OpenAI

gpt-6.1-sol

OpenAIToken-based
Create API Key

GPT‑6.1 Sol,这是 GPT‑6 Sol 的升级版,在智能体编程、计算机使用和专业工作方面表现尤为出色。它让 Sol 在高难度任务上的表现更接近 GPT‑6 Astra,而标准输入和输出 Token 价格仅为 Astra 的五分之一,让开发者在相同预算下有更多空间构建和运行能力强大的智能体。

new
Starting price
Input / Output · 1M
Context
—
Maximum input window
Modalities
→

Pricing by Supplier

OpenAI
-55%
Openai官方接口
Input$2$0.9/ 1M
Output$10$4.5/ 1M
Cache Read$0.1$0.045/ 1M
Cache Write (5m)$2.5$1.125/ 1M
Cache Write (1h)$4$1.8/ 1M
GPT官+AZ 混合
-40%
适合生产环境,az 和官 key 混合渠道
Input$2$1.2/ 1M
Output$10$6/ 1M
Cache Read$0.1$0.06/ 1M
Cache Write (5m)$2.5$1.5/ 1M
Cache Write (1h)$4$2.4/ 1M
GPT特价
-80%
适合vibe coding自用,gpt pro 号池
Input$2$0.4/ 1M
Output$10$2/ 1M
Cache Read$0.1$0.02/ 1M
Cache Write (5m)$2.5$0.5/ 1M
Cache Write (1h)$4$0.8/ 1M

Capabilities / Supported modalities

StreamingFunction callingToolsJSON modeStructured outputReasoningPrompt cachingSystem promptVisionCode interpreterWeb search
Input
Output

Provider & data privacy

Provider
OpenAIDocs
Tokenizer
o200k_base
License
Proprietary (commercial)Proprietary
Data retention30 daysNot used for upstream training by default

Performance

About gpt-6.1-sol

智能水平接近 Astra,价格仅为其五分之一

我们正式推出 GPT‑6.1 Sol,这是 GPT‑6 Sol 的升级版,在智能体编程、计算机使用和专业工作方面表现尤为出色。它让 Sol 在高难度任务上的表现更接近 GPT‑6 Astra,而标准输入和输出 Token 价格仅为 Astra 的五分之一,让开发者在相同预算下有更多空间构建和运行能力强大的智能体。

GPT‑6.1 Sol 以 Sol 的价格提供接近 Astra 的性能,成为目前同等性能下最具成本效益的模型。缓存输入每百万 Token 仅需 0.10 美元,比标准输入价格低 95%,让需要在多次请求中复用上下文的智能体工作负载更加经济实惠。

GPT‑6 Astra 仍是我们综合能力最强的前沿模型。无论是用户希望更频繁地完成的重要工作,还是 API 客户大规模构建和运行应用的需求,GPT‑6.1 Sol 都为能力与成本提供了新的平衡。

Use cases and prompting

Starting points for evaluation; supported inputs and options are listed in API access.

Use cases to explore

  • Draft and revise text with explicit audience, tone and format requirements.
  • Summarize supplied documents and compare answers against the original sources.

Practical tips

Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.

Example prompt

Summarize the following document in five bullet points. Separate confirmed facts from open questions, cite the relevant passages and do not invent missing information. Document: [paste your text]

API access

Code samples

RequestPOST/v1/chat/completions
Example request
Parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum number of tokens in the response
frequency_penalty
number
=0-2 ~ 2
Penalises repetition of frequent tokens
presence_penalty
number
=0-2 ~ 2
Encourages introducing new topics
stop
array—Up to 4 strings that stop generation
seed
integer—Deterministic sampling seed (best-effort)
n
integer
=1>= 1
Number of completions to generate
stream
boolean
=false
Stream tokens via Server-Sent Events
response_format
object—Force JSON object or schema-conforming output
tools
array—Tool / function declarations the model may call
tool_choice
string
autononerequired
Tool-choice policy or specific tool name
logprobs
boolean
=false
Return per-token log probabilities
top_logprobs
integer0 ~ 20Number of top log probabilities returned per token
logit_bias
object—Per-token logit bias map
user
string—End-user identifier for abuse monitoring

Replace <YOUR_API_KEY> with the API key from your token settings.

Authentication

All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.

Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.

Supported parameters

Generation parameters
ParameterTypeDefault / rangeDescription
temperature
number
=10 ~ 2
Sampling temperature; lower is more deterministic
top_p
number
=10 ~ 1
Nucleus sampling probability mass
max_tokens
integer>= 1Maximum number of tokens in the response
frequency_penalty
number
=0-2 ~ 2
Penalises repetition of frequent tokens
presence_penalty
number
=0-2 ~ 2
Encourages introducing new topics
stop
array—Up to 4 strings that stop generation
seed
integer—Deterministic sampling seed (best-effort)
n
integer
=1>= 1
Number of completions to generate
stream
boolean
=false
Stream tokens via Server-Sent Events
response_format
object—Force JSON object or schema-conforming output
tools
array—Tool / function declarations the model may call
tool_choice
string
autononerequired
Tool-choice policy or specific tool name
logprobs
boolean
=false
Return per-token log probabilities
top_logprobs
integer0 ~ 20Number of top log probabilities returned per token
logit_bias
object—Per-token logit bias map
user
string—End-user identifier for abuse monitoring

Rate limits

SupplierRPMTPMRPD
GPT官+AZ 混合870347K17K
GPT特价940377K19K
OpenAI540215K11K

RPM = requests per minute, TPM = tokens per minute, RPD = requests per day. Limits apply per token group.

Frequently asked questions about gpt-6.1-sol

What is gpt-6.1-sol?

GPT‑6.1 Sol,这是 GPT‑6 Sol 的升级版,在智能体编程、计算机使用和专业工作方面表现尤为出色。它让 Sol 在高难度任务上的表现更接近 GPT‑6 Astra,而标准输入和输出 Token 价格仅为 Astra 的五分之一,让开发者在相同预算下有更多空间构建和运行能力强大的智能体。

How do I call gpt-6.1-sol?

Create an API key with access to gpt-6.1-sol, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is gpt-6.1-sol priced?

Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.

How should I evaluate gpt-6.1-sol for my project?

Separate instructions from source material, describe the desired output and provide an example. Test tool use or structured output only when listed as supported.