GPT Proto

GPTProto

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      GPT 6 Luna新功能
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      GLM 5.3
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      Gemini 3.7 Flash
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      Grok 4.6
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    影像

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      GPT Image 2.5 Sunburst新功能
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      GPT Image 2
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      Nano Banana Pro (Gemini 3 Pro Image)
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      Nano Banana 2 (Gemini 3.1 Flash Image)
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      Midjourney
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      GPT Image 2.5 Flare
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    影片

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      Minimax H3新功能
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      Seedance 2.5 (Build 260628)
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      Seedance 2.0 (Build 260128)
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      Seedance 2.0 Mini (Build 260615)
    • kling
      Kling v3.0 4k
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      Vidu Q3 Turbo
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  • 生成器

    • 建立圖片
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    • 在畫布中編輯
    • 聊天

    功能

    • AI 貓跳舞影片生成器新功能
    • 無限制 AI 影片生成器
    • AI 包裝設計生成器
    • 動漫 AI 藝術生成器
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    提示詞

    • Seedance 2.0 提示詞新功能
    • GPT Image 2 提示詞
    • Nano Banana Pro 提示詞
    • Seedream 5.0 Pro 提示詞
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  • AI 部落格

    • OpenRouter 與 GPTProto:定價、模型、路由,以及 2026 年哪個 API 更好?
    • AI 產品廣告工作流程:從洗衣精圖片到 25 秒廣告片
    • DeepSeek V4 Pro 與 GLM 5.2:2026 年哪個更好?
    • 2026 年 7 款最佳影像編輯 AI 模型:API、批次編輯與產品照片
    • DeepSeek V4 Pro 與 Kimi K3:0813 更新後有何變化?
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    AI 洞察

    • DeepSeek 尖峰定價已上線:API 何時費用更高?
    • 什麼是 GLM-5.3?Z.ai 悄然推出的程式設計方案、價格與已確認的升級
    • 什麼是 OpenAI 最新的 Astra 模型?發布日期、基準測試與比較(2026)
    • MiniMax H3 正式登場:其影片編輯升級實際帶來哪些改變
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定價+7% 贈送
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立即開始
  1. 首頁
  2. /模型
  3. /OpenAI
  4. /gpt-6-sol
OpenAI
GPT 6 Sol
$ 
Access GPT-6 Sol on GPTProto for demanding coding, code review and multi-step agent work. Use its 1.05M-token context and adjustable reasoning to handle substantial task material. Check the live rate and try the model with a GPTProto API key.

模態

輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字

/

上下文

API 呼叫範例
$ 
curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "gpt-6-sol",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'
GPT 6 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.

你的用量

OpenAI · ≈ 148M tokens/mo(48M 快取)

OpenRouter
牌價 + 5.5% 儲值手續費
$288.65
每月
輸入(未快取)$67.52
快取讀取$10.128
輸出$211
OpenAI
直接向 OpenAI 購買(牌價)
$273.60
每月
輸入(未快取)$64
快取讀取$9.6
輸出$200
最划算
GPTProto
官方價 20% off
$218.88
每月
折扣後$218.88
實際成本$218.88
各來源月成本
OpenRouter
$288.65
OpenAI
$273.60
GPTProto
$218.88
每月節省 $54.72
在 GPTProto 相較 OpenAI(−20%)
年省約 $656.64 · 隨用隨付

OpenRouter 成本含約 5.5% 儲值手續費。GPTProto 在官方價上另有模型折扣(10–30% off),贈送額度也按折扣價消耗——節省會疊加。預估假設 60% 快取命中率。

相關模型
所有模型
GPT 6 Sol
目前
$ 
byOpenAI1.05M context$1.6/M input$8/M output
GPT 6 Luna
$ 
byOpenAI1.05M context$0.08/M input$0.4/M output
Jev Latest
$ 
byTypesafeAI$0.0336/M input
Grok 4.7
$ 
byGrok500K context$1.2/M input$3.6/M output
DeepSeek Flash
$ 
byDeepSeek$0.3/M input$1.2/M output
Hy4 Preview
$ 
byHunyuan1M context$0.7923/M input$2.376/M output
GPT 6 Astra
$ 
byOpenAI1.05M context$8/M input$40/M output
Gemini 3.8 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
Claude Fable 5.1
$ 
byClaude1M context$9/M input$45/M output
Qwen3.8 Max 0902
$ 
byQwen1M context$1.8/M input$5.4/M output
GLM 5.3 Flash
$ 
byZ-AI1.31M context$0.15/M input$0.5/M output
DeepSeek v4 Flash Vision Exp
$ 
byDeepSeek1.05M context$0.3/M input$1.2/M output
GLM 5.3
$ 
byZ-AI1.31M context$1.26/M input$3.96/M output
Gemini 3.7 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
Grok 4.6
$ 
byGrok500K context$1.2/M input$3.6/M output
Qwen3.8 Max
$ 
byQwen1M context$1.8/M input$5.4/M output
Claude Opus 5
$ 
byClaude1M context$4.5/M input$22.5/M output
Gemini 3.6 Flash
$ 
byGoogle1.05M context$0.9/M input$4.5/M output
Kimi K3
$ 
byMoonshotAI1.05M context$2.7/M input$13.5/M output
GPT 5.6 Luna
$ 
byOpenAI1.05M context$0.16/M input$0.96/M output
GPT 5.6 Terra
$ 
byOpenAI1.05M context$1.6/M input$9.6/M output
GPT 5.6 Sol
$ 
byOpenAI1.05M context$3.2/M input$16/M output
Grok 4.5
$ 
byGrok500K context$1.2/M input$3.6/M output
Claude Sonnet 5
$ 
byClaude1M context$1.8/M input$9/M output
Minimax M3
$ 
byMiniMax1.05M context$0.48/M input$0.96/M output
GLM 5.2
$ 
byZ-AI1.05M context$1.26/M input$3.96/M output
GPT 5.1 Chat Latest
$ 
byOpenAI$1/M input$8/M output
Qwen3.7 Max
$ 
byQwen1M context$0.36/M input$1.44/M output
DeepSeek v4 Flash
$ 
byDeepSeek1.05M context$0.3/M input$1.2/M output
Kimi K2.6
$ 
byMoonshotAI262K context$0.855/M input$3.6/M output
Minimax M2.5
$ 
byMiniMax205K context$0.24/M input$0.96/M output
Kimi K2.5
$ 
byMoonshotAI262K context$0.54/M input$2.7/M output
Doubao Seed 1.6 Thinking (Build 250715)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Thinking (Build 250615)
$ 
byBytedance262K context$0.0971/M input$0.9714/M output
Doubao Seed 1.6 Flash (Build 250615)
$ 
byBytedance262K context$0.0182/M input$0.1821/M output
模型輸入 → 輸出
GPT 6 Sol目前
$ 
1.05M$1.60 / $8.00 每 1M$2.00 / $0.16 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 6 Luna
$ 
1.05M$0.08 / $0.40 每 1M$0.10 / $0.008 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Jev Latest
$ 
—$0.03 / — 每 1M—
輸入: 文字
輸出: 文字
Grok 4.7
$ 
500K$1.20 / $3.60 每 1M— / $0.30 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
DeepSeek Flash
$ 
——$0.30 / $1.20 每 1M— / $0.006 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
Hy4 Preview
$ 
1M$0.79 / $2.38 每 1M— / $0.04 每 1M
輸入: 文字
輸出: 文字
GPT 6 Astra
$ 
1.05M$8.00 / $40.00 每 1M$10.00 / $0.80 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Gemini 3.8 Flash
$ 
1.05M$0.90 / $4.50 每 1M$0.60 / $0.09 每 1M
輸入: 文字輸入: 圖像輸入: 影片輸入: 文件輸入: 音訊
輸出: 文字
Claude Fable 5.1
$ 
1M$9.00 / $45.00 每 1M$11.25 / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Qwen3.8 Max 0902
$ 
1M$1.80 / $5.40 每 1M$2.25 / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 影片輸入: 文件輸入: 音訊
輸出: 文字
GLM 5.3 Flash
$ 
—1.31M$0.15 / $0.50 每 1M— / $0.03 每 1M
輸入: 文字輸入: 圖像輸入: 影片輸入: 文件
輸出: 文字
DeepSeek v4 Flash Vision Exp
$ 
—1.05M$0.30 / $1.20 每 1M— / $0.006 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
GLM 5.3
$ 
1.31M$1.26 / $3.96 每 1M— / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Gemini 3.7 Flash
$ 
1.05M$0.90 / $4.50 每 1M$0.60 / $0.09 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Grok 4.6
$ 
500K$1.20 / $3.60 每 1M— / $0.30 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
Qwen3.8 Max
$ 
1M$1.80 / $5.40 每 1M$2.25 / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 影片輸入: 文件
輸出: 文字
Claude Opus 5
$ 
1M$4.50 / $22.50 每 1M$5.63 / $0.45 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Gemini 3.6 Flash
$ 
1.05M$0.90 / $4.50 每 1M$0.60 / $0.09 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Kimi K3
$ 
1.05M$2.70 / $13.50 每 1M$2.70 / $0.27 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 5.6 Luna
$ 
1.05M$0.16 / $0.96 每 1M$0.20 / $0.02 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 5.6 Terra
$ 
1.05M$1.60 / $9.60 每 1M$2.00 / $0.16 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 5.6 Sol
$ 
1.05M$3.20 / $16.00 每 1M$4.00 / $0.32 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Grok 4.5
$ 
500K$1.20 / $3.60 每 1M$0.30 / $0.30 每 1M
輸入: 文字輸入: 圖像
輸出: 文字
Claude Sonnet 5
$ 
1M$1.80 / $9.00 每 1M$2.25 / $0.18 每 1M
輸入: 文字輸入: 文件
輸出: 文字
Minimax M3
$ 
1.05M$0.48 / $0.96 每 1M$0.10 / $0.10 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GLM 5.2
$ 
1.05M$1.26 / $3.96 每 1M$0.23 / $0.23 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
GPT 5.1 Chat Latest
$ 
—$1.00 / $8.00 每 1M$0.10 / $0.10 每 1M
輸入: 文字輸入: 圖像輸入: 文件
輸出: 文字
Qwen3.7 Max
$ 
1M$0.36 / $1.44 每 1M$0.07 / $0.07 每 1M
輸入: 文字輸入: 文件
輸出: 文字
DeepSeek v4 Flash
$ 
—1.05M$0.30 / $1.20 每 1M— / $0.006 每 1M
輸入: 文字
輸出: 文字
Kimi K2.6
$ 
262K$0.85 / $3.60 每 1M$0.14 / $0.14 每 1M
輸入: 文字輸入: 文件
輸出: 文字
Minimax M2.5
$ 
205K$0.24 / $0.96 每 1M$0.30 / $0.02 每 1M
輸入: 文字輸入: 文件
輸出: 文字
Kimi K2.5
$ 
262K$0.54 / $2.70 每 1M$0.09 / $0.09 每 1M
輸入: 文字輸入: 文件
輸出: 文字
Doubao Seed 1.6 Thinking (Build 250715)
$ 
262K$0.10 / $0.97 每 1M—
輸入: 文字輸入: 圖像
輸出: 文字
Doubao Seed 1.6 Thinking (Build 250615)
$ 
262K$0.10 / $0.97 每 1M—
輸入: 文字輸入: 圖像
輸出: 文字
Doubao Seed 1.6 Flash (Build 250615)
$ 
262K$0.02 / $0.18 每 1M—
輸入: 文字輸入: 圖像
輸出: 文字

GPT-6 Sol API

Use GPT-6 Sol when an application needs to reason across files, tool results and several stages of a task. Start with a representative coding or agent workflow, then compare its completed-task rate, latency and total cost with other available models.

1.05M-Token Context

Keep repository files, specifications and earlier findings in one request. The model supports a 1,050,000-token context window and up to 128,000 output tokens; large prompts still need retrieval discipline and a cost check.

Reasoning You Can Tune

Choose none, low, medium, high, xhigh or max according to the job. Start with the default medium setting, then test lower effort for routine work and higher effort for harder tasks.

Coding and Agent Workflows

Use GPT-6 Sol for code changes, debugging and plans that require several steps. Keep tool execution and verification in your application; the model proposes actions, while your workflow determines what runs.

Text and Image Input

OpenAI documents text and image input with text output. Use image understanding for screenshots or diagrams where supported by the selected GPTProto route; this model does not directly output images, audio or video.

What Is the GPT-6 Sol API?

GPT-6 Sol is OpenAI's model for demanding coding and agentic work. Its published model ID is gpt-6-sol. It accepts text and image input, returns text, and supports streaming and structured outputs upstream. It is a hosted proprietary model, not an open-source download.

Sol sits between Luna and the flagship Astra tier. Choose it when coding or multi-step work needs more reasoning than a routine, high-volume task. Test the same work and acceptance criteria across tiers; compare completed tasks, latency and total tokens, not just list prices.

Published specification GPT-6 Sol
OpenAI model ID gpt-6-sol
Context window 1,050,000 tokens
Maximum output 128,000 tokens
Input / output Text and image / text
Reasoning effort none, low, medium (default), high, xhigh, max
Streaming / structured outputs Supported upstream
Fine-tuning Not supported

The context window is a capacity limit, not a reason to send every repository file on each call. Retrieve relevant files and reserve output budget for the patch. For long tasks, log token usage, tool calls and whether the result passed your tests; retries change the true cost.

GPT-6 Sol API Applications

Repository-scale coding. Provide files and interfaces relevant to a change, then check the patch with your tests. This suits cross-file edits, reviews and debugging.

Agentic work. Your application handles search, file access and tool execution. OpenAI recommends Responses for tool calling; Chat Completions supports function calling only with reasoning_effort: "none". Check the route and parameters GPTProto exposes before migrating an agent.

Long documents and visual references. Analyze specifications or screenshots alongside written requirements. Use a separate model when the workflow needs image output.

GPT-6 Sol vs GPT-6 Astra and GPT-6 Luna

All three models publish 1,050,000-token context and 128,000-token maximum output. These are OpenAI upstream standard rates, not GPTProto prices; use the live widget for GPTProto billing.

Model Start here when… OpenAI list input / output per 1M tokens Practical check
GPT-6 Luna The workload is focused, repetitive and sensitive to cost or response time. $0.10 / $0.50 Measure whether it completes enough tasks without escalation.
GPT-6 Sol Coding, reasoning or multi-step agent tasks need more headroom. $2 / $10 Compare accepted results and tool loops against Luna and Astra.
GPT-6 Astra The hardest cross-tool, research or computer-use tasks justify the flagship tier. $10 / $50 Check whether its higher success rate reduces total cost per completed task.

OpenAI publishes separate cached-input, cache-write and long-context rates. Above 272,000 input tokens, higher long-context rates apply to the entire request upstream. Check GPTProto's live billing rules before budgeting a long agent run.

Before Moving an Existing Agent to Sol

Test your prompt and tool schema with the model ID on this page. Confirm that the selected route supports the needed combination of reasoning and tools. Compare low and medium effort on representative tasks, keep a fallback in your application, and track cost per completed task.

FAQ

How much does the GPT-6 Sol API cost on GPTProto?

Use this page's live Pricing panel for GPTProto's input, output and cache rates. OpenAI lists $2 input and $10 output per million tokens for standard shorter-context requests; those upstream rates are not your GPTProto bill.

How do I get a GPT-6 Sol API key and test it?

Create a key in your GPTProto dashboard, then select Try this model to see the model ID and Quick Start. The same GPTProto key works with other supported models. Keep it on the server side.

Can I use GPT-6 Sol for coding and long-running agents?

Yes. OpenAI identifies coding and agents as Sol use cases. Your application manages permissions, tools and tests. Large prompts and repeated tool loops affect cost, so trial a representative task first.

Does GPT-6 Sol support function calling with reasoning enabled?

OpenAI supports function calling via Responses. Its Chat Completions route allows it only with reasoning_effort: "none". Verify GPTProto's endpoint and parameters before depending on reasoning-enabled tool calls.

Is GPT-6 Sol open source, and can it generate images?

No. It is a hosted model. It accepts image input and returns text, but does not generate images. Choose a dedicated model in the OpenAI model collection for image output.

GPT-6 Sol vs Grok 4.7, Opus 5.5 or Gemini 4: which is better?

Compare available versions with identical prompts, tools and acceptance tests. Record completion rate, latency and total cost. Cross-vendor claims need repeatable results; the table above compares only the documented GPT-6 family.

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GPT Proto

以全球規模與穩定性,賦能 AI 創新:

透過我們的旗艦產品 GPT Proto,我們提供統一的介面,讓您能存取並整合全球頂尖 AI 供應商的 API,涵蓋文字、視覺、語音等領域。我們協助開發者與企業簡化整合流程,並無限制地加速創新。

全球基礎設施,在地合規:

To ensure enterprise-grade reliability and compliance, Talent Tech Global Limited operates specifically as our global Billing and Contracting Entity. Meanwhile, our core technical infrastructure and R&D teams are strategically distributed across global innovation hubs, including Silicon Valley, Singapore, and Hong Kong.

為擴展而生:

我們深知穩定性至關重要。我們的平台建立在強大的去中心化架構之上,支援動態自動擴展。無論您是進行試點專案還是處理數百萬次併發請求,我們的系統都能即時擴展以滿足需求,確保您的業務永遠不會受限於基礎設施。

導覽

  • 儀表板
  • 模型
  • 建立圖片
  • AI 圖片放大
  • AI 背景移除
  • 建立影片
  • 在畫布中編輯
  • 聊天
  • 功能
  • 定價
  • AI 文件
  • AI 部落格
  • AI 洞察
  • AI 技能

功能

  • AI 貓跳舞影片生成器
  • 無限制 AI 影片生成器
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LLM

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影片

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