DeepSeek V4 Flash on BIRD-CRITIC: 32.7% accuracy

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The LayerLens Team

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Summary

DeepSeek V4 Flash from DeepSeek scored 32.7 on BIRD-CRITIC, placing it top 10 (rank 4 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: DeepSeek

  • Model key: deepseek/deepseek-v4-flash

  • Context length: 1,048,576 tokens

  • License: MIT

  • Open weights: yes

Benchmark methodology

Benchmark goal: BIRD-CRITIC is designed to evaluate the performance of models in text-to-SQL tasks, specifically focusing on a comprehensive range of SQL operations and addressing user issues in multi-turn interactions.

Analysis

Key takeaways:

  • DeepSeek V4 Flash demonstrates a solid foundation in generating standard SQL queries for common data manipulation and retrieval tasks.

  • The model struggles significantly with tasks involving complex temporal logic, advanced window functions, and intricate set-based operations.

  • Performance is notably weaker in scenarios requiring dynamic schema interaction or precise control over unique constraints and triggers.

  • While capable of basic array and JSONB operations, advanced transformations within these structures often result in errors.

Failure modes observed

Common failure modes:

  • Incorrect window function usage: Many errors stem from misapplying ROW_NUMBER(), LAG(), LEAD(), or custom aggregates within complex partitioning schemes.

  • Temporal logic errors: Miscalculations or incorrect filtering when dealing with dates and times.

  • JSON/JSONB manipulation issues: Errors arise in handling complex nested JSONB structures.

  • Constraint and trigger logic: Functions and triggers often fail due to unique constraint violations.

  • Subquery and CTE inefficiencies: Using subqueries or CTEs in ways that lead to incorrect results.

Secondary metrics

  • Readability score: 0.0

  • Toxicity score: 0.000

  • Ethics score: 0.000

Run this evaluation yourself

Stratix evaluates DeepSeek V4 Flash continuously across 11+ benchmarks. To replicate this BIRD-CRITIC evaluation on your own model, traces, or a different benchmark configuration, open the model in Stratix.

Source: Stratix evaluation 69efc9abd05530877e5d4eeb. Updated 2026-04-27.