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.

Grok 4.7SpaceXAI Remove
Qwen3 ASR 0.6BQwen Remove
GPT-6 LunaOpenAI Remove
Gemini 3.5 TranscribeGoogle Remove

4 is the maximum. Remove one to add another.

grok-4.7 vs qwen3-asr-0.6b vs gpt-6-luna vs gemini-3.5-transcribe
Attribute	Grok 4.7grok-4.7	Qwen3 ASR 0.6Bqwen3-asr-0.6b	GPT-6 Lunagpt-6-luna	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$1.60 / 1M	$0 / 1M	$0.10 / 1M	$0 / 1M
Output	$4.80 / 1M	$0 / 1M	$0.50 / 1M	$0 / 1M
Cache Write (5m)	$1.60 / 1M	Not applicable	$0.10 / 1M	Not applicable
Cache Write (1h)	$1.60 / 1M	Not applicable	$0.10 / 1M	Not applicable
Cache Read	$1.60 / 1M	Not applicable	$0.10 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	500K	N/A	1.1M	98.3K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	Yes	No	Yes	No
Streaming	Yes	No	Yes	No
Catalogue
Provider	SpaceXAI	Qwen	OpenAI	Google
Category	chat	voice	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-08-13	—	2026-09-25
Description
Summary	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.	GPT-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.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.