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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 LunaOpenAIRemove
  2. Qwen3 ASR 1.7BQwenRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. Grok 4.7SpaceXAIRemove

4 is the maximum. Remove one to add another.

gpt-6-luna vs qwen3-asr-1.7b vs perceptron-mk1.5 vs grok-4.7
AttributeGPT-6 Lunagpt-6-lunaQwen3 ASR 1.7Bqwen3-asr-1.7bPerceptron Mk1.5perceptron-mk1.5Grok 4.7grok-4.7
Pricing
Input$0.10 / 1M$0 / 1M$0.15 / 1M$1.60 / 1M
Output$0.50 / 1M$0 / 1M$1.50 / 1M$4.80 / 1M
Cache Write (5m)$0.10 / 1MNot applicable$0.15 / 1M$1.60 / 1M
Cache Write (1h)$0.10 / 1MNot applicable$0.15 / 1M$1.60 / 1M
Cache Read$0.10 / 1MNot applicable$0.15 / 1M$1.60 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1MN/A36.9K500K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIQwenPerceptronSpaceXAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-08-132026-09-25—
Description
SummaryGPT-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.Qwen3-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.