LiveBench 2.0 Coding
LiveBench 2.0 coding suite: real merged-PR bug fixes on a frozen monorepo, graded deterministically.
As of 21 Oct 2026, Claude Fable 5 leads LiveBench 2.0 Coding on BenchLeader with 98.3%, ahead of Claude Fable 5.1 at 97.7%, across 48 model configurations with a published result.
- Published by
- LiveBench
- Category
- Coding
- Index weight
- Reference only
- Models
- 48
- Data as of
- 21 Oct 2026
LiveBench (livebench.ai), White et al. 2024.
Not comparable with the earlier test of the same name, whose final scores stay on LiveBench 1.0 Coding.
What the test looks like
LiveBench 2.0's coding suite: the model fixes real bugs from merged pull requests in a frozen monorepo, working with tools in an agent loop.
How it is scored
Mean task score from 0 to 100 on the current release, graded deterministically; a fix that breaks something else scores 0.
What to keep in mind
It shares a name with LiveBench 1.0's Coding category, which was short competitive-programming problems, so the two are kept apart; 2.0 scores start on 19 October 2026. Harness-dependent, like any agentic test.
- 1Claude Fable 598.3%
- 2Claude Fable 5.197.7%
- 3Claude Opus 5.596.3%
- 4GPT-6.1 Sol96.0%
- 5DeepSeek V4.1 Flash 101796.0%
- 6Claude Sonnet 5.594.7%
- 7Grok 4.594.3%
- 8GPT-6 Astra93.7%
- 9GPT-6 Sol93.1%
- 10Claude Haiku 5.591.4%
- 11Claude Opus 590.8%
- 12Muse Spark 1.390.2%
- 13DeepSeek V4.1 Flash90.2%
- 14Gemini 4 Argon89.7%
- 15GPT-5.6 Sol89.7%
| # | ||||
|---|---|---|---|---|
| 1 | 98.3% | 67.1 | 2026-10-14 | |
| 2 | 97.7% | 66.2 | 2026-10-14 | |
| 3 | 96.3% | 61.9 | 2026-10-14 | |
| 4 | 96.0% | 63.3 | 2026-10-14 | |
| 5 | New | 96.0% | – | 2026-10-14 |
| 6 | 94.7% | – | 2026-10-14 | |
| 7 | 94.3% | 58.9 | 2026-10-14 | |
| 8 | 93.7% | 67.9 | 2026-10-14 | |
| 9 | 93.1% | – | 2026-10-14 | |
| 10 | 91.4% | – | 2026-10-14 | |
| 11 | 90.8% | 65.4 | 2026-10-14 | |
| 12 | 90.2% | 58.3 | 2026-10-14 | |
| 13 | 90.2% | – | 2026-10-14 | |
| 14 | 89.7% | 63.3 | 2026-10-14 | |
| 15 | 89.7% | 55.9 | 2026-10-14 | |
| 16 | 89.1% | 57.8 | 2026-10-14 | |
| 17 | 87.4% | – | 2026-10-14 | |
| 18 | 86.8% | 54.5 | 2026-10-14 | |
| 19 | 86.2% | 63.6 | 2026-10-14 | |
| 20 | 86.2% | 52.6 | 2026-10-14 | |
| 21 | 85.6% | 60.6 | 2026-10-14 | |
| 22 | 85.1% | 60.2 | 2026-10-14 | |
| 23 | 84.5% | – | 2026-10-14 | |
| 24 | 84.5% | – | 2026-10-14 | |
| 25 | New | 83.9% | 61.9 | 2026-10-14 |
| 26 | New | 83.9% | 54.6 | 2026-10-14 |
| 27 | 82.8% | – | 2026-10-14 | |
| 28 | 82.2% | 55.6 | 2026-10-14 | |
| 29 | 81.5% | 64.1 | 2026-10-14 | |
| 30 | 80.6% | 62.7 | 2026-10-14 | |
| 31 | 80.5% | 53.2 | 2026-10-14 | |
| 32 | 78.2% | – | 2026-10-14 | |
| 33 | 77.3% | 60.1 | 2026-10-14 | |
| 34 | 74.7% | 56.0 | 2026-10-14 | |
| 35 | 73.6% | 47.9 | 2026-10-14 | |
| 36 | New | 73.6% | – | 2026-10-14 |
| 37 | 70.9% | 56.5 | 2026-10-14 | |
| 38 | 66.7% | 60.7 | 2026-10-14 | |
| 39 | 66.6% | 57.1 | 2026-10-14 | |
| 40 | 65.5% | – | 2026-10-14 | |
| 41 | 60.3% | 63.3 | 2026-10-14 | |
| 42 | 60.0% | 56.7 | 2026-10-14 | |
| 43 | 59.3% | 59.1 | 2026-10-14 | |
| 44 | 49.0% | 48.3 | 2026-10-14 | |
| 45 | 48.1% | 45.3 | 2026-10-14 | |
| 46 | 43.6% | – | 2026-10-14 | |
| 47 | 37.6% | – | 2026-10-14 | |
| 48 | 22.6% | – | 2026-10-14 |
More coding benchmarks · All LLM benchmarks
Cite as: BenchLeader, “LiveBench 2.0 Coding leaderboard”, https://www.benchleader.com/benchmarks/livebench2_coding, data as of 21 Oct 2026.
LiveBench 2.0 Coding: questions
- What does LiveBench 2.0 Coding measure?
- LiveBench 2.0's coding suite: the model fixes real bugs from merged pull requests in a frozen monorepo, working with tools in an agent loop. Scores are reported in percent of tasks solved; higher is better.
- Which AI model leads LiveBench 2.0 Coding?
- Claude Fable 5 leads LiveBench 2.0 Coding with 98.3% as of 21 Oct 2026, ahead of Claude Fable 5.1 at 97.7%.
- How many models have LiveBench 2.0 Coding results?
- 48 model configurations have a LiveBench 2.0 Coding result on BenchLeader, all taken from LiveBench.
- Who runs LiveBench 2.0 Coding and how often is it updated?
- LiveBench 2.0 Coding is published by LiveBench. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does LiveBench 2.0 Coding count toward the BenchLeader Index?
- No. LiveBench 2.0 Coding is shown for reference but left out of the composite index.