SWE-2 (max): benchmark scores, price and ranking

SWE-2 (max) from Cognition ranks #87 of 743 LLMs on the LLMs Tiger aggregate benchmark score (51.9), based on 1 benchmark results captured up to 2026-10-13.

Organisation
Cognition
Type
Frontier model
Open weights
No
Released
2026-09-10 (source: epoch)
Aggregate rank
#87 of 743 (score 51.9)

Across the 1 benchmark where at least ten models are scored, SWE-2 (max) is in the top 10% on 0 and in the top half on 1.

SWE-2 (max) benchmark results

SWE-2 (max) benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
FrontierCode50.0%#3 of 15Epoch AI Benchmarking Hub2026-10-13

About SWE-2 (max)

SWE-2 (max) is a frontier model from Cognition. It was released on 2026-09-10, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where SWE-2 (max) stands

On our aggregate score, SWE-2 (max) is #87 of 743 ranked models, in the top quarter. Its score is 51.9; the scale is centred on 50, so it sits 1.9 points above the typical model. That beats 88% of the ranked field. Among the 3 ranked Cognition models it is #1. The next one down is SWE-1.7 at 50.8.

SWE-2 (max), benchmark by benchmark

FrontierCode puts SWE-2 (max) at 50.0%, #3 of 15. That beats 80% of the models tested, but 3.4 points short of Claude Opus 5 (max) (53.4%). The results either side are GPT-6 Astra (max) (53.3%) and GPT-6 Sol (max) (49.3%). It covers hard programming tasks. The board median is 31.8%, so SWE-2 (max) is 18.2 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The Cognition model released before it was SWE-1.7 on 2026-07-08, which scores 50.8.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works