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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.

Gemini 3.7 FlashGoogle Remove
Llama 3.1 70B InstructMeta Remove
GLM 5.3Z.AI Remove

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gemini-3.7-flash vs llama-3.1-70b-instruct vs glm-5.3
Attribute	Gemini 3.7 Flashgemini-3.7-flash	Llama 3.1 70B Instructllama-3.1-70b-instruct	GLM 5.3glm-5.3
Pricing
Input	$0.375 / 1M	$0.10 / 1M	$1.40 / 1M
Output	$1.88 / 1M	$0.28 / 1M	$4.40 / 1M
Cache Write (5m)	$0.375 / 1M	$0.10 / 1M	$1.40 / 1M
Cache Write (1h)	$0.375 / 1M	$0.10 / 1M	$1.40 / 1M
Cache Read	$0.375 / 1M	$0.10 / 1M	$1.40 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	131.1K	1M
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No
Function Calling	Yes	No	Yes
JSON Mode	Yes	No	Yes
Streaming	Yes	No	Yes
Catalogue
Provider	Google	Meta	Z.AI
Category	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—
Description
Summary	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.	—	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.