AInstein-SWE-Bench
Agents fix issues and add features in production scientific code repositories, such as quantum chemistry and astrophysics codes. Fail-to-pass tests in containers check each change.
In-house Seed benchmark. The Seed2.0 model card calls it Ainstain Bench.
- Made by
- ByteDance Seed
- Released
- December 2025
- Kind
- Scientific code
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Last in a launch post
- December 2025, dropped before it saturated
- Last model added
- March 2026
Seed2.0 Pro leads with 47.7%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
- 1
Seed2.0 Pro 47.7%
- 2
Seed1.8 36.7%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 47.7% | Feb 2026 | Lab model card | |
| 2 | | 36.7% | Dec 2025 | Lab model card |
2 models have held number one in labs’ own numbers since its release in December 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs headline it less often now, last in December 2025
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Dec 18, 2025 | 36.7 | AInstein-SWE-Bench |
2 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Mar 21, 2026 | | 36.7 | AInstein-SWE-Bench (Table 4) | Capabilities |
| Feb 14, 2026 | | 47.7 | AInstein Bench (Table 13), Ainstain Bench in 3.4 | Capabilities |
More in Coding
- SWE-bench Verified In use 500 human-validated GitHub issues from 12 Python repos. Agent writes a patch that must pass hidden tests. Claude Opus 4.7 83.5%
- LiveCodeBench v6 In use Competitive programming problems collected after model cutoffs from LeetCode, AtCoder, Codeforces. Scored pass@1 on hidden tests.
DeepSeek-V4-Pro 93.5%
- SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Fable 5.2 96.6%
- DeepSWE In use 113 original long-horizon engineering tasks across 91 repos and five languages, written from scratch. Hand-written verifiers accept alternative solutions. GPT-6 Astra 74.1%
- SciCode In use Scientist-curated research coding problems split into subproblems across natural sciences. Code checked against test cases.
Seed2.1 Pro 59.8%
- Codeforces rating In use Model solves recent Codeforces contest problems. An Elo-style rating is computed from simulated contest performance.
DeepSeek V4.1 Flash 3,471