Skip to content

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. Claude Fable 5.2AnthropicRemove
  2. Codex MiniOpenAIRemove
  3. GPT-6.1 TerraOpenAIRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

claude-fable-5.2 vs codex-mini vs gpt-6.1-terra vs gemini-4-argon
AttributeClaude Fable 5.2claude-fable-5.2Codex Minicodex-miniGPT-6.1 Terragpt-6.1-terraGemini 4 Argongemini-4-argon
Pricing
Input$8.00 / 1M$0.75 / 1M$1.00 / 1M$2.00 / 1M
Output$40.00 / 1M$3.00 / 1M$5.00 / 1M$10.00 / 1M
Cache Write (5m)$10.00 / 1M$0.75 / 1M$1.00 / 1M$2.00 / 1M
Cache Write (1h)$16.00 / 1M$0.75 / 1M$1.00 / 1M$2.00 / 1M
Cache Read$0.20 / 1M$0.75 / 1M$1.00 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M200K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesNoYes
Catalogue
ProviderAnthropicOpenAIOpenAIGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
SummaryClaude 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.Codex Mini is a fine-tuned o4-mini model made for the Codex CLI. For most direct API usage, it’s better to use gpt-4.1 instead.GPT-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.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.