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.

Claude Opus 5.5Anthropic Remove
Transcribe 1 ProFish Audio Remove
Gemini 3.5 TranscribeGoogle Remove
Grok 4.7SpaceXAI Remove

4 is the maximum. Remove one to add another.

claude-opus-5.5 vs transcribe-1-pro vs gemini-3.5-transcribe vs grok-4.7
Attribute	Claude Opus 5.5claude-opus-5.5	Transcribe 1 Protranscribe-1-pro	Gemini 3.5 Transcribegemini-3.5-transcribe	Grok 4.7grok-4.7
Pricing
Input	$4.00 / 1M	$0 / 1M	$0 / 1M	$1.60 / 1M
Output	$20.00 / 1M	$0 / 1M	$0 / 1M	$4.80 / 1M
Cache Write (5m)	$5.00 / 1M	Not applicable	Not applicable	$1.60 / 1M
Cache Write (1h)	$8.00 / 1M	Not applicable	Not applicable	$1.60 / 1M
Cache Read	$0.40 / 1M	Not applicable	Not applicable	$1.60 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	98.3K	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	Yes	No	No	Yes
Streaming	Yes	No	No	Yes
Catalogue
Provider	Anthropic	Fish Audio	Google	SpaceXAI
Category	chat	voice	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-24	2026-09-25	—
Description
Summary	Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output 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.