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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. Claude Fable 5.2AnthropicRemove
  2. DeepSeek V3DeepSeekRemove
  3. Nemotron 3.5 Super VL (Free)NVIDIARemove
  4. Muse WonderMetaRemove

4 is the maximum. Remove one to add another.

claude-fable-5.2 vs deepseek-v3 vs nemotron-3.5-super-vl:free vs muse-wonder
AttributeClaude Fable 5.2claude-fable-5.2DeepSeek V3deepseek-v3Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeMuse Wondermuse-wonder
Pricing
Input$8.00 / 1M$0.38 / 1M$0 / 1M$4.00 / 1M
Output$40.00 / 1M$0.89 / 1M$0 / 1M$20.00 / 1M
Cache Write (5m)$10.00 / 1M$0.38 / 1M—$4.00 / 1M
Cache Write (1h)$16.00 / 1M$0.38 / 1M—$4.00 / 1M
Cache Read$0.20 / 1M$0.38 / 1M$0 / 1M$4.00 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Cache Write——$0 / 1M—
Context
Max context1M163.8K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderAnthropicDeepSeekNVIDIAMeta
Categorychatchatchatchat
Charge typePay As You GoPay As You GoFreePay As You Go
Released————
Description
SummaryClaude 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.—NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.