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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-6.1 SolOpenAIRemove
  2. Gemini 3.5 TranscribeGoogleRemove
  3. Hy3TencentRemove
  4. Perceptron Mk1.5PerceptronRemove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs gemini-3.5-transcribe vs hy3 vs perceptron-mk1.5
AttributeGPT-6.1 Solgpt-6.1-solGemini 3.5 Transcribegemini-3.5-transcribeHy3hy3Perceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M— Not priced per input token$0.14 / 1M$0.15 / 1M
Output$10.00 / 1M— Not priced per output token$0.58 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1MNot applicable$0.14 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1MNot applicable$0.14 / 1M$0.15 / 1M
Cache Read$2.00 / 1MNot applicable$0.14 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M98.3K262K36.9K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesNo
Function CallingYesYesYesNo
JSON ModeYesNoYesNo
StreamingYesNoYesYes
Catalogue
ProviderOpenAIGoogleTencentPerceptron
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25—2026-09-25
Description
SummaryGPT-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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.Hy3 is Tencent's 295B-parameter Mixture-of-Experts (MoE) model, activating 21B parameters per token across 192 experts, and designed for reasoning, agentic workflows, and production-scale applications. It supports a 256K-token context window and configurable reasoning modes, including no-think, low, and high reasoning effort to balance speed and problem-solving depth. Optimized for long-horizon tasks, coding, and tool-driven execution, Hy3 delivers strong performance in multi-turn reasoning, constraint tracking, and stable tool calling. With an emphasis on grounded responses and reduced hallucinations, it is well suited for software development, document processing, financial analysis, game development, and enterprise agent workflows.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.