Benchmark Results

Business Letters

Tests models on extracting structured metadata from historical correspondence, including person names, organizations, dates, locations, and other contextual information from 20th century Swiss historical letters.

Dataset Description Result Overview Test Runs

This benchmark has been run 382 times. It uses f1_macro metric.

Tested providers: mistral, openai, openrouter, x-ai, alibaba, genai, scicore, anthropic

Tested models: ministral-14b-2512, qwen3.5-397b-a17b, gemini-2.0-pro-exp-02-05, pixtral-large-2411, claude-opus-4-5-20251101, o3, gpt-4.1-mini, claude-sonnet-4-6, x-ai/grok-4, magistral-small-2509, qwen/qwen3-vl-8b-thinking, qwen3.5-35b-a3b, qwen/qwen3-vl-8b-instruct, qwen/qwen3-vl-30b-a3b-instruct, gemini-1.5-pro, pixtral-12b, gemini-2.5-pro-exp-03-25, gemini-2.0-flash, claude-opus-4-1-20250805, qwen3.5-flash-2026-02-23, gemini-2.5-flash, gpt-5, magistral-medium-2509, gpt-5-mini, gemini-3.1-flash-lite-preview, gemini-1.5-flash, ministral-8b-2512, gemini-3-flash-preview, claude-3-opus-20240229, gemini-2.5-flash-preview-09-2025, mistral-small-2506, gpt-4.1, gpt-4o-mini, grok-4.20-0309-reasoning, claude-3-5-sonnet-20241022, gpt-4.5-preview, claude-opus-4-20250514, gemini-2.5-pro, GLM-4.5V-FP8, mistral-large-2512, gpt-5.3-codex, claude-sonnet-4-20250514, qwen3.5-plus-2026-02-15, qwen3.5-27b, claude-3-7-sonnet-20250219, qwen3.5-122b-a10b, gpt-4o, gemini-3.1-pro-preview, gpt-4.1-nano, meta-llama/llama-4-maverick, gemini-exp-1206, gemini-2.5-flash-lite, gpt-5-nano, gemini-2.5-flash-lite-preview-09-2025, claude-haiku-4-5-20251001, mistral-medium-2505, gemini-3-pro-preview, mistral-large-2411, gpt-5.2-2025-12-11, gpt-5.4-2026-03-05, mistral-medium-2508, claude-opus-4-6, gemini-2.0-flash-lite, gpt-5.1-2025-11-13, claude-sonnet-4-5-20250929

• Type(s): letter
• Benchmark task(s):  information-extraction
• Writing: typed, handwritten
• Source creation (century): 20
• Source Layout: prose
• Language(s): de