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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. Nova-3DeepgramRemove
  2. Transcribe 1 ProFish AudioRemove
  3. GPT-6 LunaOpenAIRemove
  4. Qwen3 ASR 1.7BQwenRemove

4 is the maximum. Remove one to add another.

nova-3 vs transcribe-1-pro vs gpt-6-luna vs qwen3-asr-1.7b
AttributeNova-3nova-3Transcribe 1 Protranscribe-1-proGPT-6 Lunagpt-6-lunaQwen3 ASR 1.7Bqwen3-asr-1.7b
Pricing
Input$0 / 1M$0 / 1M$0.10 / 1M$0 / 1M
Output$0 / 1M$0 / 1M$0.50 / 1M$0 / 1M
Cache Write (5m)Not applicableNot applicable$0.10 / 1MNot applicable
Cache Write (1h)Not applicableNot applicable$0.10 / 1MNot applicable
Cache ReadNot applicableNot applicable$0.10 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/AN/A1.1MN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingNoNoYesNo
Catalogue
ProviderDeepgramFish AudioOpenAIQwen
Categoryvoicevoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-152026-09-24—2026-08-13
Description
SummaryDeepgram Nova-3 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.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.Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.