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OpenAI: GPT-6.1 Terra

by OpenAI

9.2
Quality score / 10

Overview

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...

Our take

Among the array of AI chatbots and assistants, OpenAI: GPT-6.1 Terra positions itself as a mid-tier option, sitting below GPT-6.1 Sol in OpenAI's own lineup and competing with models like Claude and Gemini. Its 1,050,000-token context window is notably larger than many alternatives, allowing for extensive input, which could be beneficial for tasks such as analysing lengthy research papers or processing substantial codebases. The inclusion of Vision capabilities means it can interpret image inputs, making it suitable for scenarios where understanding screenshots or diagrams is crucial, perhaps for a developer debugging code based on visual error logs. Unlike some models that focus purely on text generation, this iteration of GPT-6.1 offers structured (JSON) outputs and tool/function calling, facilitating agent-style workflows where the AI interacts with external systems. It also features built-in reasoning (chain-of-thought) for tackling more complex problems. Ideal for users engaged in research or writing who require a substantial context window and the ability to process visual information, it differentiates itself from free-tier offerings by being a paid-per-token model from the outset. This tool is best suited for those needing robust capabilities for agentic, coding, or writing tasks who are prepared to pay for usage.

How OpenAI: GPT-6.1 Terra stacks up

Among the 380 chatbots & llms tools in our directory, it ranks #3 of 375 on quality (9.2/10), 14% above the 375-tool average of 8.1, and its $1/1M input-token rate is in the mid-price range — 49% cheaper than the 363-model average of $1.94/1M.

Weighing quality against cost, OpenAI: GPT-6.1 Terra's cost-per-quality-point of $0.11 places it at #222 of 355 for value among chatbots & llms tools.

OpenAI: GPT-6.1 Terra in depth

OpenAI: GPT-6.1 Terra, built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $1.00/1M 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-6.1 Terra 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 no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

OpenAI: GPT-6.1 Terra 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
2026-10-27

Key features

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

Pricing

$1.00/1M tokens
Pay per token
Paid$1.00/1M tokens
API input
$1 / 1M tokens
API output
$5 / 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

  • −No free tier — usage is billed per token

Who should use OpenAI: GPT-6.1 Terra

  • →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 no free tier — usage is billed per token is a dealbreaker.

Best for

10 Best OpenAI: GPT-6.1 Terra Alternatives in 2026

OpenAI: GPT-6.1 Terra 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-6.1 Terra, 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
OpenAI: GPT-6.1 Terra ProPaid$1.00/1M tokens

OpenAI

GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served…

+ 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)
Read full OpenAI: GPT-6.1 Terra Pro review →
5
MoonshotAI: Kimi K3.1 ProPaid$2.00/1M tokens

Moonshot AI

Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3…

+ 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 MoonshotAI: Kimi K3.1 Pro review →
6
MiniMax: MiniMax M3.1 FlashPaid$0.15/1M tokens

MiniMax

MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across…

+ Low API price — $0.15 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 MiniMax: MiniMax M3.1 Flash review →
7

DeepSeek

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the…

+ 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 V4.1 Flash 1017 review →
8
Meta: Muse Spark OpenPaid$1.25/1M tokens

Meta

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers…

+ 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 Open review →
9
NVIDIA: Nemotron 3.5 Super VLFree tier$0.15/1M tokens

NVIDIA

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out…

+ Completely free to use via the OpenRouter API+ 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 NVIDIA: Nemotron 3.5 Super VL review →
10
Google: Gemini 4 ArgonPaid$2.00/1M tokens

Google

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and…

+ 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 4 Argon review →

OpenAI: GPT-6.1 Terra vs top alternatives

A side-by-side look at how OpenAI: GPT-6.1 Terra stacks up against its closest rivals.

FeatureOpenAI: GPT-6.1 TerraOpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score9.2 / 109.6 / 109.5 / 109.2 / 10
Starting price$1.00/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$1 / 1M tokens$0.1 / 1M tokens$1 / 1M tokens$2 / 1M tokens
API output price$5 / 1M tokens$0.5 / 1M tokens$5 / 1M tokens$10 / 1M tokens
Speed—FastFastFast
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
  • − No free tier — usage is billed per token
  • − 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-6.1 Terra free?

No — OpenAI: GPT-6.1 Terra is a paid tool, starting at $1.00/1M tokens.

Q. How much does OpenAI: GPT-6.1 Terra cost?

OpenAI: GPT-6.1 Terra starts at $1.00/1M tokens. API usage is around $1 per 1M input tokens and $5 per 1M output tokens.

Q. What is OpenAI: GPT-6.1 Terra best for?

OpenAI: GPT-6.1 Terra is best suited to research and writing, within the chatbots & llms category.

Q. What are the best OpenAI: GPT-6.1 Terra alternatives?

Popular alternatives to OpenAI: GPT-6.1 Terra include Claude, ChatGPT, Gemini and OpenAI: GPT-6.1 Terra Pro. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to OpenAI: GPT-6.1 Terra?

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-6.1 Terra?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), 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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