GPT 6.1 Sol

Access GPT 6.1 Sol through GPTProto for coding, document analysis, and multi-step agent work. OpenAI positions the model near Astra for demanding tasks at lower standard token rates. Use one GPTProto key and balance to compare 200+ models across providers.

モダリティ

コンテキスト

API 利用例

curl --request POST "https://gptproto.com/v1/chat/completions" \
    --header "Authorization: Bearer $GPTPROTO_API_KEY" \
    --header "Content-Type: application/json" \
    --data '{
        "model": "gpt-6.1-sol",
        "messages": [
            {
                "role": "user",
                "content": "Hello"
            }
        ]
    }'

GPT 6.1 Sol pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 20% below official rates.

シナリオ	OpenAI リスト	OpenRouter	GPTProto	月間の節約
Personal10M トークン / 月（キャッシュ 4.8M）	$38.40	$40.51	$30.72	−$7.68≈ $92.16 / 年
Team100M トークン / 月（キャッシュ 48M）	$384.00	$405.12	$307.20	−$76.80≈ $921.60 / 年
Business500M トークン / 月（キャッシュ 240M）	$1920.00	$2025.60	$1536.00	−$384.00≈ $4608.00 / 年

提供元別の月額コスト

OpenRouter

$0.00

OpenAI

$0.00

GPTProto

$0.00

月あたり $0.00 節約

年間節約 ≈ $0.00 · 従量課金

GPT 6.1 Sol API

Build coding and agent workflows with OpenAI’s updated Sol model. Bring relevant files, specifications, and prior findings into a 1.05M-token context, then evaluate the result against your task requirements. GPTProto brings model access and billing together in one account.

Coding and Debugging

Work through code changes that span files, tests, and dependencies. OpenAI reports improved software-engineering results over GPT 6 Sol; evaluate patches on your own repository and acceptance tests.

1.05M-Token Context

Provide substantial task material within a 1,050,000-token context window. Retrieve relevant files and preserve room for reasoning and output instead of sending the entire repository on every turn.

Five Reasoning Levels

Choose low, medium, high, xhigh, or max. Medium is the default; test lower effort for routine steps and higher effort for difficult work. Reasoning cannot be switched off with none or minimal.

One Key Across Models

Compare Sol with other models using one GPTProto key and balance. Keep the same task and acceptance criteria when testing providers, then measure accepted results, response time, and total spend.

What Is the GPT 6.1 Sol API?

OpenAI GPT 6.1 Sol is a reasoning model for complex coding, computer use, and professional work. Released on September 29, 2026, it upgrades GPT 6 Sol while retaining its published context and output limits. It accepts text and images and generates text. OpenAI reports a 6.4-percentage-point improvement over GPT 6 Sol’s best DeepSWE v1.1 score at lower reasoning effort and cost. That is a provider-reported evaluation, rather than a guarantee for every application.

Published specification	GPT 6.1 Sol
Developer	OpenAI
OpenAI model ID	`gpt-6.1-sol`
Context window	1,050,000 tokens
Maximum output allowance	128,000 tokens
Input → output	Text and images → text
Reasoning effort	`low`, `medium` (default), `high`, `xhigh`, `max`
Streaming / structured outputs	Supported on OpenAI’s API
Tool calling	Responses API on OpenAI’s service

These are OpenAI specifications. The API Usage tab identifies the request format and features available through GPTProto.

GPT 6.1 Sol API Applications

Coding across files. Supply the relevant modules, interfaces, failing tests, and expected behavior. Ask for a patch with an explanation of its impact, then run the tests. This provides a concrete way to evaluate debugging and refactoring quality.

Agentic work and long tasks. Use an agent framework to supply tools, preserve state, and return execution results to the model. Define what counts as completion so the agent can inspect a result and continue when further work is needed.

Document and visual analysis. Combine written requirements with screenshots, charts, or document content. Request findings tied to the supplied material. Check the chosen route’s file-input support before building a workflow around PDFs or uploaded documents.

GPT 6 Sol vs GPT 6.1 Sol vs Sonnet 5.5

GPT 6.1 Sol’s upgrade changes model capability, cached-input pricing, and request compatibility. Its context window and standard input/output token rates remain the same as GPT 6 Sol’s. Sonnet 5.5 has the same published standard input/output rates, so selection also depends on task results and integration requirements.

Decision factor	GPT 6 Sol	GPT 6.1 Sol	Claude Sonnet 5.5
Context window	1,050,000 tokens	1,050,000 tokens	1M tokens
Published maximum output	128,000 tokens	128,000 tokens	128K tokens
Official standard input / output per 1M tokens	$2 / $10	$2 / $10	$2 / $10
Official cached input per 1M tokens	$0.20	$0.10	$0.20
Default reasoning / effort	`medium`; supports `none`	`medium`; no `none` or `minimal`	Adaptive thinking; `high` effort
Practical starting point	Existing Sol workflows requiring evaluation	Complex coding and agents upgrading from Sol	Defined coding and analysis tasks on a Claude stack

Prices above are provider list rates, not GPTProto charges. OpenAI rates refer to Standard processing with no more than 272K input tokens; other tiers and longer prompts have separate rates.

Compare GPT 6 Sol and Claude Sonnet 5.5 on identical tasks. For repeated-context workflows, record cache hits alongside generated tokens, tool loops, and retries. Choose using cost per accepted result, rather than a single benchmark rank.

Moving an Existing Agent to GPT 6.1 Sol

Check the endpoint as well as the model name. OpenAI supports tool calling through Responses; its Chat Completions route accepts requests without tools. A GPT 6 Sol agent using function calling with reasoning_effort: "none" therefore needs changes when moving to 6.1 Sol. 3 6

Use low or another supported reasoning setting, remove unsupported sampling fields such as temperature and top_p, and validate the request format exposed by GPTProto. Test a complete tool loop before switching live traffic. OpenAI-hosted tools such as search or shell access also require support from the selected service; model access alone does not provision them. 6

GPT 6.1 Sol API: Common Questions

How do I get a GPT 6.1 Sol API key and try the playground?

Use a GPTProto API key for requests through GPTProto. Open Playground to explore prompts, then use the API Usage example for integration. The same key can access other supported models on your account.

How much does GPT 6.1 Sol cost on GPTProto?

Check the live Pricing panel for input, output, and cache charges. Total cost depends on prompt length, reasoning, cache usage, and repeated requests. OpenAI applies higher rates to the whole request above 272K input tokens; confirm GPTProto’s corresponding billing rule for long tasks. See GPTProto pricing for account funding options.

What are the context window and output limits?

OpenAI publishes 1,050,000 tokens of context and a 128,000-token output allowance. Reasoning consumes generated-token budget, so the maximum visible answer can be smaller than the published output limit.

Can I disable reasoning to reduce latency?

OpenAI’s API does not accept none or minimal for this model. low is the lightest supported setting. Test it against medium to assess latency, token use, and completion quality.

Does GPT 6.1 Sol support tool calling through Chat Completions?

On OpenAI’s service, tool calling requires Responses. Chat Completions supports requests without tools. Check GPTProto’s API Usage tab for the available route before connecting a tool-using agent

Is GPT 6.1 Sol open source?

OpenAI offers it as a hosted model. Its launch documentation does not provide downloadable weights or a self-hosting package. Using the API through GPTProto is different from downloading an open-source model.

Can it generate images, audio, or video?

The model accepts images as input and returns text. Native audio and video are not supported. For media generation, choose a dedicated model from the OpenAI model collection.

このモデルに関連するガイド、比較、最新情報。

すべての記事

Jev vs LLMs: When to Use a Decision Model for Routing, Classification, and Guardrails

A developer guide to Jev vs general-purpose LLMs for AI routing, intent classification, and safety guardrails. Compare typed decision outputs, confidence signals, context limits, latency evidence, and pricing—then see when a decision model, an LLM, or a hybrid agent pipeline fits the task.

What Is Claude Sonnet 5.5? Pricing, Coding Gains, and What Changed

Sonnet 5.5 keeps Sonnet 5’s official token rates. Explore coding results, Claude Code access, upgrade checks, and GPTProto’s 10% off API pricing.

6 Best LLM API Providers in 2026: Multi-Model Platforms Compared

Compare the six best LLM API providers in 2026 by model access, pricing structure, speed, compatibility, governance, and developer experience.

GPT 6.1 Sol API

What Is the GPT 6.1 Sol API?

GPT 6.1 Sol API Applications

GPT 6 Sol vs GPT 6.1 Sol vs Sonnet 5.5

Moving an Existing Agent to GPT 6.1 Sol

GPT 6.1 Sol API: Common Questions

How do I get a GPT 6.1 Sol API key and try the playground?

How much does GPT 6.1 Sol cost on GPTProto?

What are the context window and output limits?

Can I disable reasoning to reduce latency?

Does GPT 6.1 Sol support tool calling through Chat Completions?

Is GPT 6.1 Sol open source?

Can it generate images, audio, or video?

関連記事

Jev vs LLMs: When to Use a Decision Model for Routing, Classification, and Guardrails

What Is Claude Sonnet 5.5? Pricing, Coding Gains, and What Changed

6 Best LLM API Providers in 2026: Multi-Model Platforms Compared