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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. Voxtral Mini 3B 2507Mistral AIRemove
gemini-4-carbon vs gemini-4-hydrogen vs voxtral-mini-3b-2507
AttributeGemini 4 Carbongemini-4-carbonGemini 4 Hydrogengemini-4-hydrogenVoxtral Mini 3B 2507voxtral-mini-3b-2507
Pricing
Input$2.00 / 1M$1.50 / 1M— Not priced per input token
Output$10.00 / 1M$7.50 / 1M— Not priced per output token
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$0 / 1M
Context
Max context1M1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleGoogleMistral AI
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-08-13
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.Mistral AI Voxtral Mini (3B) speech-to-text. Billed per second of audio.