Skip to content

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. Claude Sonnet 5.5AnthropicRemove
  3. S2.1 ProFish AudioRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

qwen3-asr-0.6b vs claude-sonnet-5.5 vs s2.1-pro vs gpt-6-luna
AttributeQwen3 ASR 0.6Bqwen3-asr-0.6bClaude Sonnet 5.5claude-sonnet-5.5S2.1 Pros2.1-proGPT-6 Lunagpt-6-luna
Pricing
Input$0 / 1M$2.00 / 1M$0 / 1M$0.10 / 1M
Output$0 / 1M$10.00 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)Not applicable$2.50 / 1MNot applicable$0.10 / 1M
Cache Write (1h)Not applicable$4.00 / 1MNot applicable$0.10 / 1M
Cache ReadNot applicable$0.20 / 1MNot applicable$0.10 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1MN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesNoYes
Function CallingNoYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesNoYes
Catalogue
ProviderQwenAnthropicFish AudioOpenAI
Categoryvoicechatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-13—2026-07-29—
Description
SummaryQwen3-ASR 0.6B speech-to-text. Billed per second of audio.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.Fish Audio S2.1 Pro text-to-speech. Billed per UTF-8 byte of input text.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.