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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. GPT-6 SolOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Qwen3 ASR 1.7BQwenRemove
  4. Transcribe 1 ProFish AudioRemove

4 is the maximum. Remove one to add another.

gpt-6-sol vs perceptron-mk1.5 vs qwen3-asr-1.7b vs transcribe-1-pro
AttributeGPT-6 Solgpt-6-solPerceptron Mk1.5perceptron-mk1.5Qwen3 ASR 1.7Bqwen3-asr-1.7bTranscribe 1 Protranscribe-1-pro
Pricing
Input$2.00 / 1M$0.15 / 1M$0 / 1M$0 / 1M
Output$10.00 / 1M$1.50 / 1M$0 / 1M$0 / 1M
Cache Write (5m)$2.00 / 1M$0.15 / 1MNot applicableNot applicable
Cache Write (1h)$2.00 / 1M$0.15 / 1MNot applicableNot applicable
Cache Read$2.00 / 1M$0.15 / 1MNot applicableNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M36.9KN/AN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoNo
Function CallingYesNoNoNo
JSON ModeYesNoNoNo
StreamingYesYesNoNo
Catalogue
ProviderOpenAIPerceptronQwenFish Audio
Categorychatchatvoicevoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-08-132026-09-24
Description
SummaryGPT-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.Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.