Vals TaxEval v2 (TaxEval v2)
We show this table for reference; we do not rank on it.
A Vals-created set of questions and responses to tax questions
TaxEval v2 score on TaxEval v2 — September 1, 2026
We mirror the published taxeval v2 score view for TaxEval v2. Muse Spark 1.2 leads the public snapshot at 80.38%, followed by Muse Spark 1.1 (79.72%) and Muse Spark (77.68%). We do not use these results to rank models overall.
Muse Spark 1.2
Meta
xhigh reasoning
Muse Spark 1.1
Meta
xhigh reasoning
Muse Spark
Meta
145 modelsAgenticCurrentDisplay onlyUpdated September 1, 2026
TaxEval v2 score table (145 models)
ScoreHow TaxEval v2 is shown here
BenchLM mirrors the public Vals AI TaxEval v2 leaderboard captured from https://www.vals.ai/benchmarks/tax_eval_v2 and updated by Vals on September 1, 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.
Snapshot
The published TaxEval v2 snapshot places Muse Spark 1.2 first at 80.38%. The third row is 2.70 points behind. The broader top-10 range is 4.50 points, so many of the published results sit in a relatively narrow band.
145 models have been evaluated on TaxEval v2. The benchmark falls in the Agentic 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.
Freshness and 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.
Questions
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 1.2 currently leads the published TaxEval v2 snapshot with 80.38% 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?
The September 1, 2026 snapshot contains 145 AI models.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
Read a sample issueJoin 2,000+ readers.
One email each week. Unsubscribe anytime.