Benchmark Almanac

AndroidBench

Claude Opus 5 91.8% leads since Jul 2026 In use

Android development tasks from popular open-source apps: agent resolves issues or builds features, verified by test suites in emulator environments.

Android Bench 1.0 has 100 tasks drawn from real pull requests in open-source Android apps. Frontier models reached about 90%, and Google replaced it with 2.0 on 2026-09-17. The GitHub repo is archived in favor of Harbor Hub.

Made by Google (Android Developers) Released Mar 2026 Fixing real repositories All tasks public Last in a launch post Aug 2026 Last model added Aug 2026 Scores refreshed 2 Nov 2026
Level
Expert Specialists with years of training, often over hours of work
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.
32
Models scored on its own leaderboard
1
Launch post lists it, from 1 lab

Claude Opus 5 leads with 91.8% among models released by Aug 2026

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.

The newest model with a score here came out in Aug 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Claude Opus 5 91.8%
  2. 2 Claude Fable 5 90.9%
  3. 3 GPT-5.6 Sol 90.8%
  4. 4 Kimi K3 90.2%
  5. 5 GPT-5.6 Luna 87.6%
  6. 6 Qwen 3.8 Max 87%
  7. 7 GPT-5.6 Terra 86.8%
  8. 8 GPT-5.5 80.2%
  9. 9 Claude Sonnet 5 76.2%
  10. 10 Gemini 3.6 Flash 75.6%
  11. 11 Gemini 3.1 Pro 74.3%
  12. 12 GPT-5.4 74.1%
  13. 13 Claude Opus 4.8 72.4%
  14. 14 GLM-5.2 72.2%
  15. 15 Gemini 3.5 Flash 71.1%
  16. 16 Kimi K2.7 Code 70.4%
  17. 17 Claude Opus 4.7 68.7%
  18. 18 Kimi K2.6 67.6%
  19. 19 Claude Sonnet 4.6 67%
  20. 20 MiniMax-M3 63.6%
  21. 21 GLM-5.1 63.2%
  22. 22 Gemini 3 Flash 62.5%
  23. 23 MiMo-V2.5-Pro 60.8%
  24. 24 DeepSeek-V4-Pro 59.5%
  25. 25 Qwen3.7-Plus 57.7%
  26. 26 DeepSeek-V4-Flash 54.7%
  27. 27 Qwen3.7-Max 54.2%
  28. 28 Gemini 3.5 Flash-Lite 50.6%
  29. 29 Qwen3.6 27B 45.1%
  30. 30 MiniMax-M2.7 41.6%
  31. 31 Gemma 4 31B IT 37.1%
  32. 32 Qwen 3.6 35B-A3B 37%
#ModelScoreSettingDateSource
1 Claude Opus 5 91.8% Jul 2026 Official leaderboard
2 Claude Fable 5 90.9% Jun 2026 Official leaderboard
3 GPT-5.6 Sol 90.8% Jul 2026 Official leaderboard
4 Kimi K3 90.2% Jul 2026 Official leaderboard
5 GPT-5.6 Luna 87.6% Jul 2026 Official leaderboard
6 Qwen 3.8 Max 87% Aug 2026 Official leaderboard
7 GPT-5.6 Terra 86.8% Jul 2026 Official leaderboard
8 GPT-5.5 80.2% Apr 2026 Official leaderboard
9 Claude Sonnet 5 76.2% Jun 2026 Official leaderboard
10 Gemini 3.6 Flash 75.6% Jul 2026 Official leaderboard
11 Gemini 3.1 Pro 74.3% Feb 2026 Official leaderboard
12 GPT-5.4 74.1% Mar 2026 Official leaderboard
13 Claude Opus 4.8 72.4% May 2026 Official leaderboard
14 GLM-5.2 72.2% Jun 2026 Official leaderboard
15 Gemini 3.5 Flash 71.1% May 2026 Official leaderboard
16 Kimi K2.7 Code 70.4% Jun 2026 Official leaderboard
17 Claude Opus 4.7 68.7% Apr 2026 Official leaderboard
18 Kimi K2.6 67.6% Apr 2026 Official leaderboard
19 Claude Sonnet 4.6 67% Feb 2026 Official leaderboard
20 MiniMax-M3 63.6% Jun 2026 Official leaderboard
21 GLM-5.1 63.2% Apr 2026 Official leaderboard
22 Gemini 3 Flash 62.5% Dec 2025 Official leaderboard
23 MiMo-V2.5-Pro 60.8% Apr 2026 Official leaderboard
24 DeepSeek-V4-Pro 59.5% Apr 2026 Official leaderboard
25 Qwen3.7-Plus 57.7% Jun 2026 Official leaderboard
26 DeepSeek-V4-Flash 54.7% Apr 2026 Official leaderboard
27 Qwen3.7-Max 54.2% May 2026 Official leaderboard
28 Gemini 3.5 Flash-Lite 50.6% Jul 2026 Official leaderboard
29 Qwen3.6 27B 45.1% Apr 2026 Official leaderboard
30 MiniMax-M2.7 41.6% Mar 2026 Official leaderboard
31 Gemma 4 31B IT 37.1% Apr 2026 Official leaderboard
32 Qwen 3.6 35B-A3B 37% Apr 2026 Official leaderboard

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

4 models have held number one since its release in Mar 2026

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

Google DeepMind OpenAI Anthropic
Own leaderboard Passed 85% in Jun 2026, by Claude Fable 5

The best score passed 85% in Jun 2026

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 Near the ceiling (85%) Claude Opus 5 GPT-5.5 Gemini 3.1 Pro Claude Sonnet 4.6 Gemini 3 Flash 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 5 GPT-5.5

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.

Qwen
DateLaunch postScoreAs the post writes it
3 Aug 2026 Qwen 3.8 Max 75.1 AndroidBench

Versions

We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.

Google DeepMind OpenAI Anthropic
Android Bench 2.0 8 leaders
AndroidBench Passed 85% in Jun 2026, by Claude Fable 5

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