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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 3.8 FlashGoogleRemove
  2. Nemotron 3.5 Super VL (Free)NVIDIARemove
  3. Perceptron Mk1.5PerceptronRemove
gemini-3.8-flash vs nemotron-3.5-super-vl:free vs perceptron-mk1.5
AttributeGemini 3.8 Flashgemini-3.8-flashNemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freePerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.75 / 1M$0 / 1M$0.15 / 1M
Output$3.75 / 1M$0 / 1M$1.50 / 1M
Cache Write (5m)$0.75 / 1M—$0.15 / 1M
Cache Write (1h)$0.75 / 1M—$0.15 / 1M
Cache Read$0.75 / 1M$0 / 1M$0.15 / 1M
Web Search$0 / 1M—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context1M1M36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderGoogleNVIDIAPerceptron
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released——2026-09-25
Description
SummaryGemini 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.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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.