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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. DeepSeek V4.1 Flash 1017DeepSeekRemove
  2. Muse Spark OpenMetaRemove
  3. Veo 3GoogleRemove
  4. Claude Fable 5.2AnthropicRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash-1017 vs muse-spark-open vs veo3 vs claude-fable-5.2
AttributeDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017Muse Spark Openmuse-spark-openVeo 3veo3Claude Fable 5.2claude-fable-5.2
Pricing
Input$0.20 / 1M$1.25 / 1M—$8.00 / 1M
Output$0.80 / 1M$4.25 / 1M—$40.00 / 1M
Cache Write (5m)$0.20 / 1M$1.25 / 1MNot applicable$10.00 / 1M
Cache Write (1h)$0.20 / 1M$1.25 / 1MNot applicable$16.00 / 1M
Cache Read$0.20 / 1M$1.25 / 1MNot applicable$0.20 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Request——$1.26 / request—
Billing——Pay Per Request—
Context
Max context1M1MN/A1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderDeepSeekMetaGoogleAnthropic
Categorychatchatvideochat
Charge typePay As You GoPay As You GoPay Per RequestPay As You Go
Released————
Description
SummaryDeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek’s cost-efficient Mixture-of-Experts (MoE) model, built on its innovative Causal Encoder-Decoder (CED) architecture. Featuring 552B total parameters with 8B activated for input and 16B for output, it combines efficient inference with native multimodal understanding through jointly trained text and visual representations. Optimized for coding, terminal and computer-use agents, and long-horizon workflows, the model introduces compressed KV caching that reduces cache memory usage to approximately one-quarter of the previous Flash generation. DeepSeek reports that it surpasses V4 Pro in performance, inference speed, and task completion time, making it well suited for cost-efficient autonomous agents, complex software engineering, and long-context analysis.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.—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.