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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. Nemotron Nano 9B V2 (Free)NVIDIARemove
  2. Claude Fable 5.2AnthropicRemove
  3. Muse Spark OpenMetaRemove
nemotron-nano-9b-v2 vs claude-fable-5.2 vs muse-spark-open
AttributeNemotron Nano 9B V2 (Free)nemotron-nano-9b-v2Claude Fable 5.2claude-fable-5.2Muse Spark Openmuse-spark-open
Pricing
Input$0 / 1M$8.00 / 1M$1.25 / 1M
Output$0 / 1M$40.00 / 1M$4.25 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1M$0.20 / 1M$1.25 / 1M
Cache Write (5m)—$10.00 / 1M$1.25 / 1M
Cache Write (1h)—$16.00 / 1M$1.25 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context131.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderNVIDIAAnthropicMeta
Categorychatchatchat
Charge typeFreePay As You GoPay As You Go
Released———
Description
SummaryNVIDIA Nemotron Nano 9B v2 is a 9B-parameter language model trained from scratch by NVIDIA, designed to handle both reasoning and non-reasoning tasks. It can generate an internal reasoning trace before producing a final answer, and this behavior is configurable via system prompts—allowing developers to enable or suppress visible reasoning as needed.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.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.