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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. Gemini 3.5 TranscribeGoogleRemove
  2. S1Fish AudioRemove
  3. Grok 4.7SpaceXAIRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs s1 vs grok-4.7 vs gpt-6-luna
AttributeGemini 3.5 Transcribegemini-3.5-transcribeS1s1Grok 4.7grok-4.7GPT-6 Lunagpt-6-luna
Pricing
Input$0 / 1M$0 / 1M$1.60 / 1M$0.10 / 1M
Output$0 / 1M$0 / 1M$4.80 / 1M$0.50 / 1M
Cache Write (5m)Not applicableNot applicable$1.60 / 1M$0.10 / 1M
Cache Write (1h)Not applicableNot applicable$1.60 / 1M$0.10 / 1M
Cache ReadNot applicableNot applicable$1.60 / 1M$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3KN/A500K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeNoNoYesYes
StreamingNoNoYesYes
Catalogue
ProviderGoogleFish AudioSpaceXAIOpenAI
Categoryvoicevoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-07-29——
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.