Claude Opus 4.7
According to BenchLM.ai, Claude Opus 4.7 ranks #4 out of 109 models on the provisional leaderboard with an overall score of 93/100. It also ranks #2 out of 13 on the verified leaderboard. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from leading AI labs.
Claude Opus 4.7 is a proprietary model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
BenchLM links it directly to Claude Opus 4.6 as the earlier related model in that lineage. This profile currently has 13 of 152 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Knowledge (#1), while its weakest is Agentic (#5). This performance profile makes it particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Ranking Distribution
Category rank across 3 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#5Coding
#3Reasoning
Knowledge
#1Math
Multilingual
Multimodal
Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Claude Opus 4.7 stacks up against similar models
Frequently Asked Questions
How does Claude Opus 4.7 perform overall in AI benchmarks?
Claude Opus 4.7 currently ranks #4 out of 109 models on BenchLM's provisional leaderboard with an overall score of 93. It also ranks #2 out of 13 on the verified leaderboard. It is created by Anthropic and features a 1M context window.
Is Claude Opus 4.7 good for knowledge and understanding?
Claude Opus 4.7 ranks #1 out of 109 models in knowledge and understanding benchmarks with an average score of 98.6. It is among the top performers in this category.
Is Claude Opus 4.7 good for coding and programming?
Claude Opus 4.7 ranks #3 out of 109 models in coding and programming benchmarks with an average score of 92.6. It is among the top performers in this category.
Is Claude Opus 4.7 good for agentic tool use and computer tasks?
Claude Opus 4.7 ranks #5 out of 109 models in agentic tool use and computer tasks benchmarks with an average score of 90. It is among the top performers in this category.
Is Claude Opus 4.7 good for multimodal and grounded tasks?
Claude Opus 4.7 has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Does Claude Opus 4.7 have full benchmark coverage on BenchLM?
Not yet. Claude Opus 4.7 currently has 13 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Claude Opus 4.7?
Claude Opus 4.7 has a context window of 1M, which determines how much text it can process in a single interaction.
Related Resources
Don't miss the next GPT moment
Which models moved up, what’s new, and what it costs. One email a week, 3-min read.
Free. One email per week.