Back to the index
Google DeepMind · Gemini
No. 14
Gemini 3.5 Flash
Fast, cheap multimodal workhorse with near-Pro quality.
Field notes
- Context window
- 1.0Mtokens
- Max output
- 66Ktokens
- Input price
- $1.50/ 1M tokens
- Output price
- $9/ 1M tokens
- Cached input
- $0.15/ 1M tokens
- Modalities
- Text, Image, Audio, Video, Pdf
- Knowledge cutoff
- Jan 2025
- Released
- May 2026
- Approx. speed
- —
Overview
What this model is
Gemini 3.5 Flash is Google's newest fast tier, balancing strong quality with low latency and a 1M-token context. Google markets it as beating the older Pro flagship on coding and agentic work, and it is an excellent-value multimodal workhorse. As with the wider Gemini line, its real-world reliability on long autonomous coding trails the Claude/GPT frontier even where benchmarks look competitive.
Strengths
- Excellent price-to-quality for high-volume work
- Fast multimodal (image/video/PDF) processing
- Full 1M-token context window
- Strong general reasoning for its tier
Trade-offs
- Agentic coding reliability below the frontier
- Weaker than Pro on the hardest reasoning
- Output capped at ~64K tokens
Best for
- High-volume multimodal pipelines
- Chat and summarization at scale
- Cost-sensitive general assistants
- Fast document and media understanding
Not ideal for
- Unsupervised long-horizon coding agents
- Frontier-hard reasoning problems
Capabilities
Capability profile
Normalized 0–100 scores, comparable across the whole catalog.
- Reasoning
- 83
- Coding
- 78
- Math
- 87
- Writing
- 83
- Knowledge
- 87
- Speed
- 88
- Agentic
- 75
- Vision
- 89
- Multilingual
- 87
- Long Context
- 90
Benchmarks
How it scores
Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.
Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
50/ 100
BenchmarkResult
Artificial Analysis Intelligence Indexindependent
GeneralArtificial Analysis
50%
SWE-bench Verifiedindependent
CodingSWE-bench
79.3%
GPQA Diamondindependent
ReasoningIndependent aggregators
82.8%
LiveBenchindependent
GeneralLiveBench
75%
DeepSWEindependent
CodingDatacurve
28%