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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. Claude Sonnet 5.5AnthropicRemove
  2. Qwen3 ASR 0.6BQwenRemove
  3. Grok 4.7SpaceXAIRemove
  4. Muse Spark 1.3MetaRemove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs qwen3-asr-0.6b vs grok-4.7 vs muse-spark-1.3
AttributeClaude Sonnet 5.5claude-sonnet-5.5Qwen3 ASR 0.6Bqwen3-asr-0.6bGrok 4.7grok-4.7Muse Spark 1.3muse-spark-1.3
Pricing
Input$2.00 / 1M$0 / 1M$1.60 / 1M$1.25 / 1M
Output$10.00 / 1M$0 / 1M$4.80 / 1M$4.25 / 1M
Cache Write (5m)$2.50 / 1MNot applicable$1.60 / 1M$1.25 / 1M
Cache Write (1h)$4.00 / 1MNot applicable$1.60 / 1M$1.25 / 1M
Cache Read$0.20 / 1MNot applicable$1.60 / 1M$1.25 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A500K1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderAnthropicQwenSpaceXAIMeta
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-08-13——
Description
SummaryClaude 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.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.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.Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.