Anthropicproprietary
Released: 2024-10-22Claude 3.5 Sonnet
Industry-standard coding and software engineering model that established SWE-bench leadership.
Intelligence Index
84.6/ 100
Calibrated multi-domain compositeThroughput Speed
75tok/sec
Output streaming throughputTime To First Token
420ms
Initial chunk server latencyLiveBench Contam-Free
69.8%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning85.0%
Coding & Repo Repair72.8%
Mathematics (AIME)78.4%
Data Analysis & Tables77.8%
Language & Comprehension83.4%
Instruction Following89.5%
Sourced Benchmark Evaluations (6)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| StructFlowBench | Nearing Saturation | 94% | 75 | 2025-02-20 | independent | Source ↗ |
| Humanity's Last Exam | Active | 4.3% | 90 | 2025-01-24 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 66.3% | 75 | 2024-11-19 | independent | Source ↗ |
| SimpleQA | Active | 28.9% | 90 | 2024-11-07 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 55.3% | 25 | 2024-10-31 | independent | Source ↗ |
| IFEval | Deprecated | 89.5% | 25 | 2024-10-26 | independent | Source ↗ |
Anthropic Python SDKAPI Ready
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model="claude-3-5-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 3.5 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.