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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-6.1 TerraOpenAIRemove
  2. Qwen3 VL 8B InstructAlibabaRemove
  3. Claude Fable 5.2AnthropicRemove
gpt-6.1-terra vs qwen3-vl-8b-instruct vs claude-fable-5.2
AttributeGPT-6.1 Terragpt-6.1-terraQwen3 VL 8B Instructqwen3-vl-8b-instructClaude Fable 5.2claude-fable-5.2
Pricing
Input$1.00 / 1M$0.09 / 1M$8.00 / 1M
Output$5.00 / 1M$0.345 / 1M$40.00 / 1M
Cache Write (5m)$1.00 / 1M$0.09 / 1M$10.00 / 1M
Cache Write (1h)$1.00 / 1M$0.09 / 1M$16.00 / 1M
Cache Read$1.00 / 1M$0.09 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262.1K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIAlibabaAnthropic
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.Qwen3-VL-8B-Instruct is a multimodal model for precise reasoning across text, images, and video. With improved fusion architectures (Interleaved-MRoPE, DeepStack, and text-timestamp alignment), it supports long-context understanding up to 1M tokens and handles tasks like document parsing, VQA, spatial reasoning, and GUI control. It delivers LLM-level text comprehension, stronger OCR across 32 languages, and robust performance across diverse visual conditions.Claude Fable 5.2 is Anthropic's most capable model for advanced technical work and open-ended problem solving, delivering significant improvements in coding, reasoning, and vision over Fable 5.1. It excels at exceptionally complex tasks, including large-scale software migrations, electronic system design, and advanced scientific and mathematical research. With up to 30% faster output generation, clearer communication, and always-on adaptive extended thinking, Fable 5.2 supports configurable reasoning effort from low to max (default high), with thinking preserved across turns. Designed for frontier engineering, scientific discovery, and ambitious long-horizon agentic workflows, it complements Opus 5.5 as a specialized option for the most demanding technical challenges.