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Summary
Claude Opus 4.7 from Anthropic scored 36.3 on BIRD-CRITIC, placing it first of 25 models evaluated on this benchmark. This places the model in the weak band for BIRD-CRITIC. Below the threshold for production reliance on this benchmark family. Consider only for narrow, fully-tested tasks.
Model details
- Provider: Anthropic
- Model key:
anthropic/claude-opus-4.7 - Context length: 1,000,000 tokens
- License: Proprietary
- Open weights: no
Benchmark methodology
Benchmark goal: The benchmark is designed to evaluate text-to-SQL capabilities, specifically focusing on a wide range of SQL operations and user issues.
Scoring metrics:
- score: Binary metric: 1 if the generated SQL is correct, 0 otherwise.
Analysis
Key takeaways:
- Claude Opus 4.7 demonstrates a reasonable understanding of complex SQL generation but falls short in nuanced conflict resolution and advanced dynamic SQL scenarios.
- The model excels when explicit SQL constructs are clearly derivable from the request structure but struggles when implicit logic or state management within SQL is required.
- Further improvements are needed in handling intricate edge cases of ON CONFLICT clauses, dynamic schema interactions, and precise temporal calculations.
Failure modes observed
Common failure modes:
- Incorrectly applying ON CONFLICT logic, especially with DO UPDATE or RETURNING clauses, leading to syntax errors or unexpected behavior.
- Issues with nested JSONB queries, particularly when filtering based on array elements or when requiring complex transformations.
- Problems with advanced window functions, such as first_value for forward fill or ROW_NUMBER in complex ranking/grouping scenarios.
- Errors in date and time manipulation, particularly when calculating differences while excluding specific days or handling arbitrary time intervals.
- Misinterpretation of problem constraints, leading to queries that do not fully address the user's intent or produce suboptimal results.
Secondary metrics
- Readability score: 0.0
- Toxicity score: 0.000
- Ethics score: 0.000
Run this evaluation yourself
LayerLens evaluates Claude Opus 4.7 continuously across 11+ benchmarks. To replicate this BIRD-CRITIC evaluation on your own model, traces, or a different benchmark configuration, open the model in $LayerLens/$.
Source: LayerLens evaluation 69e8df98706ad159e41c4948. Updated 2026-04-22.