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. Llama 3.2 1b InstructMetaRemove
  2. GLM 5.3Z.AIRemove
  3. Hy4 previewTencentRemove
  4. Gemini 3.7 FlashGoogleRemove

4 is the maximum. Remove one to add another.

llama-3.2-1b-instruct vs glm-5.3 vs hy4-preview vs gemini-3.7-flash
AttributeLlama 3.2 1b Instructllama-3.2-1b-instructGLM 5.3glm-5.3Hy4 previewhy4-previewGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0.0025 / 1M$1.40 / 1M$0.834 / 1M$0.375 / 1M
Output$0.005 / 1M$4.40 / 1M$2.50 / 1M$1.88 / 1M
Cache Write (5m)$0.0025 / 1M$1.40 / 1M$0.834 / 1M$0.375 / 1M
Cache Write (1h)$0.0025 / 1M$1.40 / 1M$0.834 / 1M$0.375 / 1M
Cache Read$0.0025 / 1M$1.40 / 1M$0.834 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderMetaZ.AITencentGoogle
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryLlama 3.2 1B is a lightweight 1-billion-parameter model built for efficient NLP tasks like summarization, conversation, and multilingual analysis. It runs well in low-resource environments, supports eight core languages (and can be fine-tuned for more), making it a good fit for developers who need capable, multilingual AI without heavy compute costs.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.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.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.