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Benchmark

Jamba 1.7 Large

  • AI21 Labs
  • Veröffentlichung · 7. Juli 2025
  • Offene Gewichte
  • Ohne Reasoning

Intelligenz

Intelligence Index

#229 von 266
  1. 6,36,3EXAONE 4.0 32B (Non-reasoning)
  2. 6,36,3Celeris-1
  3. 6,36,3Phi-4 Mini Instruct
  4. 6,26,2Qwen3.5 2B (Non-reasoning)
  5. 6,16,1DeepHermes 3 - Mistral 24B Preview (Non-reasoning)
  6. 6,16,1Jamba 1.7 Large
  7. 6,16,1Qwen3.5 0.8B (Reasoning)
  8. 66Ministral 3 14B
  9. 66Qwen3 Omni 30B A3B Instruct
  10. 66Granite 4.0 H Small
Daten von Artificial Analysis

Bewertungen

  • AA-Omniscience Accuracy20,6%#113
  • Humanity's Last Exam3,7%#255
  • AA-LCR19,3%#197
  • CritPt0%#143
  • GPQA Diamond39%#188
  • IFBench35,2%#105
  • τ²-Bench Telecom13,5%#129
  • Terminal-Bench Hard2,3%#100
Jamba 1.7 LargeMedian
Daten von Artificial Analysis

Ähnliche Modelle

  • EXAONE 4.0 32B (Non-reasoning)LG AI Research6,3
  • Celeris-1Celeris6,3
  • Phi-4 Mini InstructMicrosoft6,3
  • Qwen3.5 2B (Non-reasoning)Alibaba6,2
  • DeepHermes 3 - Mistral 24B Preview (Non-reasoning)Nous Research6,1
  • Qwen3.5 0.8B (Reasoning)Alibaba6,1
  • Ministral 3 14BMistral6
  • Qwen3 Omni 30B A3B InstructAlibaba6
Daten von Artificial Analysis

Gleiches Labor

  • Jamba Reasoning 3BAI21 Labs5,7
  • Jamba 1.7 MiniAI21 Labs5,2
Daten von Artificial Analysis
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