Skip to content

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. Transcribe 1Fish AudioRemove
  2. GPT-6.1 TerraOpenAIRemove
  3. Gemini 4 CarbonGoogleRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

transcribe-1 vs gpt-6.1-terra vs gemini-4-carbon vs gemini-4-argon
AttributeTranscribe 1transcribe-1GPT-6.1 Terragpt-6.1-terraGemini 4 Carbongemini-4-carbonGemini 4 Argongemini-4-argon
Pricing
Input— Not priced per input token$1.00 / 1M$2.00 / 1M$2.00 / 1M
Output— Not priced per output token$5.00 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$1.00 / 1M$2.00 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$1.00 / 1M$2.00 / 1M$2.00 / 1M
Cache ReadNot applicable$1.00 / 1M$2.00 / 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
StreamingNoNoYesYes
Catalogue
ProviderFish AudioOpenAIGoogleGoogle
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29———
Description
SummaryFish Audio Transcribe 1 speech-to-text. Billed per second of audio.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.Gemini 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 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.