Roboflow

Claude Sonnet 4.6 vs GPT-6.1 Terra

GPT-6.1 Terra: 85.8% average across five Vision Evals tasks (#2 of 65 models). We have not run Claude Sonnet 4.6 through Roboflow's Vision Evals, so there is no head-to-head score.

Compare Claude Sonnet 4.6 vs GPT-6.1 Terra live

Run the same image across every model that supports a task and compare their outputs side-by-side.

These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.

Claude Sonnet 4.6 vs GPT-6.1 Terra Comparison Table

Evals updated October 26, 2026Pricing updated October 27, 2026

PropertyClaude Sonnet 4.6GPT-6.1 Terra
OrganizationAnthropicOpenAI
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateFeb 2026Oct 2026
Context Window1.0M1.1M
ParametersUnknownundisclosed
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$3.00$1.00
Output $/1M$15.00$5.00
Vision Tasks
CaptioningDemoSupported
ClassificationDemoSupported
Object DetectionDemoSupported
OCRDemoSupported
Visual Question AnsweringDemoSupported
Both support 5 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
OverallNot evaluated
85.8%
Avg cost / sample–$0.0033
Avg speed / sample–10.05s
By task
Object Detection (low)–
84.7%
±0.1, Mean of 3 runs, range 84.7 to 84.8
$0.0051
Object Detection (high)–
84.7%
±0.4, Mean of 3 runs, range 84.2 to 84.9
$0.0081
Counting (low)–
80.2%
±2.0, Mean of 3 runs, range 78.4 to 82.4
$0.0018
Counting (high)–
84.2%
±3.4, Mean of 3 runs, range 81.1 to 87.8
$0.0029
Identification (low)–
96.9%
±0.0, Mean of 3 runs, range 96.9 to 96.9
$0.0013
Identification (high)–
96.9%
±0.0, Mean of 3 runs, range 96.9 to 96.9
$0.0014
OCR (low)–
81.9%
$0.0033
by category
Single value
70.9%
Transcription
96.7%
Structured JSON
91.5%
Text localization
77.6%
OCR (high)–
84.4%
$0.0066
by category
Single value
74.8%
Transcription
97.0%
Structured JSON
93.4%
Text localization
79.2%
Reasoning (low)–
85.4%
±1.7, Mean of 3 runs, range 83.4 to 86.8
$0.0016
Reasoning (high)–
87.0%
±1.3, Mean of 3 runs, range 85.4 to 88.1
$0.0023

Claude Sonnet 4.6 vs GPT-6.1 Terra: Overview

Claude Sonnet 4.6

Claude Sonnet 4.6 is Anthropic's mid-tier large language model, released February 17, 2026, designed to balance performance, cost, and versatility for professional and developer use. It supports text and vision-based tasks with advanced reasoning, agentic capabilities, and Adaptive Thinking — a mode where the model dynamically scales its internal reasoning depth. A beta context window of up to 1,000,000 tokens (200K standard) enables processing of entire codebases or document collections in a single request. Parameters are undisclosed.

Optimized for coding, computer use, long-context reasoning, agent planning, and knowledge work, Sonnet 4.6 delivers a full generational upgrade over Sonnet 4.5 and approaches Opus 4.5-level performance across many benchmarks at a fraction of the cost. It is the default model on Claude.ai, Claude Cowork, and is available via API and major cloud platforms — making it well suited for production workloads requiring strong reasoning without flagship pricing.

GPT-6.1 Terra

GPT-6.1 Terra is an OpenAI model released on October 26, 2026 for visual reasoning, computer use and writing. It accepts text and image inputs and produces text, with a 1,050,000-token context window and up to 128,000 output tokens. OpenAI lists applications including matching product photographs to catalog entries, interpreting technical drawings and operating application screens.

The API exposes six reasoning effort settings: none, low, medium, high, xhigh and max. Medium is the default. The model supports structured outputs and tool calling through the Responses API. Vision Evals reports its Low and High results for text understanding, counting, identification, reasoning and object detection, using native OpenAI API inference. Terra is a proprietary model; its weights are not released.