Anthropicproprietary
Released: 2025-02-24

Claude 3.7 Sonnet

Anthropic hybrid reasoning model seamlessly combining instantaneous token generation with extended test-time thinking.

Intelligence Index
92.5/ 100
Calibrated multi-domain composite
Throughput Speed
72tok/sec
Output streaming throughput
Time To First Token
380ms
Initial chunk server latency
LiveBench Contam-Free
81.5%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning86.8%
Coding & Repo Repair83.2%
Mathematics (AIME)86.4%
Data Analysis & Tables79.2%
Language & Comprehension76.5%
Instruction Following77.0%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation69.5%
75
2025-03-24independentSource ↗
SWE-bench VerifiedSaturated67.3%
25
2025-03-05independentSource ↗
IFEvalDeprecated77%
25
2025-02-28independentSource ↗
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.