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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. Gemini 4 ArgonGoogleRemove
  2. Gemini 4 HydrogenGoogleRemove
  3. Muse Spark OpenMetaRemove
  4. Aura-2DeepgramRemove

4 is the maximum. Remove one to add another.

gemini-4-argon vs gemini-4-hydrogen vs muse-spark-open vs aura-2
AttributeGemini 4 Argongemini-4-argonGemini 4 Hydrogengemini-4-hydrogenMuse Spark Openmuse-spark-openAura-2aura-2
Pricing
Input$2.00 / 1M$1.50 / 1M$1.25 / 1M— Not priced per input token
Output$10.00 / 1M$7.50 / 1M$4.25 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$1.50 / 1M$1.25 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$1.50 / 1M$1.25 / 1MNot applicable
Cache Read$2.00 / 1M$1.50 / 1M$1.25 / 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
ProviderGoogleGoogleMetaDeepgram
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-07-16
Description
SummaryGemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.Gemini 4 Hydrogen is Google's high-efficiency multimodal model in the Gemini 4 family, optimized for high-throughput agentic workflows, coding, and multi-model routing. It delivers strong performance at lower cost and latency than Gemini 4 Carbon, supporting text, image, audio, video, and file inputs for versatile multimodal applications. Designed for scalable production workloads and long-horizon execution, Gemini 4 Hydrogen supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high, and xhigh) to balance reasoning depth, speed, and cost. It is well suited for coding assistants, autonomous agents, complex workflow automation, and large-scale AI systems.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.Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.