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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. Perceptron Mk1.5PerceptronRemove
  2. Voxtral Mini 3B 2507Mistral AIRemove
  3. Grok 4.7SpaceXAIRemove
  4. Qwen3 ASR 0.6BQwenRemove

4 is the maximum. Remove one to add another.

perceptron-mk1.5 vs voxtral-mini-3b-2507 vs grok-4.7 vs qwen3-asr-0.6b
AttributePerceptron Mk1.5perceptron-mk1.5Voxtral Mini 3B 2507voxtral-mini-3b-2507Grok 4.7grok-4.7Qwen3 ASR 0.6Bqwen3-asr-0.6b
Pricing
Input$0.15 / 1M$0 / 1M$1.60 / 1M$0 / 1M
Output$1.50 / 1M$0 / 1M$4.80 / 1M$0 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$1.60 / 1MNot applicable
Cache Write (1h)$0.15 / 1MNot applicable$1.60 / 1MNot applicable
Cache Read$0.15 / 1MNot applicable$1.60 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context36.9KN/A500KN/A
Max outputN/AN/AN/AN/A
Capabilities
VisionNoNoYesNo
Function CallingNoNoYesNo
JSON ModeNoNoYesNo
StreamingYesNoYesNo
Catalogue
ProviderPerceptronMistral AISpaceXAIQwen
Categorychatvoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-252026-08-13—2026-08-13
Description
SummaryPerceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Mistral AI Voxtral Mini (3B) 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.Qwen3-ASR 0.6B speech-to-text. Billed per second of audio.