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OpenAI: GPT-5.6 Sol

by OpenAI

9.2
Quality score / 10

Overview

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

Our take

The user who gets the most from this is the engineer running complex, multi-step coding and agent work — the kind where the model has to plan, call tools, read the results, and adjust over many steps. As the flagship Sol tier of OpenAI's GPT-5.6 series, it is built for exactly that, with the data noting particular strength at command-line and multi-step coding tasks. A developer wiring an autonomous agent that navigates a repository, runs commands, and iterates toward a fix has the profile in mind: the 1,050,000-token context window keeps the whole working set in view, chain-of-thought reasoning drives the planning, tool and function calling execute each step, and structured JSON output keeps the loop reliable. Vision input adds screenshots and diagrams to the mix. Against the general assistants it is compared with — Claude, ChatGPT, Gemini, Kimi K3 — this is the top-end API model for builders rather than a chat product. Pricing is $5.00 per 1M input tokens, above average, with no free tier. Ideal for engineering and research teams whose hardest coding and reasoning tasks reward a frontier model. Teams doing lighter or high-volume work should drop to the Terra or Luna tiers to control cost.

How OpenAI: GPT-5.6 Sol stacks up

Among the 367 chatbots & llms tools in our directory, it ranks #3 of 357 on quality (9.2/10), 15% above the 357-tool average of 8.0, and its $2/1M input-token rate is in the premium end — 0% cheaper than the 347-model average of $2.01/1M.

Weighing quality against cost, OpenAI: GPT-5.6 Sol's cost-per-quality-point of $0.22 places it at #254 of 326 for value among chatbots & llms tools.

OpenAI: GPT-5.6 Sol in depth

OpenAI: GPT-5.6 Sol, built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $2.00/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,050,000 tokens.

On the feature side, OpenAI: GPT-5.6 Sol brings 1,050,000-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is large 1,050,000-token context window, bigger than most models listed here, while the main trade-off to weigh is that above-average api pricing ($2 per 1m input tokens). Keep both in mind when deciding whether it fits your workflow.

OpenAI: GPT-5.6 Sol is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
1,050,000 tokens
Free tier
No
Updated
2026-08-28

Key features

  • 1,050,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Knowledge cutoff 2026-02-16

Pricing

$2.00/1M tokens
Pay per token
Paid$2.00/1M tokens
API input
$2 / 1M tokens
API output
$10 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Large 1,050,000-token context window, bigger than most models listed here
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)
  • +Supports tool / function calling for agent-style workflows

Cons

  • Above-average API pricing ($2 per 1M input tokens)

Who should use OpenAI: GPT-5.6 Sol

  • Anyone looking for a chatbots & llms tool from OpenAI.
  • Teams and individuals focused on research and writing.
  • People who value large 1,050,000-token context window, bigger than most models listed here.
  • Workflows that need a 1,050,000 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom above-average api pricing ($2 per 1m input tokens) is a dealbreaker.

Best for

10 Best OpenAI: GPT-5.6 Sol Alternatives in 2026

OpenAI: GPT-5.6 Sol is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to OpenAI: GPT-5.6 Sol, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
Qwen: Qwen3.8 FlashPaid$0.15/1M tokens

Qwen

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows…

+ Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.8 Flash review →
5
Z.ai: GLM 5.3 FlashPaid$0.07/1M tokens

Z.AI

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.

+ Low API price — $0.075 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,310,720-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Z.ai: GLM 5.3 Flash review →
6

Meta

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.2 Contributor review →
7

DeepSeek

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full DeepSeek: DeepSeek V4 Flash Vision Exp review →
8
Qwen: Qwen3.8 27BPaid$0.42/1M tokens

Qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 27B review →
9

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash (batch) review →
10
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.2 review →

OpenAI: GPT-5.6 Sol vs top alternatives

A side-by-side look at how OpenAI: GPT-5.6 Sol stacks up against its closest rivals.

FeatureOpenAI: GPT-5.6 SolOpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score9.2 / 109.6 / 109.5 / 109.2 / 10
Starting price$2.00/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$2 / 1M tokens$10 / 1M tokens$0.2 / 1M tokens$0.1875 / 1M tokens
API output price$10 / 1M tokens$50 / 1M tokens$1.2 / 1M tokens$0.9375 / 1M tokens
SpeedFastFastFast
Context window1,050,000 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 1,050,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Large 1,050,000-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • Above-average API pricing ($2 per 1M input tokens)
  • No native image generation
  • Fewer consumer integrations than ChatGPT
  • Usage caps on the most capable models
  • Can be verbose and overly cautious
  • Quality can be inconsistent on edge cases
  • Privacy concerns for some users

Frequently asked questions

Q. Is OpenAI: GPT-5.6 Sol free?

No — OpenAI: GPT-5.6 Sol is a paid tool, starting at $2.00/1M tokens.

Q. How much does OpenAI: GPT-5.6 Sol cost?

OpenAI: GPT-5.6 Sol starts at $2.00/1M tokens. API usage is around $2 per 1M input tokens and $10 per 1M output tokens.

Q. What is OpenAI: GPT-5.6 Sol best for?

OpenAI: GPT-5.6 Sol is best suited to research and writing, within the chatbots & llms category.

Q. What are the best OpenAI: GPT-5.6 Sol alternatives?

Popular alternatives to OpenAI: GPT-5.6 Sol include Claude, ChatGPT, Gemini and Qwen: Qwen3.8 Flash. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to OpenAI: GPT-5.6 Sol?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from OpenAI: GPT-5.6 Sol?

Common reasons include pricing, specific feature gaps (Above-average API pricing ($2 per 1M input tokens)), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

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