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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. Gemini 4 CarbonGoogleRemove
  2. S1Fish AudioRemove
  3. Nemotron 3.5 Super VL (Free)NVIDIARemove
  4. Kimi K3.1 ProMoonShot AIRemove

4 is the maximum. Remove one to add another.

gemini-4-carbon vs s1 vs nemotron-3.5-super-vl:free vs kimi-k3.1-pro
AttributeGemini 4 Carbongemini-4-carbonS1s1Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:freeKimi K3.1 Prokimi-k3.1-pro
Pricing
Input$2.00 / 1M— Not priced per input token$0 / 1M$2.00 / 1M
Output$10.00 / 1M— Not priced per output token$0 / 1M$10.00 / 1M
Cache Write (5m)$2.00 / 1MNot applicable—$2.00 / 1M
Cache Write (1h)$2.00 / 1MNot applicable—$2.00 / 1M
Cache Read$2.00 / 1MNot applicable$0 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M—$0 / 1M
Cache Write——$0 / 1M—
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderGoogleFish AudioNVIDIAMoonShot AI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoFreePay As You Go
Released—2026-07-29——
Description
SummaryGemini 4 Carbon is Google's frontier multimodal reasoning model, designed for advanced coding, agentic workflows, and complex multi-step problem solving. It supports text, image, audio, video, and file inputs, enabling integrated reasoning and analysis across diverse modalities. Optimized for long-horizon execution and demanding professional workloads, Gemini 4 Carbon supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high) to balance reasoning depth, latency, and cost. It is well suited for autonomous agents, software engineering, multimodal analysis, and large-scale workflow automation.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.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.