Compare · ModelsLive · 2 picked · head to head
Gemini 2.5 Flash Lite vs Gemini 3.5 Flash
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3.5 Flash wins on 6/6 benchmarks
Gemini 3.5 Flash wins 6 of 6 shared benchmarks. Leads in speed · general · coding.
Category leads
speed·Gemini 3.5 Flashgeneral·Gemini 3.5 Flashcoding·Gemini 3.5 Flash
Hype vs Reality
Attention vs performance
Gemini 2.5 Flash Lite
#130 by perf·no signal
Gemini 3.5 Flash
#82 by perf·#4 by attention
Best value
Gemini 2.5 Flash Lite
18.6x better value than Gemini 3.5 Flash
Gemini 2.5 Flash Lite
194.4 pts/$
$0.25/M
Gemini 3.5 Flash
10.4 pts/$
$5.25/M
Vendor risk
Who is behind the model
Google DeepMind
$4.29T·Tier 1
Google DeepMind
$4.29T·Tier 1
Head to head
6 benchmarks · 2 models
Gemini 2.5 Flash LiteGemini 3.5 Flash
Artificial Analysis · Agentic Index
Gemini 3.5 Flash leads by +25.8
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Gemini 2.5 Flash Lite
11.7
Gemini 3.5 Flash
37.5
Artificial Analysis · Coding Index
Gemini 3.5 Flash leads by +52.0
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Gemini 2.5 Flash Lite
18.1
Gemini 3.5 Flash
70.1
Artificial Analysis · Quality Index
Gemini 3.5 Flash leads by +28.6
Gemini 2.5 Flash Lite
21.6
Gemini 3.5 Flash
50.2
Dtbench
Gemini 3.5 Flash leads by +53.1
Gemini 2.5 Flash Lite
38.0
Gemini 3.5 Flash
91.1
Lmca
Gemini 3.5 Flash leads by +34.2
Gemini 2.5 Flash Lite
21.3
Gemini 3.5 Flash
55.5
WeirdML
Gemini 3.5 Flash leads by +27.4
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 2.5 Flash Lite
35.2
Gemini 3.5 Flash
62.6
Full benchmark table
| Benchmark | Gemini 2.5 Flash Lite | Gemini 3.5 Flash |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 11.7 | 37.5 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 18.1 | 70.1 |
Artificial Analysis · Quality Index | 21.6 | 50.2 |
Dtbench | 38.0 | 91.1 |
Lmca | 21.3 | 55.5 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 35.2 | 62.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.10 | $0.40 | 1.0M tokens (~524 books) | $1.75 | |
| $1.50 | $9.00 | 1.0M tokens (~524 books) | $33.75 |