Anthropicproprietary
Released: 2025-02-24Claude 3.7 Sonnet
Anthropic hybrid reasoning flagship combining instantaneous response generation with multi-minute extended thinking (up to 64k tokens) and industry-leading software engineering benchmark scores.
Intelligence Index
92.5/ 100
Calibrated multi-domain compositeThroughput Speed
72tok/sec
Output streaming throughputTime To First Token
380ms
Initial chunk server latencyLiveBench Contam-Free
81.5%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning86.8%
Coding & Repo Repair83.2%
Mathematics (AIME)86.4%
Data Analysis & Tables79.2%
Language & Comprehension76.5%
Instruction Following77.0%
Sourced Benchmark Evaluations (61)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| ARC-AGI-3 | Active | 57.9% | 93 | 2025-03-31 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 69.5% | 75 | 2025-03-24 | independent | Source ↗ |
| FrontierMath | Active | 25.5% | 98 | 2025-03-21 | independent | Source ↗ |
| PutnamBench | Active | 47.3% | 90 | 2025-03-20 | independent | Source ↗ |
| SWE-Lancer | Deprecated | 60.2% | 20 | 2025-03-18 | independent | Source ↗ |
| Omni-MATH | Deprecated | 67.3% | 10 | 2025-03-18 | independent | Source ↗ |
| Soohak | Active | 69.2% | 98 | 2025-03-16 | independent | Source ↗ |
| FrontierCode | Active | 51.3% | 98 | 2025-03-16 | independent | Source ↗ |
| Humanity's Last Exam | Active | 39.2% | 93 | 2025-03-14 | independent | Source ↗ |
| StructFlowBench | Nearing Saturation | 65.5% | 75 | 2025-03-14 | independent | Source ↗ |
| AIME | Nearing Saturation | 86.5% | 75 | 2025-03-14 | independent | Source ↗ |
| OlympiadBench | Active | 74.6% | 80 | 2025-03-13 | independent | Source ↗ |
| MathArena | Active | 72.8% | 99 | 2025-03-12 | independent | Source ↗ |
| FireBench | Active | 64.7% | 95 | 2025-03-12 | independent | Source ↗ |
| Terminal-Bench | Active | 62% | 80 | 2025-03-12 | independent | Source ↗ |
| OpenAI-MRCR | Active | 77.7% | 80 | 2025-03-11 | independent | Source ↗ |
| SimpleQA | Active | 48.1% | 90 | 2025-03-11 | independent | Source ↗ |
| CodeContests | Deprecated | 57.5% | 10 | 2025-03-11 | independent | Source ↗ |
| ComplexBench | Nearing Saturation | 63.1% | 80 | 2025-03-10 | independent | Source ↗ |
| SWE-bench Pro | Active | 54.9% | 90 | 2025-03-10 | independent | Source ↗ |
| LongBench-Pro | Active | 75.9% | 80 | 2025-03-10 | independent | Source ↗ |
| ZeroSCROLLS | Nearing Saturation | 74% | 78 | 2025-03-09 | independent | Source ↗ |
| MultiPL-E | Deprecated | 81.4% | 10 | 2025-03-09 | independent | Source ↗ |
| LiveCodeBench | Saturated | 72.6% | 39 | 2025-03-08 | independent | Source ↗ |
| AgentIF | Nearing Saturation | 52.4% | 80 | 2025-03-08 | independent | Source ↗ |
| MATH | Saturated | 89.2% | 25 | 2025-03-08 | independent | Source ↗ |
| InfiniteBench | Nearing Saturation | 78.6% | 65 | 2025-03-08 | independent | Source ↗ |
| Mercury | Deprecated | 77.9% | 10 | 2025-03-07 | independent | Source ↗ |
| SCROLLS | Nearing Saturation | 74% | 65 | 2025-03-07 | independent | Source ↗ |
| MMLU-Pro | Nearing Saturation | 85.1% | 75 | 2025-03-07 | independent | Source ↗ |
| RULER | Nearing Saturation | 85.1% | 84 | 2025-03-06 | independent | Source ↗ |
| TabMWP | Saturated | 83.7% | 25 | 2025-03-06 | independent | Source ↗ |
| CyberSecEval | Deprecated | 79.7% | 10 | 2025-03-06 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 69% | 25 | 2025-03-05 | independent | Source ↗ |
| MMLU-Redux | Saturated | 90.6% | 25 | 2025-03-05 | independent | Source ↗ |
| QuALITY | Nearing Saturation | 81.4% | 78 | 2025-03-05 | independent | Source ↗ |
| LongBench | Nearing Saturation | 79.6% | 65 | 2025-03-04 | independent | Source ↗ |
| SWE-bench | Deprecated | 60.2% | 10 | 2025-03-04 | independent | Source ↗ |
| MGSM | Nearing Saturation | 86.5% | 65 | 2025-03-04 | independent | Source ↗ |
| AGIEval | Saturated | 76.6% | 25 | 2025-03-03 | independent | Source ↗ |
| QASPER | Nearing Saturation | 76.8% | 65 | 2025-03-03 | independent | Source ↗ |
| TruthfulQA | Saturated | 81.4% | 25 | 2025-03-03 | independent | Source ↗ |
| GSM-Hard | Deprecated | 87.4% | 10 | 2025-03-02 | independent | Source ↗ |
| SuperGLUE | Saturated | 90.9% | 25 | 2025-03-02 | independent | Source ↗ |
| CodeXGLUE | Deprecated | 83.2% | 23 | 2025-03-01 | independent | Source ↗ |
| MT-Bench | Nearing Saturation | 7.9% | 75 | 2025-03-01 | independent | Source ↗ |
| BIG-Bench Hard | Saturated | 87.3% | 25 | 2025-03-01 | independent | Source ↗ |
| WinoGrande | Saturated | 92.7% | 28 | 2025-02-28 | independent | Source ↗ |
| MBPP+ | Nearing Saturation | 90.3% | 65 | 2025-02-28 | independent | Source ↗ |
| IFEval | Deprecated | 75.5% | 25 | 2025-02-28 | independent | Source ↗ |
| GPQA | Nearing Saturation | 81.4% | 78 | 2025-02-28 | independent | Source ↗ |
| Needle-in-a-Haystack | Saturated | 98.5% | 44 | 2025-02-27 | independent | Source ↗ |
| HumanEval+ | Saturated | 95.6% | 25 | 2025-02-27 | independent | Source ↗ |
| CommonsenseQA | Saturated | 93.6% | 28 | 2025-02-27 | independent | Source ↗ |
| MBPP | Saturated | 93.8% | 25 | 2025-02-26 | independent | Source ↗ |
| GSM8K | Saturated | 98.3% | 25 | 2025-02-26 | independent | Source ↗ |
| GLUE | Saturated | 96.2% | 28 | 2025-02-26 | independent | Source ↗ |
| MMLU | Saturated | 94.4% | 25 | 2025-02-25 | independent | Source ↗ |
| HumanEval | Saturated | 100% | 25 | 2025-02-25 | independent | Source ↗ |
| ARC-AGI | Saturated | 83.8% | 25 | 2025-02-25 | independent | Source ↗ |
| LiveBench (Continuous) | Active | 81.5% | 94 | 2025-02-01 | independent | Source ↗ |
Anthropic Python SDKAPI Ready
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model="claude-3-7-sonnet",
max_tokens=2048,
temperature=0,
messages=[{"role": "user", "content": "Execute SWE-bench verified repository fix"}]
)
print(message.content[0].text)Evaluation & Sourcing Notes
Scores listed for Claude 3.7 Sonnet 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.