Benchmark Almanac

SWE-sweep

GPT-6 Astra 9.50% leads since Oct 2026 In use

Agents get a real repository with no hint of bug type or location and must find and repair as many bugs as they can. Score is the share of bugs resolved.

100 repositories with 4.1k bugs, run through Harbor with mini-SWE-agent. GPT-6 Astra led at 9.5% on 2026-10-08. Authors include the SWE-bench team.

Made by Meta Superintelligence Labs (with Harvard, UW and Stanford) Released Oct 2026 Fixing real repositories All tasks public Last in a launch post Oct 2026 Last model added Oct 2026 Scores refreshed 2 Nov 2026
Level
Research frontier Researchers, on open problems or tasks that take days
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Code A program or patch run against tests.
facebookresearch/swe-sweep 213 stars Paper Leaderboard swesweep.com
10
Models scored on its own leaderboard
1
Launch post lists it, from 1 lab

GPT-6 Astra leads with 9.50%

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.

  1. 9.50 GPT-6 Astra
  2. 4.70 GPT-5.6 Sol
  3. 3.60 Claude Opus 5.5
  4. 2.90 Claude Fable 5.1
  5. 2.50 GPT-5.6 Luna
  6. 1.50 GPT-5.6 Terra
  7. 1.30 Claude Opus 5
  8. 0.60 Kimi K3
  9. 0.50 GPT-5.4 Mini
  10. 0.10 Gemini 3.5 Flash-Lite
  1. 1 GPT-6 Astra 9.50%
  2. 2 GPT-5.6 Sol xhigh 4.70%
  3. 3 Claude Opus 5.5 xhigh 3.60%
  4. 4 Claude Fable 5.1 2.90%
  5. 5 GPT-5.6 Luna xhigh 2.50%
  6. 6 GPT-5.6 Terra xhigh 1.50%
  7. 7 Claude Opus 5 xhigh 1.30%
  8. 8 Kimi K3 0.60%
  9. 9 GPT-5.4 Mini high 0.50%
  10. 10 Gemini 3.5 Flash-Lite 0.10%
#ModelScoreSettingDateSource
1 GPT-6 Astra 9.50% mini-SWE-agent Sep 2026 Official leaderboard
2 GPT-5.6 Sol 4.70% xhigh, mini-SWE-agent Jul 2026 Official leaderboard
3 Claude Opus 5.5 3.60% xhigh, mini-SWE-agent Sep 2026 Official leaderboard
4 Claude Fable 5.1 2.90% mini-SWE-agent Sep 2026 Official leaderboard
5 GPT-5.6 Luna 2.50% xhigh, mini-SWE-agent Jul 2026 Official leaderboard
6 GPT-5.6 Terra 1.50% xhigh, mini-SWE-agent Jul 2026 Official leaderboard
7 Claude Opus 5 1.30% xhigh, mini-SWE-agent Jul 2026 Official leaderboard
8 Kimi K3 0.60% mini-SWE-agent Jul 2026 Official leaderboard
9 GPT-5.4 Mini 0.50% high, mini-SWE-agent Mar 2026 Official leaderboard
10 Gemini 3.5 Flash-Lite 0.10% mini-SWE-agent Jul 2026 Official leaderboard

Labs report scores for 1 model in their cards. We plot every source in the charts below.

The best score, 9.50%, costs $35 a task

Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.

OpenAI Anthropic Cost frontier One model at each effort level
0% 2% 4% 6% 8% 10% $0.01 $0.10 $1.00 $10 $100 Cost per task, log scale GPT-6 Astra Claude Opus 5.5, xhigh GPT-5.6 Luna, xhigh GPT-5.6 Luna, high GPT-5.6 Luna 0% 2% 4% 6% 8% 10% $0.01 $0.10 $1.00 $10 $100 Cost per task, log scale GPT-6 Astra Claude Opus 5.5, xhigh
ModelEffortHarnessScoreCost per taskOutput tokens
GPT-6 Astra mini-SWE-agent 9.50% $35
GPT-5.6 Sol xhigh mini-SWE-agent 4.70% $72
Claude Opus 5.5 xhigh mini-SWE-agent 3.60% $22
Claude Fable 5.1 mini-SWE-agent 2.90% $39
GPT-5.6 Luna xhigh mini-SWE-agent 2.50% $2.24
GPT-5.6 Terra xhigh mini-SWE-agent 1.50% $3.57
GPT-5.6 Luna high mini-SWE-agent 1.40% $0.28
Claude Opus 5 xhigh mini-SWE-agent 1.30% $54
Kimi K3 mini-SWE-agent 0.60% $25
GPT-5.4 Mini high mini-SWE-agent 0.50% $1.22
GPT-5.6 Luna mini-SWE-agent 0.50% $0.04
GPT-5.4 Mini mini-SWE-agent 0.20% $0.05
Gemini 3.5 Flash-Lite mini-SWE-agent 0.10% $0.06

Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI
Own leaderboard 1 leader
GPT-6 Astra 9.50%

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Gemini 4 Carbon GPT-5.6 Sol GPT-5.4 Mini 0% 20% 40% 60% 80% 100% 2026 2027 Near the ceiling (85%) Gemini 4 Carbon GPT-5.4 Mini

One lab put it in a launch post in the last six months

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.

Google DeepMind
DateLaunch postScoreAs the post writes it
28 Oct 2026 Gemini 4 Carbon 9.6 SWE-sweep

More in Coding

All 243 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%
  • SWE-bench Multilingual In use 300 GitHub-issue tasks across nine programming languages in SWE-bench format. Patch graded by repository tests. Claude Opus 5.5 93.9%
  • 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%
  • 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