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 · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,221.85 rating
Confidence interval: 1,197.55 – 1,246.15
528 votes
Category
chinese
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,275.35 rating
Confidence interval: 1,257.21 – 1,293.49
873 votes
Category
coding
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,173.60 rating
Confidence interval: 1,154.54 – 1,192.67
836 votes
Category
creative_writing
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,247.89 rating
Confidence interval: 1,236.77 – 1,259.01
2652 votes
Category
english
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,126.05 rating
Confidence interval: 1,112.79 – 1,139.30
3370 votes
Category
exclude_ties
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,220.35 rating
Confidence interval: 1,187.77 – 1,252.92
267 votes
Category
expert
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,251.14 rating
Confidence interval: 1,236.85 – 1,265.44
1386 votes
Category
hard_prompts
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating
Qwen2.5-Coder-32B-Instruct
1,269.20 rating
Confidence interval: 1,249.86 – 1,288.54
759 votes
Category
hard_prompts_english
Evaluated configuration
Qwen2.5-Coder-32B-Instruct
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · 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. Cache uses a conservative full-attention upper bound.
API cost
USD / month
Standard text-token estimate. Excludes taxes, caching, batch discounts, reasoning and multimodal surcharges. Provider limits and regional availability may differ.