Claude Opus 5.5
- Context
- 1,000,000
- Max output
- 128,000
- Input / MTok
- $4.00
- Cached / MTok
- $0.20
- Output / MTok
- $20.00
- Input types
- text + image
AGENTIC KNOWLEDGE WORK / VERIFIED 2026-10-04
Compare Anthropic and xAI on verified context, output policy, reasoning controls, cache economics and Standard token rates.
LIVE VERIFIED FACTS
DECISION FACTORS
Claude Opus 5.5 publishes the larger context window: 1,000,000 vs 500,000 tokens (2.0×).
Both list image, text as input types.
For 100K uncached input + 10K output tokens, Grok 4.7 is lower at $0.26 vs $0.6 (2.3× difference).
Claude Opus 5.5: 128,000. Grok 4.7: No separate limit.
HOW TO DECIDE
Context, modalities and direct token economics are comparable from official sources. Coding quality, latency, reliability and agent success should be measured on your own acceptance tests before production routing.
Use representative prompts, files, tools and expected outputs from the workload you plan to ship.
Include retries, cached tokens, long-context rules and tool charges—not only headline input price.
Record hallucinations, tool errors, timeout behavior and human corrections alongside pass rate.
A portfolio can outperform a one-model policy when different task classes have different cost and capability needs.
INDEPENDENT EVALUATIONS
Claude Opus 5.5: 58 · Grok 4.7: 46
Group: artificial-analysis-v4.3.2A higher score is meaningful only within the exact comparable group shown. Under-review benchmarks are never used alone for a quality conclusion.
WHAT CHANGED
No post-baseline factual changes recorded for Claude Opus 5.5, Grok 4.7 since 2026-09-27.
QUICK ANSWERS
Claude Opus 5.5 publishes the larger context window: 1,000,000 vs 500,000 tokens (2.0×).
For 100K uncached input + 10K output tokens, Grok 4.7 is lower at $0.26 vs $0.6 (2.3× difference).
No. This page compares source-backed specifications and economics. Quality, latency and task success require workload-specific evaluation evidence.