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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. Gemini 4 ArgonGoogleRemove
  2. Gemma 3 1BGoogleRemove
  3. Claude Fable 5.2AnthropicRemove
gemini-4-argon vs gemma-3-1b-it vs claude-fable-5.2
AttributeGemini 4 Argongemini-4-argonGemma 3 1Bgemma-3-1b-itClaude Fable 5.2claude-fable-5.2
Pricing
Input$2.00 / 1M— Not priced per input token$8.00 / 1M
Output$10.00 / 1M— Not priced per output token$40.00 / 1M
Cache Write (5m)$2.00 / 1M$0.00 / 1M$10.00 / 1M
Cache Write (1h)$2.00 / 1M$0.00 / 1M$16.00 / 1M
Cache Read$2.00 / 1M$0.00 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M32.8K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderGoogleGoogleAnthropic
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released———
Description
SummaryGemini 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.—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.