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
Claude Opus 5.5Anthropic Remove
Perceptron Mk1.5Perceptron Remove
Transcribe 1 ProFish Audio Remove

4 is the maximum. Remove one to add another.

grok-4.7 vs claude-opus-5.5 vs perceptron-mk1.5 vs transcribe-1-pro
Attribute	Grok 4.7grok-4.7	Claude Opus 5.5claude-opus-5.5	Perceptron Mk1.5perceptron-mk1.5	Transcribe 1 Protranscribe-1-pro
Pricing
Input	$1.60 / 1M	$4.00 / 1M	$0.15 / 1M	$0 / 1M
Output	$4.80 / 1M	$20.00 / 1M	$1.50 / 1M	$0 / 1M
Cache Write (5m)	$1.60 / 1M	$5.00 / 1M	$0.15 / 1M	Not applicable
Cache Write (1h)	$1.60 / 1M	$8.00 / 1M	$0.15 / 1M	Not applicable
Cache Read	$1.60 / 1M	$0.40 / 1M	$0.15 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	500K	1M	36.9K	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	No
Function Calling	Yes	Yes	No	No
JSON Mode	Yes	Yes	No	No
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	SpaceXAI	Anthropic	Perceptron	Fish Audio
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25	2026-09-24
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.	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <\|speaker:0\|>. Billed per second of audio.