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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 K2 ThinkingMoonshot AIRemove
  2. Claude Fable 5.2AnthropicRemove
kimi-k2-thinking vs claude-fable-5.2
AttributeKimi K2 Thinkingkimi-k2-thinkingClaude Fable 5.2claude-fable-5.2
Pricing
Input$0.34 / 1M$8.00 / 1M
Output$1.50 / 1M$40.00 / 1M
Cache Write (5m)$0.34 / 1M$10.00 / 1M
Cache Write (1h)$0.34 / 1M$16.00 / 1M
Cache Read$0.34 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context262.1K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMoonshot AIAnthropic
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryKimi K2 Thinking is Moonshot AI's most advanced open reasoning model, built on a trillion-parameter MoE with 32B active parameters and a 256K context window. It's optimized for long-horizon, step-by-step reasoning with dynamic tool use, enabling sustained autonomous research, coding, and writing over hundreds of turns. It sets new open-source records on benchmarks like HLE and LiveCodeBench, and maintains stable multi-agent, tool-heavy workflows (200–300 calls) while balancing deep reasoning with efficient inference.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.