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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. DeepSeek V4.1 FlashDeepSeekRemove
  2. Qwen3.8 27BAlibabaRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. Kimi K3.1 ProMoonShot AIRemove

4 is the maximum. Remove one to add another.

deepseek-v4.1-flash vs qwen3.8-27b vs gemini-3.5-transcribe vs kimi-k3.1-pro
AttributeDeepSeek V4.1 Flashdeepseek-v4.1-flashQwen3.8 27Bqwen3.8-27bGemini 3.5 Transcribegemini-3.5-transcribeKimi K3.1 Prokimi-k3.1-pro
Pricing
Input$0.30 / 1M$0.45 / 1M— Not priced per input token$2.00 / 1M
Output$1.20 / 1M$3.20 / 1M— Not priced per output token$10.00 / 1M
Cache Write (5m)$0.30 / 1M$0.45 / 1MNot applicable$2.00 / 1M
Cache Write (1h)$0.30 / 1M$0.45 / 1MNot applicable$2.00 / 1M
Cache Read$0.30 / 1M$0.45 / 1MNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262K98.3K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderDeepSeekAlibabaGoogleMoonShot AI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryDeepSeek 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.Qwen3.8 27B is an open-weight dense vision-language model from Qwen, designed for coding, professional knowledge work, research, and multimodal interaction. It combines strong text and visual understanding with capabilities optimized for sustained, real-world agentic tasks. The model supports flexible thinking modes that can be enabled for deeper reasoning or disabled for faster execution, making it well suited for long-running agents, multimodal workflows, coding assistants, and cost-conscious self-hosted deployments.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.