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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. Gemini 3.7 FlashGoogleRemove
  2. DeepSeek V4.1 FlashDeepSeekRemove
  3. DeepSeek V3.2 SpecialeDeepSeekRemove
gemini-3.7-flash vs deepseek-v4.1-flash vs deepseek-v3.2-speciale
AttributeGemini 3.7 Flashgemini-3.7-flashDeepSeek V4.1 Flashdeepseek-v4.1-flashDeepSeek V3.2 Specialedeepseek-v3.2-speciale
Pricing
Input$0.375 / 1M$0.30 / 1M$0.28 / 1M
Output$1.88 / 1M$1.20 / 1M$0.40 / 1M
Cache Write (5m)$0.375 / 1M$0.30 / 1M$0.28 / 1M
Cache Write (1h)$0.375 / 1M$0.30 / 1M$0.28 / 1M
Cache Read$0.375 / 1M$0.30 / 1M$0.28 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M163.8K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleDeepSeekDeepSeek
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released
Description
SummaryGemini 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.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.DeepSeek-V3.2-Speciale is a high-compute edition of V3.2 built for top-tier reasoning and agent performance. Using DeepSeek Sparse Attention and extensive reinforcement learning, it surpasses GPT-5 on tough reasoning benchmarks and approaches Gemini 3 Pro–level capability, while still remaining strong at coding and tool use. It also draws on a large agent-training pipeline to boost reliability and generalization in interactive environments.