Gemini 3.5 Flash Lite vs GPT-5.4 Nano
Gemini 3.5 Flash Lite leads GPT-5.4 Nano on coding, 49.0 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 2.0x less per output token ($1.25 vs $2.50 per million). Updated October 22, 2026; 76 benchmarks have a result for both.
Gemini 3.5 Flash Lite or GPT-5.4 Nano: which to pick
Pick Gemini 3.5 Flash Lite for coding: it scores 49.0 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.
Pick GPT-5.4 Nano for output tokens 2.0x cheaper ($1.25 vs $2.50 per million) and a lower cost per solved task ($0.14 against $0.41).
- Shared results
- 76
- Gemini 3.5 Flash Lite only
- 9
- GPT-5.4 Nano only
- 9
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite scores 49.0 against 44.8.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 22.2 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.4 Nano
GPT-5.4 Nano leads, 16.0 against 14.3.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 83.8% against 77.5%.
Same board, both measured
Math
AIME
No call
Only GPT-5.4 Nano has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 85.8% against 77.2%.
Same board, both measured
Long documents
Listed context window
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
Gemini 3.5 Flash Lite $0.0015, GPT-5.4 Nano $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Nano
Gemini 3.5 Flash Lite $0.41, GPT-5.4 Nano $0.14.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
- Widest category
- General, 11.4 points apart on average over 28 shared benchmarks.
- Widest single gap
- Chess puzzles: Gemini 3.5 Flash Lite 21.0% against GPT-5.4 Nano 45.0%, 24.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against GPT-5.4 Nano $1.25 per million output tokens, 2.0x apart.
- Context window
- Gemini 3.5 Flash Lite takes 1.05M tokens, GPT-5.4 Nano 400K.
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 | Gemini 3.5 Flash Lite | Bars | GPT-5.4 Nano | Ties |
|---|---|---|---|---|
| Coding | 5 | 6 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 3 | 2 | ||
| Reasoning | 12 | 2 | ||
| Math | 3 | 3 | ||
| Knowledge | 9 | 1 | ||
| General | 26 | 2 | ||
| All shared boards | 59 | 17 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index56
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| LMArena WebDev | 1435 | Not measured | Only Gemini 3.5 Flash Lite measured |
| AA Coding Index | 49.3 | 56.1 | GPT-5.4 Nano |
| LiveCodeBench (Vals AI) | 79.0% | 84.0% | GPT-5.4 Nano |
| SWE-bench Verified (Vals AI) | 75.0% | 69.8% | Gemini 3.5 Flash Lite |
| Vibe Code Bench (Vals AI) | 37.2% | 26.1% | Gemini 3.5 Flash Lite |
| Code migration (Vals AI) | 6.2% | 14.5% | GPT-5.4 Nano |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 41.6% | Gemini 3.5 Flash Lite |
| CyberBench (Vals AI) | 59.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 41.3% | 47.2% | GPT-5.4 Nano |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only GPT-5.4 Nano measured |
| WeirdML | 39.0% | 49.2% | GPT-5.4 Nano |
| ALE-Bench | 765.3 | 1004.5 | GPT-5.4 Nano |
| LMArena Text: coding | 1453 | 1404 | Gemini 3.5 Flash Lite |
| LMArena Text: software and IT | 1451 | 1402 | Gemini 3.5 Flash Lite |
| LMArena WebDev: React | 1408 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena WebDev: from an image | 1448 | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 6.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 20.7 | Gemini 3.5 Flash Lite |
| Epoch Capabilities Index | 144.9 | 146.0 | GPT-5.4 Nano |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | 16.0 | GPT-5.4 Nano |
| Finance Agent (Vals AI) | 47.4% | 38.2% | Gemini 3.5 Flash Lite |
| Tax Agent Bench (Vals AI) | 7.2% | 5.0% | Gemini 3.5 Flash Lite |
| Legal Research Bench (Vals AI) | 13.9% | 6.3% | Gemini 3.5 Flash Lite |
| Excel Modeling Benchmark (Vals AI) | 43.2% | 44.8% | GPT-5.4 Nano |
| τ²-Bench Telecom | Not measured | 76.0% | Only GPT-5.4 Nano measured |
| APEX-Agents | 29.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index122
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | 77.5% | Gemini 3.5 Flash Lite |
| MMMU Pro (Vals AI) | 83.6% | 73.6% | Gemini 3.5 Flash Lite |
| GPQA Diamond (Artificial Analysis run) | 83.8% | 81.7% | Gemini 3.5 Flash Lite |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 28.3% | GPT-5.4 Nano |
| GPQA Diamond (Epoch AI run) | 83.3% | 78.5% | Gemini 3.5 Flash Lite |
| ARC-AGI | 53.5% | 51.5% | Gemini 3.5 Flash Lite |
| ARC-AGI-2 | 10.3% | 5.7% | Gemini 3.5 Flash Lite |
| Chess puzzles | 21.0% | 45.0% | GPT-5.4 Nano |
| Mystery game puzzles | 19.0% | 9.0% | Gemini 3.5 Flash Lite |
| LMArena Text: hard prompts | 1441 | 1381 | Gemini 3.5 Flash Lite |
| LMArena Text: expert | 1434 | 1396 | Gemini 3.5 Flash Lite |
| LMArena Text: hard prompts in English | 1440 | 1387 | Gemini 3.5 Flash Lite |
| LMArena Vision: diagrams | 1284 | 1210 | Gemini 3.5 Flash Lite |
| LMArena Vision: homework | 1291 | 1225 | Gemini 3.5 Flash Lite |
| Kagi LLM Benchmark | Not measured | 39.7% | Only GPT-5.4 Nano measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AIME | Not measured | 88.8% | Only GPT-5.4 Nano measured |
| OTIS Mock AIME | 71.1% | 87.8% | GPT-5.4 Nano |
| FrontierMath, tiers 1 to 3 | 26.0% | 44.9% | GPT-5.4 Nano |
| FrontierMath, tier 4 | 0.0% | 12.2% | GPT-5.4 Nano |
| ProofBench | 13.0% | 5.0% | Gemini 3.5 Flash Lite |
| LMArena Text: math | 1434 | 1405 | Gemini 3.5 Flash Lite |
| LMArena Text: mathematical work | 1433 | 1409 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 77.2% | Gemini 3.5 Flash Lite |
| LegalBench (Vals AI) | 84.1% | 77.9% | Gemini 3.5 Flash Lite |
| CaseLaw (Vals AI) | Not measured | 51.9% | Only GPT-5.4 Nano measured |
| CorpFin (Vals AI) | 60.7% | 61.2% | GPT-5.4 Nano |
| TaxEval (Vals AI) | 72.6% | 67.4% | Gemini 3.5 Flash Lite |
| MortgageTax (Vals AI) | 68.7% | 59.1% | Gemini 3.5 Flash Lite |
| MedCode (Vals AI) | 43.5% | 41.0% | Gemini 3.5 Flash Lite |
| SimpleQA Verified | Not measured | 11.7% | Only GPT-5.4 Nano measured |
| LMArena Text: science | 1451 | 1374 | Gemini 3.5 Flash Lite |
| LMArena Text: medicine and healthcare | 1438 | 1369 | Gemini 3.5 Flash Lite |
| LMArena Text: legal and government | 1431 | 1368 | Gemini 3.5 Flash Lite |
| LMArena Text: business and finance | 1423 | 1366 | Gemini 3.5 Flash Lite |
| FACTS Benchmark Suite | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 5 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index262
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SAGE (Vals AI) | 47.3% | 38.1% | Gemini 3.5 Flash Lite |
| MedScribe (Vals AI) | 70.9% | 77.1% | GPT-5.4 Nano |
| Vals Multimodal Index | Not measured | 47.6% | Only GPT-5.4 Nano measured |
| IFBench | Not measured | 75.9% | Only GPT-5.4 Nano measured |
| Long context reasoning (AA-LCR) | 76.0% | 76.7% | GPT-5.4 Nano |
| DTBench | 83.5% | 80.3% | Gemini 3.5 Flash Lite |
| LMCA | 37.6% | 36.9% | Gemini 3.5 Flash Lite |
| LMArena Text | 1435 | 1372 | Gemini 3.5 Flash Lite |
| LMArena Text: instruction following | 1419 | 1362 | Gemini 3.5 Flash Lite |
| LMArena Text: creative writing | 1421 | 1315 | Gemini 3.5 Flash Lite |
| LMArena Vision | 1269 | 1196 | Gemini 3.5 Flash Lite |
| LMArena Text: English | 1438 | 1381 | Gemini 3.5 Flash Lite |
| LMArena Text: non-English | 1427 | 1359 | Gemini 3.5 Flash Lite |
| LMArena Text: Chinese | 1468 | 1391 | Gemini 3.5 Flash Lite |
| LMArena Text: German | 1454 | 1368 | Gemini 3.5 Flash Lite |
| LMArena Text: Japanese | 1426 | 1343 | Gemini 3.5 Flash Lite |
| LMArena Text: Korean | 1407 | 1321 | Gemini 3.5 Flash Lite |
| LMArena Text: French | 1451 | 1395 | Gemini 3.5 Flash Lite |
| LMArena Text: Spanish | 1441 | 1371 | Gemini 3.5 Flash Lite |
| LMArena Text: Russian | 1443 | 1363 | Gemini 3.5 Flash Lite |
| LMArena Text: Polish | 1437 | 1366 | Gemini 3.5 Flash Lite |
| LMArena Text: multi-turn | 1445 | 1382 | Gemini 3.5 Flash Lite |
| LMArena Text: longer queries | 1435 | 1365 | Gemini 3.5 Flash Lite |
| LMArena Text: writing and language | 1428 | 1338 | Gemini 3.5 Flash Lite |
| LMArena Text: entertainment and media | 1414 | 1325 | Gemini 3.5 Flash Lite |
| LMArena Vision: English | 1269 | 1202 | Gemini 3.5 Flash Lite |
| LMArena Vision: Chinese | 1311 | 1232 | Gemini 3.5 Flash Lite |
| LMArena Vision: reading text | 1280 | 1204 | Gemini 3.5 Flash Lite |
| LMArena Vision: humor | 1287 | 1161 | Gemini 3.5 Flash Lite |
| LMArena Vision: recognizing things | Not measured | 1141 | Only GPT-5.4 Nano measured |
| LMArena Vision: creative writing | 1260 | 1159 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GPT-5.4 Nano | 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
GPT-5.4 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Nano 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 | Google Gemini 3.5 Flash Lite | OpenAI GPT-5.4 Nano |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | July 21, 2026 | March 17, 2026 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $0.30 | $0.20 |
| Output $/Mtok | $2.50 | $1.25 |
| Coding index | 49.0 | 44.8 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $0.41 | $0.14 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than GPT-5.4 Nano for coding?
Pick Gemini 3.5 Flash Lite for coding: it scores 49.0 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 2.0x cheaper ($1.25 vs $2.50 per million) and a lower cost per solved task ($0.14 against $0.41).
Which is cheaper, Gemini 3.5 Flash Lite or GPT-5.4 Nano?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and GPT-5.4 Nano $0.14.
Which has the bigger context window, Gemini 3.5 Flash Lite or GPT-5.4 Nano?
Gemini 3.5 Flash Lite, with 1.05M tokens against 400K.
How many benchmarks is the Gemini 3.5 Flash Lite vs GPT-5.4 Nano comparison based on?
76 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 independent benchmarks and GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.