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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. Kimi K3.1 ProMoonShot AIRemove
  2. Gemini 4 HydrogenGoogleRemove
  3. Transcribe 1Fish AudioRemove
kimi-k3.1-pro vs gemini-4-hydrogen vs transcribe-1
AttributeKimi K3.1 Prokimi-k3.1-proGemini 4 Hydrogengemini-4-hydrogenTranscribe 1transcribe-1
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
ProviderMoonShot AIGoogleFish Audio
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-07-29
Description
SummaryKimi 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.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.Fish Audio Transcribe 1 speech-to-text. Billed per second of audio.