vs
0:1
overall capability wins (1 ties across 2 scored). Gemini 3.5 Flash-Lite leads overall.
- Pricing3:0
- Speed0:2
- Specs0:1
Verdict
Gemini 3.5 Flash-Lite offers larger context (1.0M vs 1M); Gemini 2.0 Flash Thinking is ~4.9x cheaper on a blended token basis than Gemini 3.5 Flash-Lite.
- Gemini 3.5 Flash-Lite offers larger context (1.0M vs 1M)
- Gemini 2.0 Flash Thinking is ~4.9x cheaper on a blended token basis than Gemini 3.5 Flash-Lite
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Gemini 2.0 Flash Thinking
- $0.20
- Gemini 3.5 Flash-Lite
- $0.93
Gemini 2.0 Flash Thinking is about 4.6x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Family
Gemini
Gemini
License
Proprietary
Proprietary
Open weights
No
No
Release
Dec 19, 2024
Jul 21, 2026
Knowledge cutoff
-
-
API / provider
Modalities
text, image → text
text, image, audio, video → text
Specs
Context window
1M
1.0M
Max output
66K
66K
Parameters
—
—
Pricing
Input $/1M
$0.10
$0.30
Output $/1M
$0.40
$2.50
Blended $/1M (3∶1)
$0.18
$0.85
Speed
tok/s
90
220
TTFT (s)
1.5
0.18
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
83.8
Humanity's Last Exam
—
18.8
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
—
AA-Omniscience Accuracy
—
29.5
AA-LCR v1.1
—
76.0
CritPt
—
—
MMMU-Pro
—
79.0
IFBench
—
—
Chartography
—
—
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
—
—
SWE-bench Pro
—
—
SWE-bench Multilingual
—
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
53.6
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
41.3
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
—
1,447
Terminal-Bench 4.0
—
—
CursorBench 4.0
—
—
FrontierCode v1.1 (Main)
—
—
Arena
LMArena Elo
—
1,456
| Metric | Gemini 2.0 Flash Thinking | Gemini 3.5 Flash-Lite | Delta |
|---|---|---|---|
| Identity | |||
| Organization | — | ||
| Family | Gemini | Gemini | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Dec 19, 2024 | Jul 21, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | — | ||
| Modalities | text, image → text | text, image, audio, video → text | — |
| Specs | |||
| Context window | 1M | 1.0M | B +49K |
| Max output | 66K | 66K | tie |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $0.10 | $0.30 | A +$0.20 |
| Output $/1M | $0.40 | $2.50 | A +$2.10 |
| Blended $/1M (3∶1) | $0.18 | $0.85 | A +$0.67 |
| Speed | |||
| tok/s | 90 | 220 | B +130 |
| TTFT (s) | 1.5 | 0.18 | B +1.32 |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | 83.8 | — |
| Humanity's Last Exam | — | 18.8 | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | — | — |
| AA-Omniscience Accuracy | — | 29.5 | — |
| AA-LCR v1.1 | — | 76.0 | — |
| CritPt | — | — | — |
| MMMU-Pro | — | 79.0 | — |
| IFBench | — | — | — |
| Chartography | — | — | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | — | — | — |
| SWE-bench Pro | — | — | — |
| SWE-bench Multilingual | — | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | 53.6 | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | 41.3 | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | — | 1,447 | — |
| Terminal-Bench 4.0 | — | — | — |
| CursorBench 4.0 | — | — | — |
| FrontierCode v1.1 (Main) | — | — | — |
| Arena | |||
| LMArena Elo | — | 1,456 | — |
Gemini 2.0 Flash Thinking
- Context
- 1M / 66K out
- Parameters
- —
- Price
- $0.10 / $0.40
- Speed
- 90 tok/s · 1.5s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Experimental thinking variant of 2.0 Flash with visible intermediate reasoning for STEM tasks.
Gemini 3.5 Flash-Lite
- Context
- 1.0M / 66K out
- Parameters
- —
- Price
- $0.30 / $2.50
- Speed
- 220 tok/s · 0.18s TTFT
- Modalities
- text, image, audio, video → text
- License
- Proprietary
GA cost-efficient Flash-Lite for high-volume agentic subtasks, translation, and simple data processing.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.