AIEvals

Benchmarks

SWE-Bench Pro V2 Full

Repository issue resolution on the full public V2 set. Models must edit an existing codebase to satisfy the issue’s verification tests.

Repository codingScale AI / SEAL10 models run by Scale AI / SEALUpdated 22 September 2026

How it is run

Published September 2026 V2 table. Resolved-task percentage; each row retains its agent scaffold and effort setting.

What it cannot tell you

Full and HARD are distinct task sets. Claude Code, Codex and mini-swe-agent results use different scaffolds and are not a controlled model-only comparison.

Leader
Opus 5 (Claude Code) xhigh99.40% · Scale AI / SEAL results, grouped here by release
Top-ten spread
9.52%Leader minus tenth place, or last place in smaller fields.
Median
95.55%of the 10 rows published
No published result
36of 46 models on this site

Scale AI / SEAL results by release

V2 FULL field, as published. Different agent scaffolds and effort settings are retained per row; this is a model-and-agent comparison.

#ModelScoreEffort
1Opus 5 (Claude Code) xhigh99.40%(Claude Code) xhigh
2Fable 5.1 (Claude Code) high99.10%(Claude Code) high
3Kimi-K3 (mini-swe-agent) max97.70%(mini-swe-agent) max
4GPT-6-Astra (Codex) high96.90%(Codex) high
5GLM-5.3 (mini-swe-agent) max95.60%(mini-swe-agent) max
6GPT-5.6-sol (Codex) xhigh95.50%(Codex) xhigh
7Gemini 3.8 Flash (mini-swe-agent) high94.86%(mini-swe-agent) high
8Sonnet 5 (Claude Code) xhigh93.15%(Claude Code) xhigh
9GPT-5.6-Terra (Codex) xhigh92.37%(Codex) xhigh
10Inkling (mini-swe-agent) xhigh89.88%(mini-swe-agent) xhigh

No published result tracked

36 of the 46 models on this site have no published number on this benchmark, so their cells in the home table stay blank rather than reading as zero.

Read this with

Other versions of the same evaluation. Versions are not comparable: the task set changes between them.

Sources

Every page used for this benchmark, read on 17 October 2026.