LiveBench Mathematics leaderboard: which LLMs score highest

LiveBench Mathematics (LiveBench release 2026_06_25) currently has scores for 17 models. The top score is 95.9% by GPT-5.5 (xhigh); the median model scores 88.2% and the lowest scores 76.9%.

LiveBench Mathematics leaderboard: top 17 of 17 models (highest-effort row per model)
#ModelOrganisationLiveBench Mathematics scoreCheapest input $/MSourceCaptured
1GPT-5.5 (xhigh)OpenAI95.9%$5.00LiveBench 2026_06_25 official CSV2026-10-05
2claude-opus-4-8-xhigh-effortAnthropic95.3%$5.00LiveBench 2026_06_25 official CSV2026-10-05
3GPT-5.4 (xhigh)OpenAI94.1%$2.50LiveBench 2026_06_25 official CSV2026-10-05
4gpt-5.2-2025-12-11-highOpenAI93.2%$1.75LiveBench 2026_06_25 official CSV2026-10-05
5gemini-3.1-pro-preview-highGoogle91.0%$2.00LiveBench 2026_06_25 official CSV2026-10-05
6GPT-5.4 nano (xhigh)OpenAI91.0%$0.200LiveBench 2026_06_25 official CSV2026-10-05
7claude-opus-4-5-20251101-thinking-64k-high-effortAnthropic90.4%$5.00LiveBench 2026_06_25 official CSV2026-10-05
8GPT-5.2 CodexOpenAI88.8%$1.75LiveBench 2026_06_25 official CSV2026-10-05
9gemini-3.5-flash-highGoogle88.2%$1.50LiveBench 2026_06_25 official CSV2026-10-05
10Qwen3.7 MaxAlibaba85.2%$1.25LiveBench 2026_06_25 official CSV2026-10-05
11kimi-k2.6-thinkingMoonshot AI84.3%$0.650LiveBench 2026_06_25 official CSV2026-10-05
12qwen3.6-plusAlibaba83.7%$0.325LiveBench 2026_06_25 official CSV2026-10-05
13Qwen3.6 27BAlibaba79.9%$0.150LiveBench 2026_06_25 official CSV2026-10-05
14Kimi K2.7 CodeMoonshot79.6%$0.671LiveBench 2026_06_25 official CSV2026-10-05
15GPT-5.4 mini (xhigh)OpenAI78.5%$0.750LiveBench 2026_06_25 official CSV2026-10-05
16grok-build-0.1xAI78.4%$1.00LiveBench 2026_06_25 official CSV2026-10-05
17MiniMax-M3MiniMax76.9%$0.230LiveBench 2026_06_25 official CSV2026-10-05

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Among the ten highest scorers, the cheapest listed API price belongs to GPT-5.4 nano (xhigh) at $0.200 per million input tokens (score 91.0%).

What LiveBench Mathematics measures

LiveBench refreshes its questions regularly from recent material to limit training-data contamination, and scores answers automatically against ground truth. This is its mathematics category.

How to read these scores

Scores are percentages (higher is better): the share of questions or tasks the model completed correctly. Where a model is listed at several reasoning efforts, only its highest-effort row is shown. See the methodology for how rows are chosen.

Where the data comes from

LiveBench 2026_06_25 official CSV. Scores were last captured 2026-10-05; the Captured column gives each row's date.

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