Leaderboard Archive
To view historical performance data for previous models, select a version below.
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June 9th 2026 Android LLM Benchmark
Model Score (%) Average percentage of 100 test cases successfully resolved across 10 runs for each model arrow_range Cl range (%) Expected performance range, reflecting the results' statistical reliability (p-value < 0.05)Avg latency (h) Average time taken to solve 100 tasks across 10 runsAvg cost ($) Average cost per full benchmark run GPT 5.5
74.0 66.9 — 80.6 15.7 $134.2 GPT 5.4
72.4 65.4 — 79.0 21.2 $91.7 Gemini 3.1 Pro Preview
72.4 65.2 — 79.0 11.1 $47.9 Claude Opus 4.7
68.7 61.0 — 76.0 11.6 $124.3 Claude Opus 4.6
66.6 59.2 — 74.0 9.9 $84.4 Gemini 3.5 Flash
63.7 56.3 — 70.7 14.2 $147.1 GLM 5.1
59.7 52.1 — 67.4 33.4 $46.7 Kimi K2.6
58.6 51.3 — 66.1 29.9 $42.5 Claude Sonnet 4.6
58.4 50.3 — 66.3 8.2 $40.4 DeepSeek V4 Pro
55.4 47.9 — 63.5 35.8 $13.7 Claude Sonnet 4.5
53.7 46.1 — 61.4 13.1 $61.0 DeepSeek V4 Flash
52.7 45.1 — 60.2 28.1 $8.4 MiMo 2.5 Pro
52.0 43.6 — 59.4 33.1 $74.5 Qwen 3.6 Max Preview
51.4 44.1 — 59.2 20.5 $222.4 Gemini 3 Flash Preview
42.0 36.2 — 48.2 16.5 $34.2 Qwen 3.6 27B
37.4 30.3 — 44.7 20.7 $64.6 MiniMax M2.7
37.2 30.2 — 44.3 20.3 $10.1 Gemma 4 31B IT
33.2 26.0 — 40.8 14.2 $2.5 Qwen 3.6 35B A3B
31.7 24.7 — 39.0 12.5 $10.7 Gemma 4 26B A4B IT
25.1 18.6 — 31.8 21.4 $3.3 GPT OSS 120B
18.9 13.3 — 24.7 25.9 $7.6 Qwen 3.5 9B
15.5 10.4 — 21.1 16.6 $15.6 GPT OSS 20B
2.4 1.1 — 3.8 3.8 $0.2 Latest results as of June 9th.
View archived leaderboards and check back periodically for updates. -
May 18th 2026 Android LLM Benchmark
Model Score (%) Average percentage of 100 test cases successfully resolved across 10 runs for each model arrow_range Cl range (%) Expected performance range, reflecting the results' statistical reliability (p-value < 0.05)Avg latency (h) Average time taken to solve 100 tasks across 10 runsAvg cost ($) Average cost per full benchmark run GPT 5.5
74.0 66.8 — 80.5 15.5 $133.9 GPT 5.4
72.4 65.4 — 79.3 21.2 $91.7 Gemini 3.1 Pro Preview
72.4 65.1 — 78.8 11.5 $49.0 Claude Opus 4 7
68.7 60.5 — 75.9 11.6 $124.3 GPT 5.3 Codex
67.7 59.9 — 75.6 11.2 $42.6 Claude Opus 4 6
66.6 59.1 — 74.1 9.9 $84.4 GPT 5.2 Codex
62.5 54.4 — 70.0 24.3 $121.9 Claude Opus 4.5
61.9 53.9 — 70.2 12.5 $102.5 Gemini 3 Pro Preview
60.4 52.3 — 67.7 9.8 $63.7 GLM 5.1
59.7 52.4 — 67.4 33.4 $46.7 Claude Sonnet 4.6
58.4 50.3 — 66.4 8.2 $40.4 Kimi K2.6
58.6 51.3 — 66.5 29.9 $42.5 DeepSeek V4 Pro
55.4 47.5 — 63.6 35.8 $13.7 Claude Sonnet 4.5
54.2 45.9 — 62.2 13.1 $60.3 DeepSeek V4 Flash
52.7 45.3 — 60.7 28.1 $8.4 MiMo 2.5 Pro
52.0 43.8 — 60.0 33.1 $74.5 Qwen 3.6 Max Preview
51.4 43.5 — 59.3 20.5 $222.4 Gemini 3 Flash Preview
42.0 36.6 — 47.3 16.5 $34.2 MiniMax M2.7
37.2 30.3 — 44.9 20.3 $10.1 Qwen 3.6 27B
37.4 30.5 — 44.5 20.7 $64.6 Gemma 4 31B IT
33.2 26.2 — 40.8 14.2 $2.5 Qwen 3.6 35B A3B
31.7 24.4 — 39.0 12.5 $10.7 Gemini 2.5 Pro
29.1 22.3 — 36.1 8.4 $35.8 Gemma 4 26B A4B IT
25.1 18.8 — 31.8 21.4 $3.3 GPT OSS 120B
18.9 13.1 — 25.1 25.9 $7.6 Gemini 2.5 Flash
15.9 10.7 — 21.1 4.9 $11.2 Qwen 3.5 9B
15.5 10.1 — 20.9 16.6 $15.6 GPT OSS 20B
2.4 1.2 — 3.9 3.8 $0.2 Latest results as of May 18th.
View archived leaderboards and check back periodically for updates. -
May 5th 2026 Android LLM Benchmark
Model Score (%) Average percentage of 100 test cases successfully resolved across 10 runs for each model arrow_range Cl range (%) Expected performance range, reflecting the results' statistical reliability (p-value < 0.05) GPT 5.5
74.0 66.8 — 80.5 GPT 5.4
72.4 65.4 — 79.3 Gemini 3.1 Pro Preview
72.4 65.1 — 78.8 Claude Opus 4.7
68.7 61.2 — 76.0 GPT 5.3 Codex
67.7 59.9 — 75.1 Claude Opus 4.6
66.6 59.5 — 73.9 GPT 5.2 Codex
62.5 54.6 — 70.1 Claude Opus 4.5
61.9 53.0 — 70.1 Gemini 3 Pro Preview
60.4 52.3 — 68.2 Claude Sonnet 4.6
58.4 50.4 — 66.5 Claude Sonnet 4.5
53.8 45.5 — 62.2 Gemini 3 Flash Preview
42.0 36.5 — 47.6 Gemini 2.5 Flash
16.7 11.5 — 22.1 Latest results as of May 5th.
View archived leaderboards and check back periodically for updates. -
April 7th 2026 Android LLM Benchmark
Model Score (%) Average percentage of 100 test cases successfully resolved across 10 runs for each model arrow_range Cl range (%) Expected performance range, reflecting the results' statistical reliability (p-value < 0.05) GPT-5.4
72.4 65.1 — 79.3 Gemini 3.1 Pro Preview
72.4 64.8 — 79.3 GPT-5.3-Codex
67.7 60.1 — 74.8 Claude Opus 4.6
66.6 58.5 — 74.0 GPT-5.2-Codex
62.5 54.8 — 69.8 Claude Opus 4.5
61.9 53.8 — 70.3 Gemini 3 Pro Preview
60.4 52.4 — 68.1 Claude Sonnet 4.6
58.4 50.9 — 66.5 Claude Sonnet 4.5
54.2 46.0 — 62.1 Gemini 3 Flash Preview
42.0 36.4 — 47.7 Gemini 2.5 Flash
16.1 11.2 — 21.2 Latest results as of April 7th.
View archived leaderboards and check back periodically for updates. -
March 5th 2026 Android LLM Benchmark
Model Score (%) Average percentage of 100 test cases successfully resolved across 10 runs for each model arrow_range Cl range (%) Expected performance range, reflecting the results' statistical reliability (p-value < 0.05) Gemini 3.1 Pro Preview
72.4 65.3 — 79.8 Claude Opus 4.6
66.6 58.9 — 73.9 GPT-5.2-Codex
62.5 54.7 — 70.3 Claude Opus 4.5
61.9 53.9 — 69.6 Gemini 3 Pro Preview
60.4 52.6 — 67.8 Claude Sonnet 4.6
58.4 51.1 — 66.6 Claude Sonnet 4.5
54.2 45.5 — 62.4 Gemini 3 Flash Preview
42.0 36.3 — 47.9 Gemini 2.5 Flash
16.1 10.9 — 21.9 Latest results as of March 5th.
View archived leaderboards and check back periodically for updates.