C
Evidence Grade C
Use with Hedging
Aging
95
95 — benchmark score for GPT-4 model (2024)
Source:
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Curated by Aaron Agius
· Founder, Louder Online
Last verified:
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Source verified
Evidence graded
Value
95
Unit
Score
Data Vintage
2024
Entity
Study Type
Unknown
Trend
Stable
Evidence Quality
C
Moderate quality evidence
Useful directional data with some methodological gaps. Treat as indicative rather than definitive — corroborate before citing in formal research.
Sources (2)
latimesnow.com
Primary
Tier A
https://latimesnow.com/2024/04/11/mistral-launches-8x22b-mixture-of-experts-ai-model-in-open-source-… ↗
Source Article
Mistral released its latest artificial intelligence (AI) model, 8X22B, on Wednesday. The mixture-of-expert AI model follows the 8X7B model released in December 2023 and offers a larger parameter size. The company known for its fully open-source AI models released the latest model unconventionally, w…
Also cited by
Huxiu (虎嗅) / Quantum Bit (量子位)
https://www.huxiu.com/article/823162.html
2026-05-03
Original Research
Mistral
· Original study ↗
Methodology
Benchmark scores based on community testing on Hugging Face.
Study: Unknown
Cite this stat
Suggested hedging: based on claims without stated methodology, with unverified sample sizes...
Plain Text
GPT-4 model: 95 benchmark score. Source: latimesnow.com (2024). Via Lighthouse Research Data — https://lighthousedata.io/data/gpt-4-hellaswag-benchmark-score
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<blockquote cite="https://lighthousedata.io/data/gpt-4-hellaswag-benchmark-score" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>95</strong> — benchmark score for GPT-4 model<br><small>Source: latimesnow.com (2024) · <a href="https://lighthousedata.io/data/gpt-4-hellaswag-benchmark-score" target="_blank" rel="noopener">Lighthouse Data</a></small></blockquote>
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