Google DeepMindproprietary
Released: 2024-05-14

Gemini 1.5 Pro

Google 2 million token long-context foundation model processing books, hour-long video, and entire repositories.

Intelligence Index
77.5/ 100
Calibrated multi-domain composite
Throughput Speed
55tok/sec
Output streaming throughput
Time To First Token
520ms
Initial chunk server latency
LiveBench Contam-Free
64.1%
September 2026 suite score

Sourced Benchmark Evaluations (2)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
StructFlowBenchNearing Saturation95%
75
2025-02-20independentSource ↗
MMLU-ProNearing Saturation69%
75
2024-05-14independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gemini-1-5-pro",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Gemini 1.5 Pro 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.