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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. Kimi K2Moonshot AIRemove
  2. GPT-6.1 TerraOpenAIRemove
  3. Claude Fable 5.2AnthropicRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

kimi-k2 vs gpt-6.1-terra vs claude-fable-5.2 vs gemini-4-argon
AttributeKimi K2kimi-k2GPT-6.1 Terragpt-6.1-terraClaude Fable 5.2claude-fable-5.2Gemini 4 Argongemini-4-argon
Pricing
Input$0.34 / 1M$1.00 / 1M$8.00 / 1M$2.00 / 1M
Output$1.50 / 1M$5.00 / 1M$40.00 / 1M$10.00 / 1M
Cache Write (5m)$0.34 / 1M$1.00 / 1M$10.00 / 1M$2.00 / 1M
Cache Write (1h)$0.34 / 1M$1.00 / 1M$16.00 / 1M$2.00 / 1M
Cache Read$0.34 / 1M$1.00 / 1M$0.20 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context63K1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesNoYesYes
Catalogue
ProviderMoonshot AIOpenAIAnthropicGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released————
Description
SummaryKimi K2-Instruct-0905 is the newest and strongest Kimi K2 model — a trillion-parameter MoE system with 32B active parameters. It delivers major gains in agentic coding, better frontend development results, and an expanded 256K context window for longer tasks.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.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.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.