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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 A4B (Free)GoogleRemove
  2. GPT-6 LunaOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemma-4-26b-a4b-it:free vs gpt-6-luna vs gemini-3.5-transcribe
AttributeGemma 4 26B A4B (Free)gemma-4-26b-a4b-it:freeGPT-6 Lunagpt-6-lunaGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0 / 1M$0.10 / 1M— Not priced per input token
Output$0 / 1M$0.50 / 1M— Not priced per output token
Cache Write$0 / 1M——
Cache Read$0 / 1M$0.10 / 1MNot applicable
Cache Write (5m)—$0.10 / 1MNot applicable
Cache Write (1h)—$0.10 / 1MNot applicable
Web Search—$0 / 1M$0 / 1M
Context
Max context262.1K1.1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleOpenAIGoogle
Categorychatchatvoice
Charge typeFreePay As You GoPay As You Go
Released——2026-09-25
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.