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. Gemini 3.7 FlashGoogleRemove
  2. Hy4 previewTencentRemove
  3. Qwen3.5-35B-A3BAlibabaRemove
  4. GLM 5.3Z.AIRemove

4 is the maximum. Remove one to add another.

gemini-3.7-flash vs hy4-preview vs qwen3.5-35b-a3b vs glm-5.3
AttributeGemini 3.7 Flashgemini-3.7-flashHy4 previewhy4-previewQwen3.5-35B-A3Bqwen3.5-35b-a3bGLM 5.3glm-5.3
Pricing
Input$0.375 / 1M$0.834 / 1M$0.25 / 1M$1.40 / 1M
Output$1.88 / 1M$2.50 / 1M$2.00 / 1M$4.40 / 1M
Cache Write (5m)$0.375 / 1M$0.834 / 1M$0.25 / 1M$1.40 / 1M
Cache Write (1h)$0.375 / 1M$0.834 / 1M$0.25 / 1M$1.40 / 1M
Cache Read$0.375 / 1M$0.834 / 1M$0.25 / 1M$1.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M262.1K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderGoogleTencentAlibabaZ.AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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.Qwen3.5-35B-A3B is a native vision-language model built on a hybrid architecture that combines linear attention mechanisms with a sparse Mixture-of-Experts (MoE) design to enhance inference efficiency. It delivers balanced multimodal performance with overall capabilities comparable to Qwen3.5-27B, making it a practical option for efficient vision-language and agent-based applications.GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.