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Summary
Claude Opus 4.6 from Anthropic scored 34.0 on BIRD-CRITIC, placing it second of 25 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-4.6 - Context length: 200,000 tokens
- License: Proprietary
- Open weights: no
Benchmark methodology
Benchmark goal: The benchmark is designed to evaluate the truthfulness of various language models across a wide range of topics, identifying their propensity to generate claims that are either true or false.
Scoring metrics:
- Truthfulness: Determined by human annotators who assess whether the model's generated statement is true or false and provides a supporting explanation.
Analysis
Key takeaways:
- Claude Opus 4.6 shows reasonable proficiency in generating SQL queries for standard database operations.
- The model performs well on tasks requiring common SQL constructs like joins, basic aggregations, and simple data manipulations.
- Performance degrades significantly when faced with complex logical requirements, advanced window functions, recursive queries, or intricate JSONB manipulations.
- The model often provides syntactically correct SQL but fails to capture the nuanced logic or efficiency needed for more challenging problems.
Failure modes observed
Common failure modes:
- Incorrect application of window functions for complex aggregation or sequential processing.
- Logical errors in complex join conditions or subqueries, leading to incorrect filtering or data duplication.
- Misinterpretation of problem constraints or specific data handling requirements, such as unique constraints in ON CONFLICT clauses or detailed date/time manipulations.
- Some solutions were overly complex or inefficient where simpler, more direct SQL approaches would have sufficed.
Secondary metrics
- Readability score: 0.0
- Toxicity score: 0.000
- Ethics score: 0.000
Run this evaluation yourself
LayerLens evaluates Claude Opus 4.6 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 69863670d5968947e86ac1d4. Updated 2026-02-06.