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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. GPT-6 AstraOpenAIRemove
  2. Perceptron Mk1.5PerceptronRemove
  3. Qwen3 ASR 0.6BQwenRemove
  4. Grok 4.7SpaceXAIRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs perceptron-mk1.5 vs qwen3-asr-0.6b vs grok-4.7
AttributeGPT-6 Astragpt-6-astraPerceptron Mk1.5perceptron-mk1.5Qwen3 ASR 0.6Bqwen3-asr-0.6bGrok 4.7grok-4.7
Pricing
Input$10.00 / 1M$0.15 / 1M$0 / 1M$1.60 / 1M
Output$50.00 / 1M$1.50 / 1M$0 / 1M$4.80 / 1M
Cache Write (5m)$10.00 / 1M$0.15 / 1MNot applicable$1.60 / 1M
Cache Write (1h)$10.00 / 1M$0.15 / 1MNot applicable$1.60 / 1M
Cache Read$10.00 / 1M$0.15 / 1MNot applicable$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M36.9KN/A500K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesYesNoYes
Catalogue
ProviderOpenAIPerceptronQwenSpaceXAI
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-252026-08-13—
Description
SummaryGPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.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.