Gemini 3.5 Flash Lite vs GPT-4.1
Gemini 3.5 Flash Lite leads GPT-4.1 on the Artificial Analysis Intelligence Index, 22.2 to 12.7, and Gemini 3.5 Flash Lite costs 3.2x less per output token ($2.50 vs $8.00 per million). Updated October 21, 2026; 61 benchmarks have a result for both.
Gemini 3.5 Flash Lite or GPT-4.1: which to pick
Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; GPT-4.1 has none, so the two cannot be ranked on coding.
Pick GPT-4.1 for a lower cost per solved task ($0.37 against $0.41) and work measured by WeirdML or CorpFin (Vals AI), where it leads.
- Shared results
- 61
- Gemini 3.5 Flash Lite only
- 24
- GPT-4.1 only
- 31
- Like-for-like categories
- 6 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
No call
Only Gemini 3.5 Flash Lite has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 22.2 against 12.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.5 Flash Lite has a AA Agentic Index result, 14.3.
Directional only
Reasoning
GPQA Diamond
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 83.8% against 65.4%.
Same board, both measured
Math
AIME
No call
Only GPT-4.1 has a AIME result, 39.6%.
Directional only
Knowledge
MMLU Pro
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite leads, 85.8% against 80.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-4.1 has a Design Arena: websites result, 1039.
Directional only
Long documents
Listed context window
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.0015, GPT-4.1 $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-4.1
Gemini 3.5 Flash Lite $0.41, GPT-4.1 $0.37.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, GPT-4.1 not benchmarked.
- Widest category
- Math, 19.0 points apart on average over 4 shared benchmarks.
- Widest single gap
- ARC-AGI: Gemini 3.5 Flash Lite 53.5% against GPT-4.1 5.5%, 48.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against GPT-4.1 $8.00 per million output tokens, 3.2x apart.
- Context window
- Gemini 3.5 Flash Lite takes 1.05M tokens, GPT-4.1 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 | Gemini 3.5 Flash Lite | Bars | GPT-4.1 | Ties |
|---|---|---|---|---|
| Coding | 5 | 1 | ||
| Intelligence | 2 | 0 | ||
| Reasoning | 13 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 8 | 2 | ||
| General | 26 | 0 | ||
| All shared boards | 58 | 3 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 52.4% | Only GPT-4.1 measured |
| SWE-bench Verified | Not measured | 39.6% | Only GPT-4.1 measured |
| SWE-bench Multimodal | Not measured | 31.1% | Only GPT-4.1 measured |
| LMArena WebDev | 1435 | Not measured | Only Gemini 3.5 Flash Lite measured |
| AA Coding Index | 49.3 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveCodeBench (Vals AI) | 79.0% | 54.7% | Gemini 3.5 Flash Lite |
| SWE-bench Verified (Vals AI) | 75.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Vibe Code Bench (Vals AI) | 37.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Code migration (Vals AI) | 6.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| CyberBench (Vals AI) | 59.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 45.7% | Only GPT-4.1 measured |
| SciCode | 41.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 13.6% | Only GPT-4.1 measured |
| WeirdML | 39.0% | 39.0% | GPT-4.1 |
| ALE-Bench | 765.3 | 558.1 | Gemini 3.5 Flash Lite |
| LMArena Text: coding | 1453 | 1390 | Gemini 3.5 Flash Lite |
| LMArena Text: software and IT | 1451 | 1391 | 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% | 4.6% | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 12.7 | Gemini 3.5 Flash Lite |
| Epoch Capabilities Index | 144.9 | 136.7 | Gemini 3.5 Flash Lite |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Finance Agent (Vals AI) | 47.4% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Tax Agent Bench (Vals AI) | 7.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Legal Research Bench (Vals AI) | 13.9% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Excel Modeling Benchmark (Vals AI) | 43.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| τ²-Bench Telecom | Not measured | 47.1% | Only GPT-4.1 measured |
| APEX-Agents | 29.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 54.0% | Only GPT-4.1 measured |
| BrowseComp-Plus | Not measured | 36.4% | Only GPT-4.1 measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | 65.4% | Gemini 3.5 Flash Lite |
| MMMU Pro (Vals AI) | 83.6% | 72.4% | Gemini 3.5 Flash Lite |
| GPQA Diamond (Artificial Analysis run) | 83.8% | 66.6% | Gemini 3.5 Flash Lite |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 4.2% | Gemini 3.5 Flash Lite |
| GPQA Diamond (Epoch AI run) | 83.3% | 66.9% | Gemini 3.5 Flash Lite |
| ARC-AGI | 53.5% | 5.5% | Gemini 3.5 Flash Lite |
| ARC-AGI-2 | 10.3% | 0.4% | Gemini 3.5 Flash Lite |
| SimpleBench | Not measured | 27.0% | Only GPT-4.1 measured |
| Chess puzzles | 21.0% | 3.0% | Gemini 3.5 Flash Lite |
| Mystery game puzzles | 19.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: hard prompts | 1441 | 1384 | Gemini 3.5 Flash Lite |
| LMArena Text: expert | 1434 | 1364 | Gemini 3.5 Flash Lite |
| LMArena Text: hard prompts in English | 1440 | 1393 | Gemini 3.5 Flash Lite |
| LMArena Vision: diagrams | 1284 | 1215 | Gemini 3.5 Flash Lite |
| LMArena Vision: homework | 1291 | 1248 | Gemini 3.5 Flash Lite |
| Kagi LLM Benchmark | Not measured | 52.3% | Only GPT-4.1 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| AIME | Not measured | 39.6% | Only GPT-4.1 measured |
| MATH 500 (Vals AI) | Not measured | 87.2% | Only GPT-4.1 measured |
| MGSM (Vals AI) | Not measured | 87.7% | Only GPT-4.1 measured |
| AA Math Index | Not measured | 34.7 | Only GPT-4.1 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 34.7% | Only GPT-4.1 measured |
| OTIS Mock AIME | 71.1% | 38.3% | Gemini 3.5 Flash Lite |
| FrontierMath, tiers 1 to 3 | 26.0% | 6.0% | Gemini 3.5 Flash Lite |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ProofBench | 13.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MATH level 5 | Not measured | 83.0% | Only GPT-4.1 measured |
| LMArena Text: math | 1434 | 1369 | Gemini 3.5 Flash Lite |
| LMArena Text: mathematical work | 1433 | 1360 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index82
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 80.5% | Gemini 3.5 Flash Lite |
| LegalBench (Vals AI) | 84.1% | 83.1% | Gemini 3.5 Flash Lite |
| CaseLaw (Vals AI) | Not measured | 69.9% | Only GPT-4.1 measured |
| CorpFin (Vals AI) | 60.7% | 63.0% | GPT-4.1 |
| TaxEval (Vals AI) | 72.6% | 75.1% | GPT-4.1 |
| MortgageTax (Vals AI) | 68.7% | 65.9% | Gemini 3.5 Flash Lite |
| MedQA (Vals AI) | Not measured | 91.2% | Only GPT-4.1 measured |
| MedCode (Vals AI) | 43.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.6% | Only GPT-4.1 measured |
| SimpleQA Verified | Not measured | 31.1% | Only GPT-4.1 measured |
| GeoBench | Not measured | 72.0% | Only GPT-4.1 measured |
| LMArena Text: science | 1451 | 1382 | Gemini 3.5 Flash Lite |
| LMArena Text: medicine and healthcare | 1438 | 1379 | Gemini 3.5 Flash Lite |
| LMArena Text: legal and government | 1431 | 1399 | Gemini 3.5 Flash Lite |
| LMArena Text: business and finance | 1423 | 1369 | Gemini 3.5 Flash Lite |
| FACTS Benchmark Suite | 53.5% | 45.8% | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 2 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1039 | Only GPT-4.1 measured |
| Design Arena: UI components | Not measured | 1000 | Only GPT-4.1 measured |
| Design Arena: game dev | Not measured | 1080 | Only GPT-4.1 measured |
| Design Arena: data viz | Not measured | 1104 | Only GPT-4.1 measured |
| Design Arena: 3D | Not measured | 850 | Only GPT-4.1 measured |
| Design Arena: all code categories | Not measured | 1026 | Only GPT-4.1 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SAGE (Vals AI) | 47.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MedScribe (Vals AI) | 70.9% | Not measured | Only Gemini 3.5 Flash Lite measured |
| IFBench | Not measured | 43.0% | Only GPT-4.1 measured |
| Long context reasoning (AA-LCR) | 76.0% | 68.3% | Gemini 3.5 Flash Lite |
| DTBench | 83.5% | 68.3% | Gemini 3.5 Flash Lite |
| LMCA | 37.6% | 25.6% | Gemini 3.5 Flash Lite |
| Fiction.LiveBench | Not measured | 63.9% | Only GPT-4.1 measured |
| LMArena Text | 1435 | 1383 | Gemini 3.5 Flash Lite |
| LMArena Text: instruction following | 1419 | 1367 | Gemini 3.5 Flash Lite |
| LMArena Text: creative writing | 1421 | 1363 | Gemini 3.5 Flash Lite |
| LMArena Vision | 1269 | 1210 | Gemini 3.5 Flash Lite |
| LMArena Text: English | 1438 | 1392 | Gemini 3.5 Flash Lite |
| LMArena Text: non-English | 1427 | 1370 | Gemini 3.5 Flash Lite |
| LMArena Text: Chinese | 1468 | 1382 | Gemini 3.5 Flash Lite |
| LMArena Text: German | 1454 | 1381 | Gemini 3.5 Flash Lite |
| LMArena Text: Japanese | 1426 | 1319 | Gemini 3.5 Flash Lite |
| LMArena Text: Korean | 1407 | 1338 | Gemini 3.5 Flash Lite |
| LMArena Text: French | 1451 | 1382 | Gemini 3.5 Flash Lite |
| LMArena Text: Spanish | 1441 | 1376 | Gemini 3.5 Flash Lite |
| LMArena Text: Russian | 1443 | 1377 | Gemini 3.5 Flash Lite |
| LMArena Text: Polish | 1437 | 1389 | Gemini 3.5 Flash Lite |
| LMArena Text: multi-turn | 1445 | 1397 | Gemini 3.5 Flash Lite |
| LMArena Text: longer queries | 1435 | 1385 | Gemini 3.5 Flash Lite |
| LMArena Text: writing and language | 1428 | 1371 | Gemini 3.5 Flash Lite |
| LMArena Text: entertainment and media | 1414 | 1365 | Gemini 3.5 Flash Lite |
| LMArena Vision: English | 1269 | 1209 | Gemini 3.5 Flash Lite |
| LMArena Vision: Chinese | 1311 | 1226 | Gemini 3.5 Flash Lite |
| LMArena Vision: reading text | 1280 | 1218 | Gemini 3.5 Flash Lite |
| LMArena Vision: humor | 1287 | 1196 | Gemini 3.5 Flash Lite |
| LMArena Vision: captioning | Not measured | 1207 | Only GPT-4.1 measured |
| LMArena Vision: recognizing things | Not measured | 1208 | Only GPT-4.1 measured |
| LMArena Vision: creative writing | 1260 | 1210 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GPT-4.1 | 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
Gemini 3.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 3.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 3.5 Flash 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 | Google Gemini 3.5 Flash Lite | OpenAI GPT-4.1 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | July 21, 2026 | April 14, 2025 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $2.00 |
| Output $/Mtok | $2.50 | $8.00 |
| Coding index | 49.0 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | $0.41 | $0.37 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than GPT-4.1 for coding?
Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; GPT-4.1 has none, so the two cannot be ranked on coding. Pick GPT-4.1 for a lower cost per solved task ($0.37 against $0.41) and work measured by WeirdML or CorpFin (Vals AI), where it leads.
Which is cheaper, Gemini 3.5 Flash Lite or GPT-4.1?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Per solved SWE-bench Verified task, Gemini 3.5 Flash Lite costs $0.41 and GPT-4.1 $0.37.
Which has the bigger context window, Gemini 3.5 Flash Lite or GPT-4.1?
Gemini 3.5 Flash Lite, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.5 Flash Lite vs GPT-4.1 comparison based on?
61 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 independent benchmarks and GPT-4.1's on 0. Where only one model has a result, the page says so instead of naming a winner.