Qwen3.7 Plus
Mistral Medium 3.5
- Context
- 1.1Mtokens
- Listed
- 2w ago
Cost/1M tokens
OpenAI's GPT-6.1 Terra is a fast, efficient model presented as a step up from GPT-5.6 Terra, positioned at what the maker calls the cost-intelligence frontier with a new balance of speed, capability, and cost. OpenAI claims it nearly matches its most capable frontier models on visual reasoning and computer use while costing much less. It is built for computer-use agents and everyday work tasks such as drafting proposals, interpreting technical drawings, filling out forms, and editing videos.
- Multimodal model
- Accepts images, files
- 1.1M context
- Reasoning
- Tools
- Structured output
How it compares
Score vs. costArena WebDev
Each model at its best score · Dashed: the best score at each cost
- OpenAI
- Anthropic
- Google DeepMind
- Moonshot AI
- Meta
- xAI
- Xiaomi
- Z.ai
- Qwen
Level
Mid-tierThe lab's everyday default: strong on most tasks at a mid-range price.
Vs. your stack
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Sign inAdditional source evidence
- Source model
- openai/gpt-6.1-terra
- Source family
- gpt-terra
- Last updated
- 2026-10-26
- Knowledge cutoff
- 2026-06-01
- Model context
- 1.1M
- Maximum input
- 922K
- Model output limit
- 128K
- Open weights
- No
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- No
Complete source record (JSON)
{
"id": "openai/gpt-6.1-terra",
"name": "GPT-6.1 Terra",
"description": "Fast, efficient model for visual reasoning, precise computer use, and clear, natural writing.",
"family": "gpt-terra",
"last_updated": "2026-10-26",
"knowledge": "2026-06-01",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": false,
"modalities": {
"input": [
"text",
"image",
"pdf"
],
"output": [
"text"
]
},
"limit": {
"context": 1050000,
"input": 922000,
"output": 128000
},
"release_date": "2026-10-26",
"open_weights": false
}Text provenance
EU · product-scopedOpenAI textGrain watermarking
In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.
Official explanationFrequently asked questions
API and pricing
GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens. Input prices across 7 paid providers range from $0.50 to $2.00 per 1M tokens.
OpenAI is the cheapest provider for GPT-6.1 Terra, with the lowest blended price at a 3:1 input to output ratio. OpenAI charges $0.50 per 1M input tokens and $2.50 per 1M output tokens.
Yes. Cached input costs $0.05 per 1M tokens versus $1.00 uncached, a 95% discount, and cache writes cost $1.25 per 1M tokens.
No, the batch input discount versus standard is 0%. OpenAI offers batch pricing at $0.50 per 1M input tokens and $2.50 per 1M output tokens.
A typical request with 10,000 input tokens and 1,000 output tokens costs $0.0075 at the cheapest provider, OpenAI.
Endpoints are reliable: all 7 endpoints with uptime data over the last day ran at 99% uptime or better, and the best uptime was 100.0% by Amazon Bedrock, Azure and OpenAI.
Privacy and data
Azure is the GPT-6.1 Terra provider that offers zero data retention (ZDR eligible or 0-day retention).
Capabilities and specs
The context window is 1.1M tokens (1,050,000) and the maximum output is 128K tokens (128,000).
GPT-6.1 Terra accepts file, image and text inputs. Audio and video are not listed input modalities.
Yes, GPT-6.1 Terra supports tool calling (function calling).
Yes, GPT-6.1 Terra supports structured output (JSON schema or JSON mode).
Yes, reasoning mode is supported, with effort levels max, xhigh, high, medium, low and none and a default of medium. Reasoning is not always on, and 7 of 7 tracked providers expose it, with a reasoning_effort setting offered by a provider.
The knowledge cutoff of GPT-6.1 Terra is 2026-06-01.
Quality and benchmarks
GPT-6.1 Terra ranks 7 on Agent Arena with a score of 0.1, and ranks 13 on Arena WebDev with a score of 1679.
Yes, GPT-6.1 Terra is ahead of its predecessor GPT-5.6 Terra on Agent Arena, Arena WebDev, FrontierMath-Tier-4-v2-Private, FrontierMath-Tiers-1-3-v2-Private, GPQA diamond, OTIS Mock AIME 2024-2025 and SimpleQA Verified, and behind on none.
The matched alternatives are ERNIE-Light-DT-1.0 by Baidu, blended price $1.8325 per 1M tokens, and Muse Spark 1.3 and Muse Spark 1.2 by Meta, both blended price $2.00 per 1M tokens. Matches are based on model kind, blended price and release date.
ERNIE-Light-DT-1.0GPT-6.1 Terra vs ERNIE-Light-DT-1.0Muse Spark 1.3GPT-6.1 Terra vs Muse Spark 1.3Muse Spark 1.2GPT-6.1 Terra vs Muse Spark 1.2
Kimi K3 is the highest-ranked open-weight model on Arena Text, at rank 19. GPT-6.1 Terra itself is closed.
Versions and lineage
Both have a 1.1M token (1,050,000) context window, but GPT-6.1 Terra costs $1.00 input and $5.00 output per 1M tokens while GPT-6.1 Sol costs $2.00 input and $10.00 output. Terra was released October 26, 2026 and Sol on September 29, 2026.
Licensing and access
No, GPT-6.1 Terra is closed.
GPT-6.1 Terra is available on Azure and Amazon Bedrock, and there is no tracked endpoint on Google Vertex AI.
Basics
GPT-6.1 Terra was made by OpenAI and was first listed on OpenRouter on October 26, 2026.
No, GPT-6.1 Terra is closed and has a listed API price of $1.00 input and $5.00 output per 1M tokens.
Generated from Vertical Tabs data, updated November 11, 2026.
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