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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. DeepSeek V4.1 Flash 1017DeepSeekRemove
  2. Muse Spark OpenMetaRemove
  3. BGE Reranker V2 M3RerankerRemove
deepseek-v4.1-flash-1017 vs muse-spark-open vs BAAI/bge-reranker-v2-m3
AttributeDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017Muse Spark Openmuse-spark-openBGE Reranker V2 M3BAAI/bge-reranker-v2-m3
Pricing
Input$0.10 / 1M$1.25 / 1M$0.14 / 1M
Output$0.50 / 1M$4.25 / 1M$0.14 / 1M
Cache Write (5m)$0.10 / 1M$1.25 / 1MNot applicable
Cache Write (1h)$0.10 / 1M$1.25 / 1MNot applicable
Cache Read$0.10 / 1M$1.25 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M8.2K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderDeepSeekMetaReranker
Categorychatchatchat
Charge typePay As You GoPay As You GoPay 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.—