Contamination MapText / LLM / Dataset
LiveCodeBench (code generation, release_v6)
Continuously updated code-generation benchmark of problems from LeetCode, AtCoder and Codeforces contests, each tagged with its release date. This entry uses the code_generation_lite release_v6: problems released between May 2023 and Apr 2025, 1,055 problems (release_v1: May 2023-Mar 2024, 400 problems; v5: May 2023-Jan 2025, 880). Model reports usually evaluate only a date window (e.g. problems after a model's cutoff), so the effective test set varies by report.
- Also known as
- LiveCodeBench, LCB
- Domain
- code
- License
- HF card says 'cc' (variant unspecified); code MIT
- Test items from
- 2023-05-01
Evidence
“`release_v6`: The updated release of the dataset with problems released between May 2023 and Apr 2025 containing 1055 problems.”
raw.githubusercontent.com · readme · Dataset Versions · retrieved 2026-10-15 “`release_v1`: The initial release of the dataset with problems released between May 2023 and Mar 2024 containing 400 problems.”
raw.githubusercontent.com · readme · Dataset Versions · retrieved 2026-10-15 - Homepage
- github.com
Exposure by model
| Benchmark | Model | Level | Reason |
|---|---|---|---|
| Recent LLM benchmarks | LLM360 Amber | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | BLOOM | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude 3.5 Sonnet | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude 3.7 Sonnet | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude 3 (Opus, Sonnet, Haiku) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude Opus 4 and Claude Sonnet 4 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude Fable 5 / Claude Mythos 5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude Mythos Preview | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude Opus 4.5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude Opus 5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Claude Sonnet 5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DCLM-7B-IT (DCLM-IT-7B) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DCLM-7B (DCLM-Baseline-7B) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-R1-0528 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-R1-Distill | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-R1 | Not seen | the authors state its test portion was excluded from training |
| Recent LLM benchmarks | DeepSeek-V3-0324 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-V3.1 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-V3.2-Exp | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-V3.2 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-V3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-V4.1-Flash | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | DeepSeek-V4 (Pro / Flash) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemini 1.5 (Pro, Flash) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemini 2.5 (Pro, Flash) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemini 3 Pro | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemini 4 Argon | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemma 2 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemma 3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemma 3n | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Gemma 4 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | GPT-4 | Not seen | its test items were published from 2023-05-01, after the model's stated training-data cutoff (2021-09-01) |
| Recent LLM benchmarks | GPT-4o | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | GPT-5.2 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | GPT-5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | GPT-6 Astra | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | gpt-oss | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | InternVL3.5 | Unknown | unknown for its base model Qwen3: training data not disclosed in enough detail |
| Recent LLM benchmarks | InternVL3 | Unknown | unknown for its base model Qwen2.5: training data not disclosed in enough detail |
| Recent LLM benchmarks | LLM360 K2-65B (K2 Diamond) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | K2-Horizon | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | K2-V2 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Llama 2 | Not seen | its test items were published from 2023-05-01, after the model's stated training-data cutoff (2022-09-01) |
| Recent LLM benchmarks | Llama 3.1 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Llama 3.2-Vision (11B, 90B) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Llama 3.2 (1B, 3B) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Llama 3.3 70B | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Meta Llama 3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Llama 4 (Scout, Maverick) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | LLaVA-OneVision-1.5 | Unknown | unknown for its base model Qwen3: training data not disclosed in enough detail |
| Recent LLM benchmarks | LLaVA-OneVision | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Ministral 3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Mistral 7B | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Mistral Large 3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Mistral Medium 3.5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Mistral Small 4 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Mixtral 8x7B | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Molmo (0924) | Unknown | unknown for its base model OpenAI CLIP: training data not disclosed in enough detail |
| Recent LLM benchmarks | Molmo2 | Unknown | unknown for its base model Qwen3: training data not disclosed in enough detail |
| Recent LLM benchmarks | OpenAI o1 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | OpenAI o3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | OLMo (February 2024) | Not seen | its test items were published from 2023-05-01, after the model's stated training-data cutoff (2023-02-01) |
| Recent LLM benchmarks | OLMo 2 (November 2024) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Olmo 3.1 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Olmo 3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Olmo Hybrid 7B | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-3.5 (mini / MoE) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-3 (mini / small / medium) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-4-mini-flash-reasoning | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-4-mini-reasoning | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-4-mini | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-4-reasoning / Phi-4-reasoning-plus | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-4 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Phi-mini-MoE / Phi-tiny-MoE (SlimMoE) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Pixtral 12B | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Pixtral Large | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Pythia (deduplicated) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Pythia | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen2.5-VL | Unknown | unknown for its base model Qwen2.5: training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen2.5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3-2507 (Instruct-2507 / Thinking-2507) | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3-Next | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3-VL | Unknown | unknown for its base model Qwen3: training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3.5 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3.6 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3.8-Flash-Next | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3.8 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | Qwen3 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | SmolLM2 | Unknown | training data not disclosed in enough detail |
| Recent LLM benchmarks | SmolLM3 | Unknown | training data not disclosed in enough detail |
Notes
Version/time window: release_v6 (May 2023 - Apr 2025) is the latest listed in the GitHub README on 2026-10-15; the HF card lists versions only up to release_v5. published_from is the start of the window shared by all versions; specific reports may use later sub-windows.
Sources
- LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (arXiv v2) · paper · retrieved 2026-10-15
- LiveCodeBench README · readme · retrieved 2026-10-15
- livecodebench/code_generation_lite dataset card · dataset card · retrieved 2026-10-15