Anthropicproprietary
Released: 2024-10-22Claude 3.5 Haiku
Anthropic rapid lightweight foundation model offering Claude 3 Opus-level performance at compact speed and cost.
Intelligence Index
76.5/ 100
Calibrated multi-domain compositeThroughput Speed
95tok/sec
Output streaming throughputTime To First Token
310ms
Initial chunk server latencyLiveBench Contam-Free
—%
September 2026 suite scoreSourced Benchmark Evaluations (2)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| ARC-AGI-2 | Nearing Saturation | 58.5% | 75 | 2024-11-19 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 48.6% | 25 | 2024-10-31 | independent | Source ↗ |
Anthropic Python SDKAPI Ready
import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
model="claude-3-5-haiku",
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 Haiku 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.