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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. inklingThinkingMachinesRemove
  2. Gemini 3.7 FlashGoogleRemove
  3. GLM 5.3 FlashZ.AIRemove
  4. DeepSeek V4.1 FlashDeepSeekRemove

4 is the maximum. Remove one to add another.

inkling vs gemini-3.7-flash vs glm-5.3-flash vs deepseek-v4.1-flash
AttributeinklinginklingGemini 3.7 Flashgemini-3.7-flashGLM 5.3 Flashglm-5.3-flashDeepSeek V4.1 Flashdeepseek-v4.1-flash
Pricing
Input$0 / 1M$0.375 / 1M$0.075 / 1M$0.30 / 1M
Output$0 / 1M$1.88 / 1M$0.25 / 1M$1.20 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$0.375 / 1M$0.075 / 1M$0.30 / 1M
Cache Write (5m)$0.375 / 1M$0.075 / 1M$0.30 / 1M
Cache Write (1h)$0.375 / 1M$0.075 / 1M$0.30 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesYes
StreamingYesYesYesYes
Catalogue
ProviderThinkingMachinesGoogleZ.AIDeepSeek
Categorychatchatchatchat
Charge typeFreePay As You GoPay As You GoPay As You Go
Released
Description
SummaryInkling is a general-purpose multimodal autoregressive transformer model from Thinking Machines Lab, supporting text, image, and audio inputs with text output. It is designed for a wide range of applications, including reasoning, coding, multilingual understanding, and multimodal interaction. Optimized for agentic workflows, tool use, coding assistants, chatbots, retrieval-augmented generation (RAG), and instruction following, Inkling provides a versatile foundation for production AI systems requiring robust language and multimodal capabilities.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-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.DeepSeek V4.1 Flash is a cost-efficient sparse Mixture-of-Experts (MoE) model in DeepSeek's V4.1 family, optimized for coding, reasoning, and agentic workflows. Despite its efficiency-focused positioning, DeepSeek reports that it surpasses the previous V4 Pro in performance, inference speed, and overall task completion time. The model is particularly strong at long-horizon, multi-step execution, making it well suited for coding agents, complex problem solving, and autonomous workflows that must reliably carry tasks through to completion.