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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. GLM 5.3 FlashZ.AIRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. Muse Spark 1.3MetaRemove
  4. Codestral 2508Mistral AIRemove

4 is the maximum. Remove one to add another.

glm-5.3-flash vs gemini-3.7-flash vs muse-spark-1.3 vs codestral-2508
AttributeGLM 5.3 Flashglm-5.3-flashGemini 3.7 Flashgemini-3.7-flashMuse Spark 1.3muse-spark-1.3Codestral 2508codestral-2508
Pricing
Input$0.075 / 1M$0.375 / 1M$1.25 / 1M$0.45 / 1M
Output$0.25 / 1M$1.88 / 1M$4.25 / 1M$1.35 / 1M
Cache Write (5m)$0.075 / 1M$0.375 / 1M$1.25 / 1M$0.45 / 1M
Cache Write (1h)$0.075 / 1M$0.375 / 1M$1.25 / 1M$0.45 / 1M
Cache Read$0.075 / 1M$0.375 / 1M$1.25 / 1M$0.45 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M256K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderZ.AIGoogleMetaMistral AI
Categorychatchatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released
Description
SummaryGLM-5.3-Flash is Z.AI's efficient native multimodal model, designed for coding and long-horizon agentic workflows. It combines strong multimodal capabilities with an architecture optimized for responsive, cost-efficient task execution. Built on a hybrid sparse and linear attention architecture, GLM-5.3-Flash maintains accurate long-context behavior while reducing computational overhead, making it well suited for coding agents, extended multi-step tasks, and scalable production workloads.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.Muse 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.Codestral is Mistral's cutting-edge language model for coding, released in late July 2025. It is purpose-built for low-latency, high-frequency developer workflows, excelling at tasks such as fill-in-the-middle (FIM) code completion, code correction, and test generation. Optimized for responsiveness and precision, Codestral is well suited for real-time coding assistance, IDE integration, and automated development pipelines where speed and accuracy are critical.