Google DeepMindproprietary
Released: 2025-03-25

Gemini 2.5 Pro

DeepMind advanced thinking model with native multimodal verification and integrated tool use.

Intelligence Index
91.2/ 100
Calibrated multi-domain composite
Throughput Speed
85tok/sec
Output streaming throughput
Time To First Token
320ms
Initial chunk server latency
LiveBench Contam-Free
81.0%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning86.5%
Coding & Repo Repair82.0%
Mathematics (AIME)86.0%
Data Analysis & Tables78.5%
Language & Comprehension76.2%
Instruction Following77.0%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation68.6%
75
2025-04-22independentSource ↗
SWE-bench VerifiedSaturated65.7%
25
2025-04-03independentSource ↗
IFEvalDeprecated77%
25
2025-03-29independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gemini-2-5-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 2.5 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.