Google DeepMindproprietary
Released: 2022-02-02

AlphaCode 41B (test set, 10@100k, no clustering)

AI Model evaluated in benchmark studies from Google DeepMind.

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

Sourced Benchmark Evaluations (1)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
CodeContestsDeprecated27.7%
10
2022-02-02vendor-reportedSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="alphacode-41b-test-set-10-100k-no-clustering",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for AlphaCode 41B (test set, 10@100k, no clustering) 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.