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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. Gemini 4 ArgonGoogleRemove
  2. Claude Fable 5.2AnthropicRemove
  3. Jina Embeddings V4Jina AIRemove
gemini-4-argon vs claude-fable-5.2 vs jina-embeddings-v4
AttributeGemini 4 Argongemini-4-argonClaude Fable 5.2claude-fable-5.2Jina Embeddings V4jina-embeddings-v4
Pricing
Input$2.00 / 1M$8.00 / 1M$0.05 / 1M
Output$10.00 / 1M$40.00 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$10.00 / 1M$0.05 / 1M
Cache Write (1h)$2.00 / 1M$16.00 / 1M$0.05 / 1M
Cache Read$2.00 / 1M$0.20 / 1M$0.05 / 1M
Web Search$0 / 1M$0 / 1M—
Context
Max context1M1M8.2K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleAnthropicJina AI
Categorychatchatembedding
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.—