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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 0.6BQwenRemove
  2. Claude Opus 5.5AnthropicRemove
  3. S2 ProFish AudioRemove
  4. GPT-6 LunaOpenAIRemove

4 is the maximum. Remove one to add another.

qwen3-asr-0.6b vs claude-opus-5.5 vs s2-pro vs gpt-6-luna
AttributeQwen3 ASR 0.6Bqwen3-asr-0.6bClaude Opus 5.5claude-opus-5.5S2 Pros2-proGPT-6 Lunagpt-6-luna
Pricing
Input$0 / 1M$4.00 / 1M$0 / 1M$0.10 / 1M
Output$0 / 1M$20.00 / 1M$0 / 1M$0.50 / 1M
Cache Write (5m)Not applicable$5.00 / 1MNot applicable$0.10 / 1M
Cache Write (1h)Not applicable$8.00 / 1MNot applicable$0.10 / 1M
Cache ReadNot applicable$0.40 / 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 Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks.Fish Audio S2 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.