Research — quarterly reports
Q1-Q4 research reports — model performance, benchmark winners, AI evaluation trends.
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Q1-Q4 research reports — model performance, benchmark winners, AI evaluation trends.
LayerLens publishes quarterly research reports that synthesize the platform's evaluation data into a public-facing read. Each report covers what's changed at the model frontier, what benchmarks revealed about specific capabilities, and where AI evaluation is heading.
Each quarterly report includes:
Frontier model performance summary. Which models advanced. Which plateaued. Where open-weight is closing the gap.
Benchmark deep-dives. Two or three benchmarks of focus per quarter, with score deltas and surprising results.
Capability spotlights. Reasoning, coding, agent tool-use, multilingual, multimodal — pick one or two and look at them through the leaderboard.
Methodology notes. What changed in the platform's evaluation methodology this quarter, and why the change.
Trend forecasts. Where the data suggests evaluation is heading next.
Four quarterly reports were published in 2025, available on the public site:
Q1 2025 — frontier-model state at the top of the year
Q2 2025 — mid-year update
Q3 2025 — third-quarter snapshot
Q4 2025 — annual review
Index: layerlens.ai/research.
Choosing a model? Read the most recent report's frontier summary, then jump into the Compare models feature with the candidates you're left with.
Building a business case? Use the report's data to anchor "the model frontier moves quarterly — your evaluation pipeline should too."
Researching a benchmark? Find the quarter that highlighted that benchmark; the report's methodology notes are the most rigorous public discussion you'll find.
The reports draw on the public catalog: 175+ models scored against 52+ benchmarks, refreshed continuously. Public evaluations on stratix.layerlens.ai are the underlying sample frame; the report adds analysis and narrative.
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