Benchmark profile
Vals TaxEval v2 (TaxEval v2)
A Vals-created set of questions and responses to tax questions
Data verifiedHow BenchLM shows TaxEval v2
BenchLM mirrors the public Vals AI TaxEval v2 leaderboard captured from https://www.vals.ai/benchmarks/tax_eval_v2 and updated by Vals on July 22, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
TaxEval v2 is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
TaxEval v2 score on TaxEval v2 — July 22, 2026
BenchLM mirrors the published taxeval v2 score view for TaxEval v2. Muse Spark 1.1 leads the public snapshot at 79.72% , followed by Muse Spark (77.68%) and Claude Sonnet 4.6 (77.11%). BenchLM does not use these results to rank models overall.
Muse Spark 1.1
Meta
meta/muse_spark_1_1
Muse Spark
Meta
meta/muse_spark
Claude Sonnet 4.6
Anthropic
anthropic/claude-sonnet-4-6
TaxEval v2 score table (132 models)
ScoreThe published TaxEval v2 snapshot places Muse Spark 1.1 first at 79.72%. The third row is 2.62 points behind. The broader top-10 range is 4.01 points, so many of the published results sit in a relatively narrow band.
132 models have been evaluated on TaxEval v2. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. TaxEval v2 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About TaxEval v2
Year
2026
Tasks
Tax question answering and response evaluation
Format
Accuracy score
Difficulty
Professional tax reasoning
BenchLM mirrors the public Vals AI TaxEval v2 leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
TaxEval v2 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does TaxEval v2 measure?
A Vals-created set of questions and responses to tax questions
Which model leads the published TaxEval v2 snapshot?
Muse Spark 1.1 currently leads the published TaxEval v2 snapshot with 79.72% taxeval v2 score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on TaxEval v2?
132 AI models are included in BenchLM's mirrored TaxEval v2 snapshot, based on the public leaderboard captured on July 22, 2026.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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