LiveBench Coding leaderboard: which LLMs score highest

LiveBench Coding (LiveBench release 2026_06_25) currently has scores for 17 models. The top score is 83.6% by GPT-5.2 Codex; the median model scores 76.5% and the lowest scores 65.4%.

LiveBench Coding leaderboard: top 17 of 17 models (highest-effort row per model)
#ModelOrganisationLiveBench Coding scoreCheapest input $/MSourceCaptured
1GPT-5.2 CodexOpenAI83.6%$1.75LiveBench 2026_06_25 official CSV2026-10-05
2GPT-5.5 (xhigh)OpenAI82.1%$5.00LiveBench 2026_06_25 official CSV2026-10-05
3claude-opus-4-5-20251101-thinking-64k-high-effortAnthropic79.7%$5.00LiveBench 2026_06_25 official CSV2026-10-05
4claude-opus-4-8-xhigh-effortAnthropic79.3%$5.00LiveBench 2026_06_25 official CSV2026-10-05
5kimi-k2.6-thinkingMoonshot AI78.6%$0.650LiveBench 2026_06_25 official CSV2026-10-05
6gemini-3.5-flash-highGoogle78.2%$1.50LiveBench 2026_06_25 official CSV2026-10-05
7qwen3.6-plusAlibaba78.2%$0.325LiveBench 2026_06_25 official CSV2026-10-05
8GPT-5.4 (xhigh)OpenAI77.5%$2.50LiveBench 2026_06_25 official CSV2026-10-05
9gemini-3.1-pro-preview-highGoogle76.5%$2.00LiveBench 2026_06_25 official CSV2026-10-05
10gpt-5.2-2025-12-11-highOpenAI76.1%$1.75LiveBench 2026_06_25 official CSV2026-10-05
11Qwen3.7 MaxAlibaba74.2%$1.25LiveBench 2026_06_25 official CSV2026-10-05
12Kimi K2.7 CodeMoonshot74.0%$0.671LiveBench 2026_06_25 official CSV2026-10-05
13Qwen3.6 27BAlibaba71.8%$0.150LiveBench 2026_06_25 official CSV2026-10-05
14GPT-5.4 mini (xhigh)OpenAI71.6%$0.750LiveBench 2026_06_25 official CSV2026-10-05
15GPT-5.4 nano (xhigh)OpenAI70.8%$0.200LiveBench 2026_06_25 official CSV2026-10-05
16MiniMax-M3MiniMax68.2%$0.230LiveBench 2026_06_25 official CSV2026-10-05
17grok-build-0.1xAI65.4%$1.00LiveBench 2026_06_25 official CSV2026-10-05

Compare all benchmarks side by side on the live leaderboard →

Among the ten highest scorers, the cheapest listed API price belongs to qwen3.6-plus at $0.325 per million input tokens (score 78.2%).

What LiveBench Coding measures

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