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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. DeepSeek V4 Pro 0813DeepSeekRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Nemotron 3.5 Super VL (Free)NVIDIARemove
deepseek-v4-pro-0813 vs gemini-3.5-transcribe vs nemotron-3.5-super-vl:free
AttributeDeepSeek V4 Pro 0813deepseek-v4-pro-0813Gemini 3.5 Transcribegemini-3.5-transcribeNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free
Pricing
Input$0.435 / 1M— Not priced per input token$0 / 1M
Output$0.87 / 1M— Not priced per output token$0 / 1M
Cache Write (5m)$0.435 / 1MNot applicable—
Cache Write (1h)$0.435 / 1MNot applicable—
Cache Read$0.435 / 1MNot applicable$0 / 1M
Web Search$0 / 1M$0 / 1M—
Cache Write——$0 / 1M
Context
Max context1M98.3K1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesNoYes
StreamingYesNoYes
Catalogue
ProviderDeepSeekGoogleNVIDIA
Categorychatvoicechat
Charge typePay As You GoPay As You GoFree
Released—2026-09-25—
Description
SummaryDeepSeek V4 Pro 0813 is DeepSeek's large-scale Mixture-of-Experts (MoE) model and the general availability (GA) release of DeepSeek V4 Pro. It is designed for high-capability workloads requiring advanced reasoning, coding, and agentic task execution. As the production-ready V4 Pro release, it is well suited for complex software engineering, long-horizon agent workflows, and demanding reasoning tasks where reliability and model capability are critical.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.