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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. Claude Sonnet 5.5AnthropicRemove
  4. Grok 4.7SpaceXAIRemove

4 is the maximum. Remove one to add another.

qwen3-asr-1.7b vs gpt-6-luna vs claude-sonnet-5.5 vs grok-4.7
AttributeQwen3 ASR 1.7Bqwen3-asr-1.7bGPT-6 Lunagpt-6-lunaClaude Sonnet 5.5claude-sonnet-5.5Grok 4.7grok-4.7
Pricing
Input$0 / 1M$0.10 / 1M$2.00 / 1M$1.60 / 1M
Output$0 / 1M$0.50 / 1M$10.00 / 1M$4.80 / 1M
Cache Write (5m)Not applicable$0.10 / 1M$2.50 / 1M$1.60 / 1M
Cache Write (1h)Not applicable$0.10 / 1M$4.00 / 1M$1.60 / 1M
Cache ReadNot applicable$0.10 / 1M$0.20 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1M1M500K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderQwenOpenAIAnthropicSpaceXAI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-08-13———
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.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.Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.