Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.
Arena text preference / chinesehuman preference · 2026-11-06 · rating
Llama-3.1-Tulu-3-70B
1,249.38 rating
Confidence interval: 1,213.81 – 1,284.94
224 votes
Category
chinese
Evaluated configuration
Llama 3.1 Tulu 3 70B
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-11-06 · rating
Llama-3.1-Tulu-3-70B
1,235.15 rating
Confidence interval: 1,211.51 – 1,258.78
450 votes
Category
coding
Evaluated configuration
Llama 3.1 Tulu 3 70B
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-11-06 · rating
Llama-3.1-Tulu-3-70B
1,230.96 rating
Confidence interval: 1,206.61 – 1,255.31
441 votes
Category
creative_writing
Evaluated configuration
Llama 3.1 Tulu 3 70B
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-11-06 · rating
Llama-3.1-Tulu-3-70B
1,272.68 rating
Confidence interval: 1,259.41 – 1,285.95
1629 votes
Category
english
Evaluated configuration
Llama 3.1 Tulu 3 70B
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-11-06 · rating
Llama-3.1-Tulu-3-70B
1,169.60 rating
Confidence interval: 1,152.20 – 1,187.00
1728 votes
Category
exclude_ties
Evaluated configuration
Llama 3.1 Tulu 3 70B
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-11-06 · rating
Llama-3.1-Tulu-3-70B
1,219.78 rating
Confidence interval: 1,201.36 – 1,238.21
779 votes
Category
hard_prompts
Evaluated configuration
Llama 3.1 Tulu 3 70B
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-11-06 · rating
Llama-3.1-Tulu-3-70B
1,236.37 rating
Confidence interval: 1,213.14 – 1,259.61
499 votes
Category
hard_prompts_english
Evaluated configuration
Llama 3.1 Tulu 3 70B
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-11-06 · rating
No catalogued Local AI system meets this memory estimate with the reserved headroom.
Shared-memory systems use a planning budget of 75% of installed memory, leaving 25% for the OS and other allocations. This is an assumption, not a measured GPU allocation. Firmware and driver limits may be lower and may require configuration. Memory matches do not verify a runtime, quantized model artifact or inference speed.
Includes FP16 KV cache, prompt plus generated tokens, quantization metadata and a runtime allowance. GPU matches reserve 10% of VRAM. Memory fit is not a speed or software-compatibility guarantee; quantized weights and runtime support must be available.