Skip to content

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. Muse Spark 1.3MetaRemove
  2. GPT OSS 20BOpenAIRemove
  3. Gemini 3.7 FlashGoogleRemove
  4. Hy4 previewTencentRemove

4 is the maximum. Remove one to add another.

muse-spark-1.3 vs gpt-oss-20b vs gemini-3.7-flash vs hy4-preview
AttributeMuse Spark 1.3muse-spark-1.3GPT OSS 20Bgpt-oss-20bGemini 3.7 Flashgemini-3.7-flashHy4 previewhy4-preview
Pricing
Input$1.25 / 1M$0.075 / 1M$0.375 / 1M$0.834 / 1M
Output$4.25 / 1M$3.00 / 1M$1.88 / 1M$2.50 / 1M
Cache Write (5m)$1.25 / 1M$0.075 / 1M$0.375 / 1M$0.834 / 1M
Cache Write (1h)$1.25 / 1M$0.075 / 1M$0.375 / 1M$0.834 / 1M
Cache Read$1.25 / 1M$0.075 / 1M$0.375 / 1M$0.834 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M131.1K1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderMetaOpenAIGoogleTencent
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryMuse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.gpt-oss-20b is an open-weight, 21B-parameter OpenAI model released under Apache 2.0. It uses a Mixture-of-Experts design so only ~3.6B parameters run each step, enabling faster, lower-cost inference on consumer or single-GPU hardware. Trained in the Harmony format, it supports configurable reasoning depth, fine-tuning, function calling, tool use, and structured outputs.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.Tencent Hy4 Preview is a Mixture-of-Experts (MoE) model from Tencent, featuring 770B total parameters with 49B activated per token. It is designed for coding agents, complex tool-driven workflows, and professional productivity tasks that require strong planning and reliable execution. Optimized for context continuity and sustained multi-step work, Hy4 Preview is well suited for long-horizon coding, agentic automation, tool orchestration, and complex real-world workflows.