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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. Mistral Small 4Mistral AIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 SolOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

mistral-small-2603 vs gemini-3.5-transcribe vs gpt-6-sol vs perceptron-mk1.5
AttributeMistral Small 4mistral-small-2603Gemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Solgpt-6-solPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0.15 / 1M— Not priced per input token$2.00 / 1M$0.15 / 1M
Output$0.60 / 1M— Not priced per output token$10.00 / 1M$1.50 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Cache Read$0.15 / 1MNot applicable$2.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context262.1K98.3K1.1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesNoYesNo
StreamingYesNoYesYes
Catalogue
ProviderMistral AIGoogleOpenAIPerceptron
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.