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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. Perceptron Mk1.5PerceptronRemove
  3. Grok 4.7SpaceXAIRemove
qwen3-asr-1.7b vs perceptron-mk1.5 vs grok-4.7
AttributeQwen3 ASR 1.7Bqwen3-asr-1.7bPerceptron Mk1.5perceptron-mk1.5Grok 4.7grok-4.7
Pricing
Input$0 / 1M$0.15 / 1M$1.60 / 1M
Output$0 / 1M$1.50 / 1M$4.80 / 1M
Cache Write (5m)Not applicable$0.15 / 1M$1.60 / 1M
Cache Write (1h)Not applicable$0.15 / 1M$1.60 / 1M
Cache ReadNot applicable$0.15 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A36.9K500K
Max outputN/AN/AN/A
Capabilities
VisionNoNoYes
Function CallingNoNoYes
JSON ModeNoNoYes
StreamingNoYesYes
Catalogue
ProviderQwenPerceptronSpaceXAI
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-08-132026-09-25—
Description
SummaryQwen3-ASR 1.7B speech-to-text. Billed per second of audio.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.