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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. S1Fish AudioRemove
  2. Gemini 4 HydrogenGoogleRemove
  3. Muse Spark OpenMetaRemove
  4. GPT-6.1 TerraOpenAIRemove

4 is the maximum. Remove one to add another.

s1 vs gemini-4-hydrogen vs muse-spark-open vs gpt-6.1-terra
AttributeS1s1Gemini 4 Hydrogengemini-4-hydrogenMuse Spark Openmuse-spark-openGPT-6.1 Terragpt-6.1-terra
Pricing
Input— Not priced per input token$1.50 / 1M$1.25 / 1M$1.00 / 1M
Output— Not priced per output token$7.50 / 1M$4.25 / 1M$5.00 / 1M
Cache Write (5m)Not applicable$1.50 / 1M$1.25 / 1M$1.00 / 1M
Cache Write (1h)Not applicable$1.50 / 1M$1.25 / 1M$1.00 / 1M
Cache ReadNot applicable$1.50 / 1M$1.25 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesNo
Catalogue
ProviderFish AudioGoogleMetaOpenAI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29———
Description
SummaryFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.