Best LLMs for Structured Data & Fact Extraction
Precise pattern recognition and field-level information retrieval, strict schema adherence.
Precise pattern recognition and field-level information retrieval, strict schema adherence.
Task-by-task breakdown
Profiled Document Structure Extraction
Extracts the ordered section hierarchy of a document using caller-supplied structural conventions and terminology. Illustrative uses include applying known structural conventions to contracts, RFPs, …
| Model | Quality (% of best) | Confidence | Overpay |
|---|---|---|---|
| Claude Haiku 5.5 ★ | 94% | MEDIUM | best value |
| NVIDIA Nemotron-3 Super 120B | 98% | MEDIUM | 2.7x |
| MiniMax M3 | 98% | RANKED | 5.9x |
| Qwen 3.8 Flash | 92% | MEDIUM | 6.6x |
| Gemini 3.8 Flash | 98% | MEDIUM | 9.9x |
| Meta Muse Spark 1.3 best | 100% | HIGH | 27x |
| Moonshot Kimi K3 | 91% | MEDIUM | 67x |
| Tencent Hy4 Preview | 97% | MEDIUM | 73x |
Atomic Fact Claim Extraction
Extracts atomic, self-contained factual claims from supplied source text and optionally assigns each claim to caller-provided analytical categories. Illustrative uses include extracting factual …
| Model | Quality (% of best) | Confidence | Overpay |
|---|---|---|---|
| Xiaomi MiMo V2.6 Pro ★ | 93% | HIGH | best value |
| GPT-6 Luna best | 100% | RANKED | 1.2x |
| Tencent Hy3 | 96% | MEDIUM | 7.4x |
| Qwen 3.8 Flash | 97% | MEDIUM | 11x |
| NVIDIA Nemotron-3 Ultra 550B | 90% | HIGH | 11x |
| Thinking Machines Inkling Small | 95% | MEDIUM | 13x |
| Moonshot Kimi K3 | 99% | MEDIUM | 87x |
Research Region Identification
Selects the geographic regions most relevant to researching a subject from an allowed region set using supplied identity, market, operating, regulatory, and contextual evidence. Illustrative uses …
| Model | Quality (% of best) | Confidence | Overpay |
|---|---|---|---|
| Thinking Machines Inkling Small ★ | 96% | HIGH | best value |
| Thinking Machines Inkling | 95% | HIGH | 2.8x |
| Moonshot Kimi K3 best | 100% | HIGH | 3.5x |
Structured Output Extraction
Extracts structured data from text into a specified JSON schema. Pure shape-conformance — no enrichment, no rephrasing, no summarisation. Used when a downstream consumer needs schema-clean data from …
| Model | Quality (% of best) | Confidence | Overpay |
|---|---|---|---|
| Xiaomi MiMo V2.6 Flash ★ | 98% | HIGH | best value |
| GPT-6 Luna | 92% | HIGH | 2.6x |
| Xiaomi MiMo V2.6 Pro | 97% | HIGH | 3x |
| DeepSeek V4.1 Flash | 93% | MEDIUM | 4.1x |
| MiniMax M3 | 92% | RANKED | 6.1x |
| GPT-6 Sol | 93% | MEDIUM | 32x |
| Qwen 3.7 Plus | 96% | RANKED | 36x |
| Claude Sonnet 5.5 | 99% | RANKED | 46x |
| Claude Opus 5.5 best | 100% | RANKED | 92x |
| Moonshot Kimi K3 | 97% | HIGH | 112x |
| Qwen 3.8 Max | 94% | MEDIUM | 188x |
Confidence — how sure we are about the quality score (more judgments + more agreement = higher confidence): RANKED many independent judges scored this model's outputs and their agreement is very high (most confident) — HIGH many judges have scored it and they mostly agree (well-pinned) — MEDIUM enough judges have weighed in to publish, but they disagree more than we'd like (treat with a small grain of salt). LOW-confidence cells are hidden everywhere on the site. See the methodology for the exact thresholds.