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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. Mistral Small 4Mistral AIRemove
  2. GPT-6 Luna ProOpenAIRemove
  3. Gemini 3.5 TranscribeGoogleRemove
mistral-small-2603 vs gpt-6-luna-pro vs gemini-3.5-transcribe
AttributeMistral Small 4mistral-small-2603GPT-6 Luna Progpt-6-luna-proGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0.15 / 1M$0.10 / 1M— Not priced per input token
Output$0.60 / 1M$0.50 / 1M— Not priced per output token
Cache Write (5m)$0.15 / 1M$0.10 / 1MNot applicable
Cache Write (1h)$0.15 / 1M$0.10 / 1MNot applicable
Cache Read$0.15 / 1M$0.10 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K1.1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderMistral AIOpenAIGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryMistral Small 4 is the latest release in the Mistral Small family, unifying capabilities from multiple flagship models into a single system. It integrates strong reasoning (Magistral), multimodal understanding (Pixtral), and agentic coding capabilities (Devstral), enabling a versatile, all-in-one model. Designed to handle complex analysis, software development, and visual tasks within the same workflow, Mistral Small 4 is well suited for integrated agentic applications and end-to-end problem solving across domains.GPT-6 Luna Pro uses the same underlying model as GPT-6 Luna, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. It combines Luna's speed and cost efficiency with deeper reasoning and more reliable multi-step execution, making it well suited for advanced coding, computer use, and agentic workflows where higher solution quality is needed without moving to a larger GPT-6 tier.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.