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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.

  1. GPT Image 2OpenAIRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. Gemini 3.8 FlashGoogleRemove
gpt-image-2 vs deepseek-v4.1-flash vs gemini-3.8-flash
AttributeGPT Image 2gpt-image-2DeepSeek V4.1 Flashdeepseek-v4.1-flashGemini 3.8 Flashgemini-3.8-flash
Pricing
Request$0.04 / request
BillingPay Per Request
Cache Write (5m)Not applicable$0.30 / 1M$0.75 / 1M
Cache Write (1h)Not applicable$0.30 / 1M$0.75 / 1M
Cache ReadNot applicable$0.30 / 1M$0.75 / 1M
Input$0.30 / 1M$0.75 / 1M
Output$1.20 / 1M$3.75 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context272K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderOpenAIDeepSeekGoogle
Categoryimagechatchat
Charge typePay Per RequestPay As You GoPay As You Go
Released
Description
SummaryGPT Image 2 combines OpenAI's GPT-5.4 with advanced image generation capabilities from GPT Image 2, enabling fully integrated multimodal workflows. It allows users to seamlessly transition between reasoning, coding, and visual generation within a single interaction, making it well suited for creative, development, and agent-driven applications that require both intelligence and visual output.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.Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality.