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# Claude 4.5 Opus led SWE-bench Verified at 76.8% in February 2026; the top 10 sat within 6 points
- URL: https://aiadoption.org/data/swe-bench-verified-top-models/
- Published: 2026-10-19T16:06:44.000Z
- Updated: 2026-10-21T06:01:05.000Z
- Description: Claude 4.5 Opus (high reasoning) resolved 76.8% of SWE-bench Verified's real GitHub issues in February 2026. The tenth-placed model, Kimi K2.5, resolved 70.8%, 6 percentage points less.
- Author: Manu
- Tags: Data, AI Benchmarks, AI Coding, #chart, #ai-index-2026, #hub-benchmarks, #topic-ai-agents

76.8%

#1

of SWE-bench Verified issues resolved by Claude 4.5 Opus (high reasoning), February 2026; the tenth-placed model resolved 70.8%

First and tenth

Claude 4.5 Opus (high)76.8%

Kimi K2.5 (high)70.8%

## What the chart shows

SWE-bench Verified gives a model a real codebase and a GitHub issue, and counts the share of human-checked issues it resolves with a working patch. As of February 2026, Claude 4.5 Opus (high reasoning) led at 76.8%, ahead of Gemini 3 Flash and MiniMax M2.5 (both 75.8%) and Claude Opus 4.6 (75.6%).

The top 10 models sit within 6 percentage points of each other, down to Kimi K2.5 at 70.8%. On the older SWE-bench Lite subset, where entries mix agent systems and models, the AI Index’s top 10 ranged from 44% to 60.3%.

## Key numbers

| Measure                                                   | Value  |
| --------------------------------------------------------- | ------ |
| Claude 4.5 Opus (high reasoning)                          | 76.8%  |
| Gemini 3 Flash (high reasoning)                           | 75.8%  |
| MiniMax M2.5 (high reasoning)                             | 75.8%  |
| Claude Opus 4.6                                           | 75.6%  |
| Kimi K2.5 (high reasoning), 10th                          | 70.8%  |
| Best on SWE-bench Lite: ExpeRepair-v1.0 + Claude 4 Sonnet | 60.33% |

## How to read it

- All Verified results use the same agent workflow (mini-SWE-agent-v2), so differences reflect the model rather than the system around it.
- The leaderboard lists GPT-5.2 Codex twice, as “GPT-5-2 Codex” and “GPT 5.2 Codex”, both at 72.8%; we show both as published.
- The source figure also shows the top 10 on SWE-bench Lite, a smaller subset; those rows are in the CSV.

**Source:** [SWE-bench Leaderboard](https://aiadoption.org/sources/#swe-bench), 2026, via the AI Index Report 2026 (Stanford HAI), figure 2.5.1: *SWE-bench: percent solved*. Chart and text by AI Adoption.  
Numbers checked against the published data on 20 October 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/swe-bench-verified-top-models.csv?ref=aiadoption.org) · [Cite this chart](#source)