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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. Gemini 4 CarbonGoogleRemove
  4. S1Fish AudioRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash-1017 vs muse-spark-open vs gemini-4-carbon vs s1
AttributeDeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017Muse Spark Openmuse-spark-openGemini 4 Carbongemini-4-carbonS1s1
Pricing
Input$0.20 / 1M$1.25 / 1M$2.00 / 1M— Not priced per input token
Output$0.80 / 1M$4.25 / 1M$10.00 / 1M— Not priced per output token
Cache Write (5m)$0.20 / 1M$1.25 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$0.20 / 1M$1.25 / 1M$2.00 / 1MNot applicable
Cache Read$0.20 / 1M$1.25 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderDeepSeekMetaGoogleFish Audio
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-07-29
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.Gemini 4 Carbon is Google's frontier multimodal reasoning model, designed for advanced coding, agentic workflows, and complex multi-step problem solving. It supports text, image, audio, video, and file inputs, enabling integrated reasoning and analysis across diverse modalities. Optimized for long-horizon execution and demanding professional workloads, Gemini 4 Carbon supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high) to balance reasoning depth, latency, and cost. It is well suited for autonomous agents, software engineering, multimodal analysis, and large-scale workflow automation.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.