Anthropicproprietary
Released: 2024-03-04

Claude 3 Opus

Anthropic original 2024 frontier model with rich nuance, deep context comprehension, and complex writing.

Intelligence Index
78.0/ 100
Calibrated multi-domain composite
Throughput Speed
30tok/sec
Output streaming throughput
Time To First Token
680ms
Initial chunk server latency
LiveBench Contam-Free
—%
September 2026 suite score

Sourced Benchmark Evaluations (23)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
SimpleQAActive23.5%
90
2024-11-07independentSource ↗
StructFlowBenchNearing Saturation61%
75
2024-03-22independentSource ↗
FireBenchActive60.3%
95
2024-03-20independentSource ↗
OpenAI-MRCRActive65.5%
80
2024-03-19independentSource ↗
ComplexBenchNearing Saturation58.8%
80
2024-03-18independentSource ↗
LongBench-ProActive64%
80
2024-03-18independentSource ↗
ZeroSCROLLSNearing Saturation62.4%
78
2024-03-17independentSource ↗
InfiniteBenchNearing Saturation66.3%
65
2024-03-16independentSource ↗
AgentIFNearing Saturation48.8%
80
2024-03-16independentSource ↗
SCROLLSNearing Saturation62.4%
65
2024-03-15independentSource ↗
RULERNearing Saturation71.8%
84
2024-03-14independentSource ↗
MMLU-ReduxSaturated76.4%
25
2024-03-13independentSource ↗
QuALITYNearing Saturation68.6%
78
2024-03-13independentSource ↗
LongBenchNearing Saturation67.1%
65
2024-03-12independentSource ↗
QASPERNearing Saturation64.7%
65
2024-03-11independentSource ↗
TruthfulQASaturated68.6%
25
2024-03-11independentSource ↗
MT-BenchNearing Saturation7.4%
75
2024-03-09independentSource ↗
IFEvalDeprecated70.3%
25
2024-03-08independentSource ↗
GPQANearing Saturation68.6%
78
2024-03-08independentSource ↗
Needle-in-a-HaystackSaturated95.6%
44
2024-03-07independentSource ↗
MMLUSaturated86.8%
25
2024-03-04vendor-reportedSource ↗
MMLU-ProNearing Saturation68.5%
75
2024-03-04independentSource ↗
HellaSwagSaturated95.4%
28
2024-03-04vendor-reportedSource ↗
Anthropic Python SDKAPI Ready
import anthropic

client = anthropic.Anthropic()
message = client.messages.create(
    model="claude-3-opus",
    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 Opus 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.