Model comparison
Gemini 2.5 Flash-Lite vs Gemini 3.7 Flash
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 8.6× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
GoogleSummary
- They share 22 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Gemini 3.7 Flash in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 22.2.
- The biggest single-benchmark swing is DTBench: 62.8% for Gemini 2.5 Flash-Lite and 96.8% for Gemini 3.7 Flash.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
Side by side
| Gemini 2.5 Flash-Lite | Gemini 3.7 Flash | |
|---|---|---|
| Provider | ||
| Noometry Index | 37.0 | 59.8 |
| Released | 2025-06-17 | 2026-08-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 66K |
| Input $ / M tokens | $0.10 | $0.75 |
| Output $ / M tokens | $0.40 | $3.75 |
| Results tracked | 33 | 44 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 38.5 (#173), Gemini 3.7 Flash: 56.2 (#22)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Coding | 1373 | 1497 |
| ALE-Bench | 325.9 | 904.3 |
| DeepSWE | — | 65.5% |
| FrontierCode | — | 43.6% |
| LMArena WebDev | — | 1592 |
| FrontierSWE | — | 20.3% |
| SciCode | — | 59.8% |
| WeirdML | 35.2% | — |
Agentic & Tool Use Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 28.0 (#96), Gemini 3.7 Flash: 42.1 (#19)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| APEX-Agents | — | 67.8% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| Remote Labor Index | — | 5% |
| GDP.pdf | — | 23.8% |
Reasoning Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 22.2 (#205), Gemini 3.7 Flash: 70.0 (#15)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1494 |
| DTBench | 62.8% | 96.8% |
| LMCA | 18.1% | 50.4% |
| Epoch Capabilities Index | 133.94 | 157.27 |
| ARC-AGI-2 | — | 84.6% |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 94% |
| ARC-AGI-1 | — | 95.5% |
| CritPt | — | 14.3% |
| Chess Puzzles | — | 47% |
| Mystery Game Puzzles | — | 37% |
Math Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 38.0 (#144), Gemini 3.7 Flash: 69.6 (#23)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Math | 1373 | 1507 |
| FrontierMath (Tiers 1-3) | — | 71.6% |
| FrontierMath Tier 4 | — | 36.6% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 58% |
| Omni-MATH | 48% | — |
Knowledge Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 32.5 (#210), Gemini 3.7 Flash: 69.7 (#5)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Expert | 1373 | 1508 |
| GPQA Diamond | — | 94.8% |
| SimpleQA Verified | — | 69.2% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 29.1 (#114), Gemini 3.7 Flash: 37.3 (#73)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Vision | 1198 | 1316 |
| VPCT | 30% | — |
| Furniture Assembly | — | 26.7% |
Multilingual Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 49.3 (#134), Gemini 3.7 Flash: 57.6 (#7)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1369 | 1484 |
| LMArena Chinese | 1404 | 1548 |
| LMArena French | 1388 | 1505 |
| LMArena German | 1389 | 1498 |
| LMArena Japanese | 1359 | 1512 |
| LMArena Korean | 1360 | 1483 |
| LMArena Russian | 1373 | 1516 |
| LMArena Spanish | 1396 | 1503 |
Instruction Following Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 70.0 (#168), Gemini 3.7 Flash: 77.7 (#15)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1367 | 1483 |
| IFEval | 81% | — |
Long Context Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 33.3 (#262), Gemini 3.7 Flash: 45.7 (#30)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1373 | 1492 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference Gemini 3.7 Flash leads
Gemini 2.5 Flash-Lite: 56.8 (#135), Gemini 3.7 Flash: 71.2 (#20)
| Benchmark | Gemini 2.5 Flash-Lite | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text | 1379 | 1486 |
| LMArena Creative Writing | 1367 | 1490 |
| LMArena Multi-Turn | 1366 | 1489 |
| EQ-Bench Creative Writing | — | 1723 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Gemini 3.7 Flash?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 37.0 on the Noometry Index. Gemini 2.5 Flash-Lite costs 8.6× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Gemini 3.7 Flash?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Gemini 2.5 Flash-Lite or Gemini 3.7 Flash better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 38.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do Gemini 2.5 Flash-Lite and Gemini 3.7 Flash share?
22 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Gemini 3.7 Flash has 44.