Nova 2 Lite vs Gemini 3.7 Flash
Updated October 21, 2026. 31 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 31 shared
Decision reading
Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding.
Nova 2 Lite has the edge where output tokens cost 1.5x less.
Model ANova 2 LiteAmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved task
- Shared results
- 31
- Nova 2 Lite only
- 0
- Gemini 3.7 Flash only
- 81
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Gemini 3.7 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.7 Flash
Gemini 3.7 Flash leads, 39.6 against 13.4.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.7 Flash has a GPQA Diamond result, 93.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.7 Flash has a MMLU Pro result, 90.1%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.7 Flash has a Design Arena: websites result, 1304.
Directional only
Long documents
Listed context window
Gemini 3.7 Flash
Gemini 3.7 Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova 2 Lite
Nova 2 Lite $0.0015, Gemini 3.7 Flash $0.0026 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.7 Flash has the number, $1.78.
Directional only
At a glance
- Coding index
- Nova 2 Lite not benchmarked, Gemini 3.7 Flash 58.0 from 6 benchmarks.
- Widest category
- General, 26.9 points apart on average over 17 shared benchmarks.
- Widest single gap
- AA Coding Index: Nova 2 Lite 23.0 against Gemini 3.7 Flash 71.5, 48.5 points apart on a 0 to 100 scale.
- Output price
- Nova 2 Lite $2.50 against Gemini 3.7 Flash $3.75 per million output tokens, 1.5x apart.
- Context window
- Nova 2 Lite takes 1M tokens, Gemini 3.7 Flash 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Nova 2 Lite | Bars | Gemini 3.7 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 17 | ||
| All shared boards | 0 | 31 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 80.5% | Only Gemini 3.7 Flash measured |
| LMArena WebDev | Not measured | 1591 | Only Gemini 3.7 Flash measured |
| AA Coding Index | 23.0 | 71.5 | Gemini 3.7 Flash |
| LiveCodeBench (Vals AI) | Not measured | 88.7% | Only Gemini 3.7 Flash measured |
| SWE-bench Verified (Vals AI) | Not measured | 80.8% | Only Gemini 3.7 Flash measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 12.1% | Only Gemini 3.7 Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 70.4% | Only Gemini 3.7 Flash measured |
| Code migration (Vals AI) | Not measured | 34.8% | Only Gemini 3.7 Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.7 Flash measured |
| IOI (Vals AI) | Not measured | 67.8% | Only Gemini 3.7 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 77.5% | Only Gemini 3.7 Flash measured |
| SkillsBench (Vals AI) | Not measured | 65.9% | Only Gemini 3.7 Flash measured |
| CyberBench (Vals AI) | Not measured | 43.8% | Only Gemini 3.7 Flash measured |
| SciCode | Not measured | 59.8% | Only Gemini 3.7 Flash measured |
| FrontierCode | Not measured | 43.6% | Only Gemini 3.7 Flash measured |
| FrontierSWE | Not measured | 20.3% | Only Gemini 3.7 Flash measured |
| ALE-Bench | 236.3 | 904.3 | Gemini 3.7 Flash |
| LMArena Text: coding | 1385 | 1499 | Gemini 3.7 Flash |
| LMArena Text: software and IT | 1394 | 1498 | Gemini 3.7 Flash |
| LMArena WebDev: React | Not measured | 1587 | Only Gemini 3.7 Flash measured |
| LMArena WebDev: HTML | Not measured | 1593 | Only Gemini 3.7 Flash measured |
| LMArena WebDev: from an image | Not measured | 1599 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.4 | 39.6 | Gemini 3.7 Flash |
| Epoch Capabilities Index | Not measured | 158.0 | Only Gemini 3.7 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1223 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building full-stack apps | Not measured | 1208 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building mobile apps | Not measured | 1232 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Android apps | Not measured | 1248 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building Godot games | Not measured | 1264 | Only Gemini 3.7 Flash measured |
| Design Arena: agents building games | Not measured | 1235 | Only Gemini 3.7 Flash measured |
| Design Arena: spreadsheets | Not measured | 1022 | Only Gemini 3.7 Flash measured |
| LiveBench research | Not measured | 76.5% | Only Gemini 3.7 Flash measured |
| LiveBench browser | Not measured | 56.0% | Only Gemini 3.7 Flash measured |
| LiveBench long agentic | Not measured | 28.3% | Only Gemini 3.7 Flash measured |
| SREBench (Vals AI) | Not measured | 4.6% | Only Gemini 3.7 Flash measured |
| Finance Agent (Vals AI) | Not measured | 59.0% | Only Gemini 3.7 Flash measured |
| Tax Agent Bench (Vals AI) | Not measured | 22.8% | Only Gemini 3.7 Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 34.6% | Only Gemini 3.7 Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 71.3% | Only Gemini 3.7 Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 7.1% | Only Gemini 3.7 Flash measured |
| APEX-Agents | Not measured | 67.8% | Only Gemini 3.7 Flash measured |
| Remote Labor Index | Not measured | 5.0% | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 93.9% | Only Gemini 3.7 Flash measured |
| LiveBench reasoning | Not measured | 87.8% | Only Gemini 3.7 Flash measured |
| MMMU Pro (Vals AI) | Not measured | 89.0% | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 94.5% | Only Gemini 3.7 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 47.9% | Only Gemini 3.7 Flash measured |
| GPQA Diamond (Epoch AI run) | Not measured | 94.8% | Only Gemini 3.7 Flash measured |
| ARC-AGI | Not measured | 95.5% | Only Gemini 3.7 Flash measured |
| ARC-AGI-2 | Not measured | 84.6% | Only Gemini 3.7 Flash measured |
| Chess puzzles | Not measured | 66.0% | Only Gemini 3.7 Flash measured |
| Mystery game puzzles | Not measured | 37.0% | Only Gemini 3.7 Flash measured |
| LMArena Text: hard prompts | 1364 | 1495 | Gemini 3.7 Flash |
| LMArena Text: expert | 1359 | 1512 | Gemini 3.7 Flash |
| LMArena Text: hard prompts in English | 1385 | 1487 | Gemini 3.7 Flash |
| LMArena Vision: diagrams | Not measured | 1329 | Only Gemini 3.7 Flash measured |
| LMArena Vision: homework | Not measured | 1320 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 97.2% | Only Gemini 3.7 Flash measured |
| FrontierMath, tiers 1 to 3 | Not measured | 71.6% | Only Gemini 3.7 Flash measured |
| FrontierMath, tier 4 | Not measured | 36.6% | Only Gemini 3.7 Flash measured |
| ProofBench | Not measured | 58.0% | Only Gemini 3.7 Flash measured |
| LMArena Text: math | 1359 | 1511 | Gemini 3.7 Flash |
| LMArena Text: mathematical work | 1369 | 1502 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 90.1% | Only Gemini 3.7 Flash measured |
| LegalBench (Vals AI) | Not measured | 87.3% | Only Gemini 3.7 Flash measured |
| TaxEval (Vals AI) | Not measured | 74.7% | Only Gemini 3.7 Flash measured |
| MortgageTax (Vals AI) | Not measured | 66.7% | Only Gemini 3.7 Flash measured |
| MedCode (Vals AI) | Not measured | 53.4% | Only Gemini 3.7 Flash measured |
| SimpleQA Verified | Not measured | 69.2% | Only Gemini 3.7 Flash measured |
| LMArena Text: science | 1382 | 1511 | Gemini 3.7 Flash |
| LMArena Text: medicine and healthcare | 1386 | 1494 | Gemini 3.7 Flash |
| LMArena Text: legal and government | 1359 | 1496 | Gemini 3.7 Flash |
| LMArena Text: business and finance | 1369 | 1479 | Gemini 3.7 Flash |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1304 | Only Gemini 3.7 Flash measured |
| Design Arena: UI components | Not measured | 1299 | Only Gemini 3.7 Flash measured |
| Design Arena: game dev | Not measured | 1318 | Only Gemini 3.7 Flash measured |
| Design Arena: data viz | Not measured | 1314 | Only Gemini 3.7 Flash measured |
| Design Arena: 3D | Not measured | 1308 | Only Gemini 3.7 Flash measured |
| Design Arena: all code categories | Not measured | 1308 | Only Gemini 3.7 Flash measured |
| Design Arena: SVG | Not measured | 1283 | Only Gemini 3.7 Flash measured |
| Design Arena: ASCII art | Not measured | 1276 | Only Gemini 3.7 Flash measured |
| LiveBench design | Not measured | 73.2% | Only Gemini 3.7 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 68.0% | Only Gemini 3.7 Flash measured |
| SAGE (Vals AI) | Not measured | 49.2% | Only Gemini 3.7 Flash measured |
| MedScribe (Vals AI) | Not measured | 83.9% | Only Gemini 3.7 Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 83.0% | Only Gemini 3.7 Flash measured |
| DTBench | Not measured | 96.8% | Only Gemini 3.7 Flash measured |
| LMCA | Not measured | 50.4% | Only Gemini 3.7 Flash measured |
| Furniture assembly | Not measured | 26.7% | Only Gemini 3.7 Flash measured |
| LMArena Text | 1362 | 1489 | Gemini 3.7 Flash |
| LMArena Text: instruction following | 1335 | 1484 | Gemini 3.7 Flash |
| LMArena Text: creative writing | 1292 | 1488 | Gemini 3.7 Flash |
| LMArena Vision | Not measured | 1314 | Only Gemini 3.7 Flash measured |
| LMArena Text: English | 1385 | 1483 | Gemini 3.7 Flash |
| LMArena Text: non-English | 1337 | 1487 | Gemini 3.7 Flash |
| LMArena Text: Chinese | 1364 | 1552 | Gemini 3.7 Flash |
| LMArena Text: German | 1343 | 1506 | Gemini 3.7 Flash |
| LMArena Text: Japanese | 1273 | 1511 | Gemini 3.7 Flash |
| LMArena Text: Korean | 1281 | 1481 | Gemini 3.7 Flash |
| LMArena Text: French | 1381 | 1500 | Gemini 3.7 Flash |
| LMArena Text: Spanish | 1375 | 1495 | Gemini 3.7 Flash |
| LMArena Text: Russian | 1342 | 1515 | Gemini 3.7 Flash |
| LMArena Text: Polish | 1327 | 1503 | Gemini 3.7 Flash |
| LMArena Text: multi-turn | 1338 | 1485 | Gemini 3.7 Flash |
| LMArena Text: longer queries | 1335 | 1492 | Gemini 3.7 Flash |
| LMArena Text: writing and language | 1318 | 1491 | Gemini 3.7 Flash |
| LMArena Text: entertainment and media | 1309 | 1477 | Gemini 3.7 Flash |
| LMArena Vision: English | Not measured | 1309 | Only Gemini 3.7 Flash measured |
| LMArena Vision: Chinese | Not measured | 1394 | Only Gemini 3.7 Flash measured |
| LMArena Vision: reading text | Not measured | 1322 | Only Gemini 3.7 Flash measured |
| LMArena Vision: humor | Not measured | 1299 | Only Gemini 3.7 Flash measured |
| LMArena Vision: creative writing | Not measured | 1312 | Only Gemini 3.7 Flash measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova 2 Lite | Gemini 3.7 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Nova 2 Lite$0.0015Fits in one request
Gemini 3.7 Flash$0.0026Fits in one request
Nova 2 Lite costs less
Repository review
50K input + 3K output tokens
Nova 2 Lite$0.022Fits in one request
Gemini 3.7 Flash$0.049Fits in one request
Nova 2 Lite costs less
Agent loop
200K input + 10K output tokens
Nova 2 Lite$0.085Fits in one request
Gemini 3.7 Flash$0.188Fits in one request
Nova 2 Lite costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Amazon Nova 2 Lite | Google Gemini 3.7 Flash |
|---|---|---|
| Maker | Amazon | |
| Weights | No public weights listed | No public weights listed |
| Released | December 2, 2025 | August 13, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $0.30 | $0.75 |
| Output $/Mtok | $2.50 | $3.75 |
| Coding index | Not benchmarked | 58.0 |
| Independent measurements behind it | 0 | 6 |
| Cost per solved task | Not computable | $1.78 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova 2 Lite better than Gemini 3.7 Flash for coding?
Only Gemini 3.7 Flash has a coding score, 58.0 on the Vibe Coding Index; Nova 2 Lite has none, so the two cannot be ranked on coding. Nova 2 Lite has the edge where output tokens cost 1.5x less.
Which is cheaper, Nova 2 Lite or Gemini 3.7 Flash?
Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Gemini 3.7 Flash costs $0.75 and $3.75. Cost per solved task is known for Gemini 3.7 Flash only.
Which has the bigger context window, Nova 2 Lite or Gemini 3.7 Flash?
Gemini 3.7 Flash, with 1.05M tokens against 1M.
How many benchmarks is the Nova 2 Lite vs Gemini 3.7 Flash comparison based on?
31 benchmarks have a result for both models as of October 21, 2026. Nova 2 Lite's coding index rests on 0 independent benchmarks and Gemini 3.7 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.