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NuMindOpen weights model8.3B parameters

NuExtract 2.0 8B benchmarks

All models
  • General rank
    Too few tasks4 non-coding tasks ranked5 needed for a rank
  • Cost
    Self-hostedMid GPU, ~19.9 GBNo hosted price
  • LangWatch policy#10 / 42 tied
    44.0%Best task · PII left invs PII detectors

Comparison summary

Strongest
Safety and guardrails
Leads 0 of 4 (0%)

A language model (LLM): it reads a prompt and writes text back, so the prompt sets the task. Strongest at safety.

Specifications

Lab
NuMind
Weights
Open weights
Parameters
8.3B
Licence
MIT
Type
large LLM

Safety and guardrails

Share of tasks led · #26 of 46

  1. Gemma 4 31BLeads 3 of 4
  2. Perplexity PII TracerLeads 2 of 4
  3. Amazon ComprehendLeads 1 of 4
  4. Qwen3.8 27BLeads 1 of 5
  5. Gemma 4 12BLeads 0 of 4
  6. Ministral 3 14BLeads 0 of 5
  7. Gemma 4 26B A4BLeads 0 of 4
  8. NuExtract 2.0 8B
    Leads 0 of 4
See the 5 tasks

Traces

Tier 11 of 19#28 / 46

PII left in, % · Lower is better

  1. Amazon Comprehend10.6, interval 9.4 to 11.9, ahead alone
  2. GLiNER Multi PII v115.3, interval 13.2 to 17.3, tier 2
  3. NVIDIA GLiNER PII19.7, interval 17.4 to 22.0, tier 3
  4. Gemma 4 26B A4B19.8, interval 15.8 to 24.2, tier 3
  5. Qwen3.8 27B20.3, interval 16.5 to 24.3, tier 3
  6. GLiNER2 Large20.4, interval 18.0 to 22.8, tier 3
  7. Gemma 4 12B23.3, interval 19.0 to 27.6, tier 3
  8. NuExtract 2.0 8B
    66.6, interval 63.1 to 70.1, tier 11
Tested against 52 PII detectors

Business

Tier 10 of 18#27 / 46

PII left in, % · Lower is better

  1. Perplexity PII Tracer2.1, interval 1.2 to 3.0, tied for the lead
  2. Qwen3.8 27B2.4, interval 1.7 to 3.3, tied for the lead
  3. Gemma 4 31B2.9, interval 1.9 to 4.0, tied for the lead
  4. GLiNER Multi PII v14.1, interval 3.1 to 5.3, tier 2
  5. Ministral 3 14B5.4, interval 4.0 to 6.9, tier 2
  6. Gemma 4 12B5.8, interval 4.4 to 7.3, tier 3
  7. Amazon Comprehend5.9, interval 4.6 to 7.2, tier 3
  8. NuExtract 2.0 8B
    45.7, interval 41.9 to 49.3, tier 10
Tested against 53 PII detectors

Multilingual

Tier 13 of 25#21 / 43

PII left in, % · Lower is better

  1. Perplexity PII Tracer2.9, interval 2.5 to 3.4, ahead alone
  2. Qwen3.8 27B4.2, interval 3.7 to 4.8, tier 2
  3. Gemma 4 31B4.5, interval 3.9 to 5.1, tier 2
  4. GLiNER Multi PII v15.7, interval 5.2 to 6.3, tier 3
  5. bardsai EU PII Multilang6.9, interval 6.3 to 7.5, tier 4
  6. Qwen3.6 35B A3B7.7, interval 7.0 to 8.4, tier 4
  7. Gemma 4 12B8.9, interval 8.1 to 9.7, tier 5
  8. NuExtract 2.0 8B
    39.0, interval 37.3 to 40.5, tier 13
Tested against 53 PII detectors

Look-alikes

Not ranked

Look-alikes redacted, % · Lower is better

  1. Gemma 4 31B3.5, interval 2.1 to 5.1, ahead alone
  2. Qwen3.8 27B10.3, interval 7.9 to 12.9, tier 2
  3. NuExtract 2.0 8B
    10.4, interval 7.7 to 13.2, not ranked
  4. NuExtract 319.8, interval 15.9 to 23.6, tier 3
  5. Qwen3.5 9B20.5, interval 16.8 to 24.3, tier 3
  6. Ministral 3 14B30.5, interval 26.5 to 34.8, tier 4
  7. NVIDIA GLiNER PII42.0, interval 38.2 to 46.1, tier 5
  8. Gemma 3 4B IT45.0, interval 41.0 to 49.0, tier 5
Tested against 53 PII detectors

LangWatch policy

Tier 6 of 13#10 / 42

PII left in, % · Lower is better

  1. Gemma 4 31B6.9, interval 2.8 to 11.3, ahead alone
  2. Ministral 3 14B10.2, interval 5.8 to 15.4, tier 2
  3. Gemma 4 12B16.5, interval 10.3 to 23.2, tier 3
  4. Qwen3.8 27B16.7, interval 9.8 to 25.0, tier 3
  5. Gemma 4 26B A4B20.5, interval 13.3 to 28.8, tier 4
  6. Qwen3.5 9B21.5, interval 13.4 to 30.6, tier 4
  7. Gemma 3 4B IT22.4, interval 14.3 to 32.1, tier 4
  8. NuExtract 2.0 8B
    44.0, interval 31.9 to 56.3, tier 6
Tested against 57 PII detectors

Cost

Self-hosted · GPU memory needed, among large LLMs · lower is better

  1. Ministral 3 14B~19 GB
  2. NuExtract 2.0 8B
    ~19.9 GB
  3. Granite 4.2 8B~21.1 GB
  4. Qwen3.5 9B~23.2 GB
  5. Gemma 4 12B~28.7 GB
  6. Qwen3.6 35B A3B~45 GB
  7. Gemma 4 26B A4B~61.9 GB
  8. Qwen3.8 27B~66.7 GB
How we count

A model leads a task when it is in the task's leading tie tier. Each task counts inside its own benchmark, against that benchmark's models; no score is averaged. An area chart shows the models ranked on at least 2 of the area's tasks in a benchmark this model is in too. The overall standing counts every non-coding tasks and needs 5 for a rank. Latency is compared only on one hardware tier.

NuExtract 2.0 8BOther modelsWhisker: 95% interval