Google DeepMindproprietary
Released: 2026-06-01Gemini 4 Argon
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...
Intelligence Index
88.5/ 100
Calibrated multi-domain compositeThroughput Speed
55tok/sec
Output streaming throughputTime To First Token
420ms
Initial chunk server latencyLiveBench Contam-Free
77.9%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning81.4%
Coding & Repo Repair79.7%
Mathematics (AIME)78.8%
Data Analysis & Tables75.2%
Language & Comprehension77.0%
Instruction Following77.9%
Sourced Benchmark Evaluations (61)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| ARC-AGI-3 | Active | 55.8% | 93 | 2026-07-06 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 66.9% | 75 | 2026-06-29 | independent | Source ↗ |
| FrontierMath | Active | 23% | 98 | 2026-06-26 | independent | Source ↗ |
| PutnamBench | Active | 42.8% | 90 | 2026-06-25 | independent | Source ↗ |
| SWE-Lancer | Deprecated | 57.2% | 20 | 2026-06-23 | independent | Source ↗ |
| Omni-MATH | Deprecated | 60.9% | 10 | 2026-06-23 | independent | Source ↗ |
| Soohak | Active | 62.5% | 98 | 2026-06-21 | independent | Source ↗ |
| FrontierCode | Active | 48.8% | 98 | 2026-06-21 | independent | Source ↗ |
| Humanity's Last Exam | Active | 37.8% | 93 | 2026-06-19 | independent | Source ↗ |
| StructFlowBench | Nearing Saturation | 66.2% | 75 | 2026-06-19 | independent | Source ↗ |
| AIME | Nearing Saturation | 78.2% | 75 | 2026-06-19 | independent | Source ↗ |
| OlympiadBench | Active | 67.5% | 80 | 2026-06-18 | independent | Source ↗ |
| MathArena | Active | 65.8% | 99 | 2026-06-17 | independent | Source ↗ |
| FireBench | Active | 65.4% | 95 | 2026-06-17 | independent | Source ↗ |
| Terminal-Bench | Active | 58.9% | 80 | 2026-06-17 | independent | Source ↗ |
| OpenAI-MRCR | Active | 74.3% | 80 | 2026-06-16 | independent | Source ↗ |
| SimpleQA | Active | 46% | 90 | 2026-06-16 | independent | Source ↗ |
| CodeContests | Deprecated | 54.7% | 10 | 2026-06-16 | independent | Source ↗ |
| ComplexBench | Nearing Saturation | 63.9% | 80 | 2026-06-15 | independent | Source ↗ |
| SWE-bench Pro | Active | 52.1% | 90 | 2026-06-15 | independent | Source ↗ |
| LongBench-Pro | Active | 72.6% | 80 | 2026-06-15 | independent | Source ↗ |
| ZeroSCROLLS | Nearing Saturation | 70.8% | 78 | 2026-06-14 | independent | Source ↗ |
| MultiPL-E | Deprecated | 77.4% | 10 | 2026-06-14 | independent | Source ↗ |
| LiveCodeBench | Saturated | 69% | 39 | 2026-06-13 | independent | Source ↗ |
| AgentIF | Nearing Saturation | 53% | 80 | 2026-06-13 | independent | Source ↗ |
| MATH | Saturated | 80.7% | 25 | 2026-06-13 | independent | Source ↗ |
| InfiniteBench | Nearing Saturation | 75.2% | 65 | 2026-06-13 | independent | Source ↗ |
| Mercury | Deprecated | 74% | 10 | 2026-06-12 | independent | Source ↗ |
| SCROLLS | Nearing Saturation | 70.8% | 65 | 2026-06-12 | independent | Source ↗ |
| MMLU-Pro | Nearing Saturation | 81.4% | 75 | 2026-06-12 | independent | Source ↗ |
| RULER | Nearing Saturation | 81.4% | 84 | 2026-06-11 | independent | Source ↗ |
| TabMWP | Saturated | 75.7% | 25 | 2026-06-11 | independent | Source ↗ |
| CyberSecEval | Deprecated | 75.7% | 10 | 2026-06-11 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 65.6% | 25 | 2026-06-10 | independent | Source ↗ |
| MMLU-Redux | Saturated | 86.7% | 25 | 2026-06-10 | independent | Source ↗ |
| QuALITY | Nearing Saturation | 77.9% | 78 | 2026-06-10 | independent | Source ↗ |
| LongBench | Nearing Saturation | 76.1% | 65 | 2026-06-09 | independent | Source ↗ |
| SWE-bench | Deprecated | 57.2% | 10 | 2026-06-09 | independent | Source ↗ |
| MGSM | Nearing Saturation | 78.2% | 65 | 2026-06-09 | independent | Source ↗ |
| AGIEval | Saturated | 73.8% | 25 | 2026-06-08 | independent | Source ↗ |
| QASPER | Nearing Saturation | 73.5% | 65 | 2026-06-08 | independent | Source ↗ |
| TruthfulQA | Saturated | 77.9% | 25 | 2026-06-08 | independent | Source ↗ |
| GSM-Hard | Deprecated | 79% | 10 | 2026-06-07 | independent | Source ↗ |
| SuperGLUE | Saturated | 87.5% | 25 | 2026-06-07 | independent | Source ↗ |
| CodeXGLUE | Deprecated | 79.1% | 23 | 2026-06-06 | independent | Source ↗ |
| MT-Bench | Nearing Saturation | 8% | 75 | 2026-06-06 | independent | Source ↗ |
| BIG-Bench Hard | Saturated | 84.1% | 25 | 2026-06-06 | independent | Source ↗ |
| WinoGrande | Saturated | 89.2% | 28 | 2026-06-05 | independent | Source ↗ |
| MBPP+ | Nearing Saturation | 85.8% | 65 | 2026-06-05 | independent | Source ↗ |
| IFEval | Deprecated | 76.3% | 25 | 2026-06-05 | independent | Source ↗ |
| GPQA | Nearing Saturation | 77.9% | 78 | 2026-06-05 | independent | Source ↗ |
| Needle-in-a-Haystack | Saturated | 97.7% | 44 | 2026-06-04 | independent | Source ↗ |
| HumanEval+ | Saturated | 90.8% | 25 | 2026-06-04 | independent | Source ↗ |
| CommonsenseQA | Saturated | 90.1% | 28 | 2026-06-04 | independent | Source ↗ |
| MBPP | Saturated | 89.1% | 25 | 2026-06-03 | independent | Source ↗ |
| GSM8K | Saturated | 88.9% | 25 | 2026-06-03 | independent | Source ↗ |
| GLUE | Saturated | 92.7% | 28 | 2026-06-03 | independent | Source ↗ |
| MMLU | Saturated | 90.3% | 25 | 2026-06-02 | independent | Source ↗ |
| HumanEval | Saturated | 95.9% | 25 | 2026-06-02 | independent | Source ↗ |
| ARC-AGI | Saturated | 80.7% | 25 | 2026-06-02 | independent | Source ↗ |
| LiveBench (Continuous) | Active | 77.9% | 94 | 2025-02-01 | independent | Source ↗ |
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="google-gemini-4-argon",
messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
temperature=0.2
)
print(response.choices[0].message.content)Evaluation & Sourcing Notes
Scores listed for Gemini 4 Argon represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.
All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.