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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. Aura-2DeepgramRemove
  2. Gemini 4 ArgonGoogleRemove
  3. Gemini 4 HydrogenGoogleRemove
  4. Kimi K3.1 ProMoonShot AIRemove

4 is the maximum. Remove one to add another.

aura-2 vs gemini-4-argon vs gemini-4-hydrogen vs kimi-k3.1-pro
AttributeAura-2aura-2Gemini 4 Argongemini-4-argonGemini 4 Hydrogengemini-4-hydrogenKimi K3.1 Prokimi-k3.1-pro
Pricing
Input— Not priced per input token$2.00 / 1M$1.50 / 1M$2.00 / 1M
Output— Not priced per output token$10.00 / 1M$7.50 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$1.50 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$1.50 / 1M$2.00 / 1M
Cache ReadNot applicable$2.00 / 1M$1.50 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderDeepgramGoogleGoogleMoonShot AI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-16———
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.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.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.