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.

Gemini 3.5 TranscribeGoogle Remove
Qwen3 ASR 1.7BQwen Remove
GPT-6 SolOpenAI Remove
Grok 4.7SpaceXAI Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs qwen3-asr-1.7b vs gpt-6-sol vs grok-4.7
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	Qwen3 ASR 1.7Bqwen3-asr-1.7b	GPT-6 Solgpt-6-sol	Grok 4.7grok-4.7
Pricing
Input	$0 / 1M	$0 / 1M	$2.00 / 1M	$1.60 / 1M
Output	$0 / 1M	$0 / 1M	$10.00 / 1M	$4.80 / 1M
Cache Write (5m)	Not applicable	Not applicable	$2.00 / 1M	$1.60 / 1M
Cache Write (1h)	Not applicable	Not applicable	$2.00 / 1M	$1.60 / 1M
Cache Read	Not applicable	Not applicable	$2.00 / 1M	$1.60 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	N/A	1.1M	500K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	No	No	Yes	Yes
Streaming	No	No	Yes	Yes
Catalogue
Provider	Google	Qwen	OpenAI	SpaceXAI
Category	voice	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	2026-08-13	—	—
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	Qwen3-ASR 1.7B speech-to-text. Billed per second of audio.	GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications	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.