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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. Veo 3GoogleRemove
  2. Claude Fable 5.2AnthropicRemove
  3. Gemini 4 ArgonGoogleRemove
  4. Muse Spark OpenMetaRemove

4 is the maximum. Remove one to add another.

veo3 vs claude-fable-5.2 vs gemini-4-argon vs muse-spark-open
AttributeVeo 3veo3Claude Fable 5.2claude-fable-5.2Gemini 4 Argongemini-4-argonMuse Spark Openmuse-spark-open
Pricing
Request$1.26 / request———
BillingPay Per Request———
Cache Write (5m)Not applicable$10.00 / 1M$2.00 / 1M$1.25 / 1M
Cache Write (1h)Not applicable$16.00 / 1M$2.00 / 1M$1.25 / 1M
Cache ReadNot applicable$0.20 / 1M$2.00 / 1M$1.25 / 1M
Input—$8.00 / 1M$2.00 / 1M$1.25 / 1M
Output—$40.00 / 1M$10.00 / 1M$4.25 / 1M
Web Search—$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleAnthropicGoogleMeta
Categoryvideochatchatchat
Charge typePay Per RequestPay As You GoPay As You GoPay As You Go
Released————
Description
Summary—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.Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.