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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 4 CarbonGoogleRemove
  2. Gemini 4 HydrogenGoogleRemove
  3. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)GoogleRemove
gemini-4-carbon vs gemini-4-hydrogen vs gemini-3.1-flash-lite-image
AttributeGemini 4 Carbongemini-4-carbonGemini 4 Hydrogengemini-4-hydrogenNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)gemini-3.1-flash-lite-image
Pricing
Input$2.00 / 1M$1.50 / 1M—
Output$10.00 / 1M$7.50 / 1M—
Cache Write (5m)$2.00 / 1M$1.50 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$1.50 / 1MNot applicable
Cache Read$2.00 / 1M$1.50 / 1MNot applicable
Web Search$0 / 1M$0 / 1M—
Request——$0.0336 / request
Billing——Pay Per Request
Context
Max context1M1M66K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesNo
Catalogue
ProviderGoogleGoogleGoogle
Categorychatchatimage
Charge typePay As You GoPay As You GoPay Per Request
Released———
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.Gemini 4 Hydrogen is Google's high-efficiency multimodal model in the Gemini 4 family, optimized for high-throughput agentic workflows, coding, and multi-model routing. It delivers strong performance at lower cost and latency than Gemini 4 Carbon, supporting text, image, audio, video, and file inputs for versatile multimodal applications. Designed for scalable production workloads and long-horizon execution, Gemini 4 Hydrogen supports up to 1M output tokens through continuation and configurable reasoning effort levels (low, medium, high, and xhigh) to balance reasoning depth, speed, and cost. It is well suited for coding assistants, autonomous agents, complex workflow automation, and large-scale AI systems.Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest and most cost-efficient multimodal image generation model, designed for high-throughput visual workflows and real-time applications. It supports text-to-image generation, image editing, and multi-image composition through a unified API, while also producing text outputs alongside images. Delivering image generation in approximately 4 seconds, it combines fast inference with strong character consistency, precise editing, and real-world knowledge. The model generates 1K-resolution images across 14 aspect ratios and embeds an invisible SynthID watermark in all outputs. Optimized for the best balance of quality, speed, and cost, Nano Banana 2 Lite is ideal for prototyping, developer pipelines, and large-scale visual content generation.