Google DeepMindproprietary
Released: 2025-02-05

Gemini 2.0 Flash

High-throughput frontier multimodal model reaching 185 tokens/second with 1M context window and native audio/video processing.

Intelligence Index
82.1/ 100
Calibrated multi-domain composite
Throughput Speed
185tok/sec
Output streaming throughput
Time To First Token
280ms
Initial chunk server latency
LiveBench Contam-Free
67.5%
September 2026 suite score

LiveBench Multi-Domain Evaluation Breakdown

Monthly refreshed contamination-free test sets
Logical Reasoning82.0%
Coding & Repo Repair68.4%
Mathematics (AIME)79.1%
Data Analysis & Tables75.0%
Language & Comprehension80.5%
Instruction Following88.7%

Sourced Benchmark Evaluations (3)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-2Nearing Saturation64%
75
2025-03-05independentSource ↗
SWE-bench VerifiedSaturated52%
25
2025-02-14independentSource ↗
IFEvalDeprecated88.7%
25
2025-02-09independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gemini-2-0-flash",
    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 2.0 Flash 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.