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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. Qwen3 ASR 0.6BQwenRemove
  2. GPT-6 SolOpenAIRemove
  3. GPT-6 AstraOpenAIRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

qwen3-asr-0.6b vs gpt-6-sol vs gpt-6-astra vs perceptron-mk1.5
AttributeQwen3 ASR 0.6Bqwen3-asr-0.6bGPT-6 Solgpt-6-solGPT-6 Astragpt-6-astraPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M$2.00 / 1M$10.00 / 1M$0.15 / 1M
Output$0 / 1M$10.00 / 1M$50.00 / 1M$1.50 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$10.00 / 1M$0.15 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$10.00 / 1M$0.15 / 1M
Cache ReadNot applicable$2.00 / 1M$10.00 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1M1M36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesNo
Function CallingNoYesYesNo
JSON ModeNoYesYesNo
StreamingNoYesYesYes
Catalogue
ProviderQwenOpenAIOpenAIPerceptron
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-13——2026-09-25
Description
SummaryQwen3-ASR 0.6B speech-to-text. Billed per second of audio.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 applicationsGPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.