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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. Mistral Small 4Mistral AIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6.1 SolOpenAIRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs mistral-small-2603 vs perceptron-mk1.5 vs gpt-6.1-sol
AttributeGemini 3.5 Transcribegemini-3.5-transcribeMistral Small 4mistral-small-2603Perceptron Mk1.5perceptron-mk1.5GPT-6.1 Solgpt-6.1-sol
Pricing
Input— Not priced per input token$0.15 / 1M$0.15 / 1M$2.00 / 1M
Output— Not priced per output token$0.60 / 1M$1.50 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$0.15 / 1M$2.00 / 1M
Cache ReadNot applicable$0.15 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K262.1K36.9K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleMistral AIPerceptronOpenAI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-25—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Mistral 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.