; on Venice it is offered as its own faster, more expensive listing.

Venice runs GPT-6.1 Sol Ultrafast under its anonymized privacy tier: prompts are not stored, profiled, or used for training, and requests carry no personal history. You can use it in the Venice app or through the Venice API. Note that this tier is not end-to-end encrypted or TEE-isolated — the guarantee is zero retention of your prompts.

The underlying GPT-6.1 Sol model was released by OpenAI on September 29, 2026, and the Ultrafast service tier was added on October 8, 2026 — the same day Venice listed it. Both are live and available now.

Use GPT-6.1 Sol Ultrafast anonymously

One key, free to start, no credit card.

Start chat