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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 1.7BQwenRemove
  2. GPT-6 LunaOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Nova-3DeepgramRemove

4 is the maximum. Remove one to add another.

qwen3-asr-1.7b vs gpt-6-luna vs perceptron-mk1.5 vs nova-3
AttributeQwen3 ASR 1.7Bqwen3-asr-1.7bGPT-6 Lunagpt-6-lunaPerceptron Mk1.5perceptron-mk1.5Nova-3nova-3
Pricing
Input$0 / 1M$0.10 / 1M$0.15 / 1M$0 / 1M
Output$0 / 1M$0.50 / 1M$1.50 / 1M$0 / 1M
Cache Write (5m)Not applicable$0.10 / 1M$0.15 / 1MNot applicable
Cache Write (1h)Not applicable$0.10 / 1M$0.15 / 1MNot applicable
Cache ReadNot applicable$0.10 / 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
ProviderQwenOpenAIPerceptronDeepgram
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-13—2026-09-252026-07-15
Description
SummaryQwen3-ASR 1.7B speech-to-text. Billed per second of audio.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Deepgram Nova-3 speech-to-text. Billed per second of audio.