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Apertis

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. Aura-2DeepgramRemove
  2. GPT-6 Sol ProOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Qwen3 ASR 1.7BQwenRemove

4 is the maximum. Remove one to add another.

aura-2 vs gpt-6-sol-pro vs perceptron-mk1.5 vs qwen3-asr-1.7b
AttributeAura-2aura-2GPT-6 Sol Progpt-6-sol-proPerceptron Mk1.5perceptron-mk1.5Qwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input$0 / 1M$2.00 / 1M$0.15 / 1M$0 / 1M
Output$0 / 1M$10.00 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.15 / 1MNot applicable
Cache Write (1h)Not applicable$2.00 / 1M$0.15 / 1MNot applicable
Cache ReadNot applicable$2.00 / 1M$0.15 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1M36.9KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoNo
Function CallingNoYesNoNo
JSON ModeNoYesNoNo
StreamingNoYesYesNo
Catalogue
ProviderDeepgramOpenAIPerceptronQwen
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-16—2026-09-252026-08-13
Description
SummaryDeepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.Perceptron 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.