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. Gemma 4 26B A4BGoogleRemove
  2. GPT-6 LunaOpenAIRemove
  3. Transcribe 1 ProFish AudioRemove
gemma-4-26b-a4b-it vs gpt-6-luna vs transcribe-1-pro
AttributeGemma 4 26B A4Bgemma-4-26b-a4b-itGPT-6 Lunagpt-6-lunaTranscribe 1 Protranscribe-1-pro
Pricing
Input$0.13 / 1M$0.10 / 1M— Not priced per input token
Output$0.40 / 1M$0.50 / 1M— Not priced per output token
Cache Write (5m)$0.13 / 1M$0.10 / 1MNot applicable
Cache Write (1h)$0.13 / 1M$0.10 / 1MNot applicable
Cache Read$0.13 / 1M$0.10 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K1.1MN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleOpenAIFish Audio
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-24
Description
SummaryGemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind, featuring 25.2B total parameters with only 3.8B activated per token—delivering near 31B-class quality at a fraction of the compute cost. It supports multimodal inputs including text, images, and video (up to 60s at 1fps). The model includes a 256K token context window, native function calling, configurable thinking/reasoning modes, and structured output support. Released under the Apache 2.0 license, it is well suited for efficient, production-ready multimodal and agentic applications.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.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.