Hamugao AI/Frontier Benchmarks
v2.5.0 (Late-2026 Frontier Reproducibility Release) · 1M Context · Max Reasoning Effort

Setting a new Pareto frontier across reasoning, coding, and agentic execution

Hamugao 2 Fulgor, Hamugao 1 Pro, and Hamugao 1 Flash combine a native 1M-token context window with multi-step verification to surpass late-2026 frontier models across PhD-level scientific reasoning, competitive programming, autonomous repository resolution, and multimodal tool-use benchmarks. All numbers on this page and the homepage are generated from the same canonical evaluation dataset.

DeepSWE v1.1 (Resolved)
81.4%+4.2 vs Opus 5.5
Hamugao 2 Fulgor · #1 Autonomous SWE
Hamugao 1 Pro: 79.6% · Opus 5.5: 77.2% · GPT-6.1 Sol: 76.4%
GPQA Diamond (Pass@1)
94.8%+0.7 vs GPT-6.1 Sol
PhD-level scientific reasoning
GPT-6.1 Sol: 94.1% · Gemini 4 Argon: 93.9% · Opus 5.5: 93.8%
Terminal-Bench 4.0
54.2%+1.8 vs Opus 5.5
End-to-end CLI agentic execution
Opus 5.5: 52.4% · Hamugao 1 Pro: 51.9% · Gemini 4 Argon: 49.6%
Codeforces Rating
3,542+68 vs Gemini 4 Argon
Legendary GM · Algorithmic synthesis
Hamugao 1 Pro: 3,508 · Gemini 4 Argon: 3,474 · GPT-6.1 Sol: 3,462
Benchmark (Metric & Harness)Hamugao 2 FulgorHamugao 1 ProHamugao 1 FlashClaude Opus 5.5GPT-6.1 SolGemini 4 ArgonGrok 4.7GLM-5.3Kimi K3.1 Pro
Reasoning & Competitive Mathematics
GPQA Diamond (Pass@1)
gpqa-eval-v1.0 (198 Diamond questions)
94.893.691.893.894.193.992.688.193.1
HLE w/o tools (Pass@1)
hle-eval-v2026.02 (Full & Text-only †)
57.4 (58.9†)55.8 (56.6†)55.3 (56.1†)56.855.456.151.242.0†46.8
HLE w/ tools (Pass@1)
hle-eval-v2026.02 (Python + Search sandbox)
68.466.866.266.964.265.863.162.561.4
MathArena Apex (Pass@1)
matharena-apex-v1.2 (Olympiad & Putnam)
71.469.869.161.268.469.064.858.466.9
Codeforces (Rating)
cf-live-sim-v2.0 (Div. 1 + Div. 2 contests)
354235083489341834623474339532903380
Agentic Coding, Terminal & Software Engineering
DeepSWE v1.1 (Resolved)
Mini-SWE-V2 container harness (500 PR tasks)
81.479.678.477.276.475.872.666.970.4
Terminal-Bench 4.0 (Pass@1)
tbench-v4.0.0 Dockerized Linux CLI
54.251.951.252.448.249.644.537.941.8
Terminal-Bench 2.1 (Pass@1)
tbench-v2.1.0 Standard CLI suite
93.492.191.491.090.490.889.288.289.0
NL2Repo-Bench (Score)
nl2repo-v1.0 (Zero-to-one repo synthesis)
77.675.874.276.173.474.069.858.064.2
ProgramBench (Almost@1)
programbench-v1.1 (Full-stack architecture)
39.437.635.838.137.836.933.419.028.6
Automation-Bench v1.0.6 (Pass@1)
automation-bench-v1.0.6 (Multi-service CI/CD)
65.863.961.958.664.162.456.248.852.4
Agents' Last Exam (Pass@1)
ale-v1.0 (Long-horizon autonomous tasks)
39.837.936.438.437.637.134.228.531.0
Apex Bench v1.1
apex-bench-v1.1 (Enterprise SWE & DevOps)
76.874.973.675.273.874.169.456.662.8
CyberGym (Pass@1)
cybergym-v1.0 (Defensive & patch verification)
91.690.189.090.288.489.186.084.583.6
Multimodal & Visual Reasoning (w/ Tools)
Chartography (w/tools)
chartography-v1.0 (Visual crop + Python)
86.885.484.285.185.686.082.476.278.4
BabyVision (w/tools)
babyvision-v1.0 (Fine-grained spatial)
95.494.693.894.594.895.092.888.489.6
ZeroBench-main (w/tools)
zerobench-main-v1.2 (Hard visual reasoning)
56.254.452.654.054.254.850.444.246.5
Evaluation Protocol & Reproducibility Notes
  • • Proprietary Hamugao Foundation Architecture: Hamugao 2 Fulgor, Hamugao 1 Pro, and Hamugao 1 Flash are proprietary foundation models developed and trained in-house by Hamugao AI. All other columns (Claude Opus 5.5, GPT-6.1 Sol, Gemini 4 Argon, Grok 4.7, GLM-5.3, and Kimi K3.1 Pro) represent external third-party frontier models evaluated under identical harness conditions for head-to-head comparison.
  • • Single Source of Truth (v2.5.0 (Late-2026 Frontier Reproducibility Release)): Both the homepage overview (/#benchmarks) and this technical report (/benchmarks) render directly from the canonical dataset to guarantee zero reporting drift across KPI cards, deltas, and table cells.
  • • Sampling & Decoding Parameters: Pass@1 (single trajectory, zero majority voting, temperature=0.6, top_p=0.95). Context window fixed at 1,048,576 tokens (1M native) with Max (High-effort multi-step verification).
  • • † Text-Only Subset: Values marked with † denote the text-only subset of Humanity's Last Exam (HLE).
  • • Multimodal Tool-Use: Chartography, BabyVision, and ZeroBench-main are evaluated with native Python interpreter + high-resolution visual crop tool calls enabled.
Model Checkpoints & Decoding Configuration
ColumnCheckpoint IDDecoding / Notes
Hamugao 2 Fulgorhamugao-2-fulgor (2026-10)Proprietary frontier multi-step reasoning & autonomous SWE architecture by Hamugao AI
Hamugao 1 Prohamugao-1-pro (2026-10)Proprietary daily driver for full-stack engineering & analysis by Hamugao AI
Hamugao 1 Flashhamugao-1-flash (2026-10)Proprietary low-latency reasoning & high-throughput coding model by Hamugao AI
Claude Opus 5.5claude-opus-5-5-202609Evaluated under identical Mini-SWE-V2 & Terminal-Bench 4.0 harnesses
GPT-6.1 Solgpt-6.1-sol-202610Evaluated under identical Pass@1 protocol (GPQA 94.1, DeepSWE 76.4)
Gemini 4 Argongemini-4-argon-202610Evaluated under identical Pass@1 protocol (GPQA 93.9, Codeforces 3474)
Grok 4.7grok-4.7-202610Evaluated under identical Pass@1 protocol
GLM-5.3glm-5.3-202609Reported / harness-verified Pass@1 scores
Kimi K3.1 Prokimi-k3.1-pro-202610Reported / harness-verified Pass@1 scores
Per-Benchmark Harness Versions & Scoring Protocols
Last verified: November 1, 2026
BenchmarkEvaluation Harness / DatasetScoring Metric & ProtocolFulgor vs Opus 5.5
GPQA Diamond (Pass@1)gpqa-eval-v1.0 (198 Diamond questions)Zero-shot Pass@1 (no external tools)94.8 vs 93.8
HLE w/o tools (Pass@1)hle-eval-v2026.02 (Full & Text-only †)Strict exact-match judge Pass@157.4 (58.9†) vs 56.8
HLE w/ tools (Pass@1)hle-eval-v2026.02 (Python + Search sandbox)Tool-augmented Pass@1 (max 32 turns)68.4 vs 66.9
MathArena Apex (Pass@1)matharena-apex-v1.2 (Olympiad & Putnam)Symbolic verifier Pass@171.4 vs 61.2
Codeforces (Rating)cf-live-sim-v2.0 (Div. 1 + Div. 2 contests)Elo rating under official time/memory limits3542 vs 3418
DeepSWE v1.1 (Resolved)Mini-SWE-V2 container harness (500 PR tasks)% Resolved (unit + regression test pass)81.4 vs 77.2
Terminal-Bench 4.0 (Pass@1)tbench-v4.0.0 Dockerized Linux CLIEnd-to-end state verification Pass@154.2 vs 52.4
Terminal-Bench 2.1 (Pass@1)tbench-v2.1.0 Standard CLI suiteEnd-to-end state verification Pass@193.4 vs 91.0
NL2Repo-Bench (Score)nl2repo-v1.0 (Zero-to-one repo synthesis)Functional test coverage & build score77.6 vs 76.1
ProgramBench (Almost@1)programbench-v1.1 (Full-stack architecture)Almost@1 (>=95% test suite pass)39.4 vs 38.1
Automation-Bench v1.0.6 (Pass@1)automation-bench-v1.0.6 (Multi-service CI/CD)Workflow completion Pass@165.8 vs 58.6
Agents' Last Exam (Pass@1)ale-v1.0 (Long-horizon autonomous tasks)Strict task completion Pass@139.8 vs 38.4
Apex Bench v1.1apex-bench-v1.1 (Enterprise SWE & DevOps)Composite resolution score76.8 vs 75.2
CyberGym (Pass@1)cybergym-v1.0 (Defensive & patch verification)Exploit mitigation + test pass@191.6 vs 90.2
Chartography (w/tools)chartography-v1.0 (Visual crop + Python)Pass@1 with visual inspection tools86.8 vs 85.1
BabyVision (w/tools)babyvision-v1.0 (Fine-grained spatial)Pass@1 with visual inspection tools95.4 vs 94.5
ZeroBench-main (w/tools)zerobench-main-v1.2 (Hard visual reasoning)Exact match Pass@1 with Python tools56.2 vs 54.0