Gemini 2.5 Flash Lite vs GPT-4.1
GPT-4.1 leads Gemini 2.5 Flash Lite on the Artificial Analysis Intelligence Index, 12.7 to 10.4, and Gemini 2.5 Flash Lite costs 20.0x less per output token ($0.40 vs $8.00 per million). Updated October 21, 2026; 25 benchmarks have a result for both.
Gemini 2.5 Flash Lite or GPT-4.1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash Lite for output tokens 20.0x cheaper ($0.40 vs $8.00 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 25
- Gemini 2.5 Flash Lite only
- 3
- GPT-4.1 only
- 62
- 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
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GPT-4.1
GPT-4.1 leads, 12.7 against 10.4.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 70.2% against 65.4%.
Same board, both measured
Math
AIME
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 42.1% against 39.6%.
Same board, both measured
Knowledge
MMLU Pro
GPT-4.1
GPT-4.1 leads, 80.5% against 79.1%.
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 2.5 Flash Lite
Gemini 2.5 Flash Lite takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite $0.0003, GPT-4.1 $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-4.1 has the number, $0.37.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash Lite not benchmarked, GPT-4.1 not benchmarked.
- Widest category
- Agentic work, 28.1 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Gemini 2.5 Flash Lite 19.0% against GPT-4.1 47.1%, 28.1 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash Lite $0.40 against GPT-4.1 $8.00 per million output tokens, 20.0x apart.
- Context window
- Gemini 2.5 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 2.5 Flash Lite | Bars | GPT-4.1 | Ties |
|---|---|---|---|---|
| Coding | 2 | 1 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 3 | 1 | ||
| Math | 4 | 0 | ||
| Knowledge | 0 | 7 | ||
| General | 1 | 3 | ||
| All shared boards | 10 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
| Benchmark | Gemini 2.5 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 |
| LiveCodeBench (Vals AI) | 71.4% | 54.7% | Gemini 2.5 Flash Lite |
| LiveCodeBench (Artificial Analysis run) | 59.3% | 45.7% | Gemini 2.5 Flash Lite |
| Terminal-Bench Hard (Artificial Analysis run) | 4.5% | 13.6% | GPT-4.1 |
| WeirdML | Not measured | 39.0% | Only GPT-4.1 measured |
| ALE-Bench | Not measured | 558.1 | Only GPT-4.1 measured |
| LMArena Text: coding | Not measured | 1390 | Only GPT-4.1 measured |
| LMArena Text: software and IT | Not measured | 1391 | Only GPT-4.1 measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.4 | 12.7 | GPT-4.1 |
| Epoch Capabilities Index | 133.8 | 136.7 | GPT-4.1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 19.0% | 47.1% | GPT-4.1 |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Gemini 2.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| GPQA Diamond | 70.2% | 65.4% | Gemini 2.5 Flash Lite |
| MMMU Pro (Vals AI) | 75.4% | 72.4% | Gemini 2.5 Flash Lite |
| GPQA Diamond (Artificial Analysis run) | 62.5% | 66.6% | GPT-4.1 |
| Humanity's Last Exam (Artificial Analysis run) | 6.8% | 4.2% | Gemini 2.5 Flash Lite |
| GPQA Diamond (Epoch AI run) | Not measured | 66.9% | Only GPT-4.1 measured |
| ARC-AGI | Not measured | 5.5% | Only GPT-4.1 measured |
| ARC-AGI-2 | Not measured | 0.4% | Only GPT-4.1 measured |
| SimpleBench | Not measured | 27.0% | Only GPT-4.1 measured |
| Chess puzzles | Not measured | 3.0% | Only GPT-4.1 measured |
| LMArena Text: hard prompts | Not measured | 1384 | Only GPT-4.1 measured |
| LMArena Text: expert | Not measured | 1364 | Only GPT-4.1 measured |
| LMArena Text: hard prompts in English | Not measured | 1393 | Only GPT-4.1 measured |
| LMArena Vision: diagrams | Not measured | 1215 | Only GPT-4.1 measured |
| LMArena Vision: homework | Not measured | 1248 | Only GPT-4.1 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 2.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| AIME | 42.1% | 39.6% | Gemini 2.5 Flash Lite |
| MATH 500 (Vals AI) | Not measured | 87.2% | Only GPT-4.1 measured |
| MGSM (Vals AI) | 89.5% | 87.7% | Gemini 2.5 Flash Lite |
| AA Math Index | 53.3 | 34.7 | Gemini 2.5 Flash Lite |
| AIME 2025 (Artificial Analysis run) | 53.3% | 34.7% | Gemini 2.5 Flash Lite |
| OTIS Mock AIME | Not measured | 38.3% | Only GPT-4.1 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 6.0% | Only GPT-4.1 measured |
| MATH level 5 | Not measured | 83.0% | Only GPT-4.1 measured |
| LMArena Text: math | Not measured | 1369 | Only GPT-4.1 measured |
| LMArena Text: mathematical work | Not measured | 1360 | Only GPT-4.1 measured |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemini 2.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| MMLU Pro | 79.1% | 80.5% | GPT-4.1 |
| LegalBench (Vals AI) | 82.0% | 83.1% | GPT-4.1 |
| CaseLaw (Vals AI) | Not measured | 69.9% | Only GPT-4.1 measured |
| CorpFin (Vals AI) | 57.6% | 63.0% | GPT-4.1 |
| TaxEval (Vals AI) | 66.2% | 75.1% | GPT-4.1 |
| MortgageTax (Vals AI) | 57.6% | 65.9% | GPT-4.1 |
| MedQA (Vals AI) | 88.9% | 91.2% | GPT-4.1 |
| MedCode (Vals AI) | 34.2% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MMLU Pro (Artificial Analysis run) | 75.9% | 80.6% | GPT-4.1 |
| SimpleQA Verified | Not measured | 31.1% | Only GPT-4.1 measured |
| GeoBench | Not measured | 72.0% | Only GPT-4.1 measured |
| LMArena Text: science | Not measured | 1382 | Only GPT-4.1 measured |
| LMArena Text: medicine and healthcare | Not measured | 1379 | Only GPT-4.1 measured |
| LMArena Text: legal and government | Not measured | 1399 | Only GPT-4.1 measured |
| LMArena Text: business and finance | Not measured | 1369 | Only GPT-4.1 measured |
| 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 2.5 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 index13
| Benchmark | Gemini 2.5 Flash Lite | GPT-4.1 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 30.8% | Not measured | Only Gemini 2.5 Flash Lite measured |
| MedScribe (Vals AI) | 75.8% | Not measured | Only Gemini 2.5 Flash Lite measured |
| IFBench | 49.9% | 43.0% | Gemini 2.5 Flash Lite |
| Long context reasoning (AA-LCR) | 55.7% | 68.3% | GPT-4.1 |
| DTBench | 62.8% | 68.3% | GPT-4.1 |
| LMCA | 18.1% | 25.6% | GPT-4.1 |
| Fiction.LiveBench | Not measured | 63.9% | Only GPT-4.1 measured |
| LMArena Text | Not measured | 1383 | Only GPT-4.1 measured |
| LMArena Text: instruction following | Not measured | 1367 | Only GPT-4.1 measured |
| LMArena Text: creative writing | Not measured | 1363 | Only GPT-4.1 measured |
| LMArena Vision | Not measured | 1210 | Only GPT-4.1 measured |
| LMArena Text: English | Not measured | 1392 | Only GPT-4.1 measured |
| LMArena Text: non-English | Not measured | 1370 | Only GPT-4.1 measured |
| LMArena Text: Chinese | Not measured | 1382 | Only GPT-4.1 measured |
| LMArena Text: German | Not measured | 1381 | Only GPT-4.1 measured |
| LMArena Text: Japanese | Not measured | 1319 | Only GPT-4.1 measured |
| LMArena Text: Korean | Not measured | 1338 | Only GPT-4.1 measured |
| LMArena Text: French | Not measured | 1382 | Only GPT-4.1 measured |
| LMArena Text: Spanish | Not measured | 1376 | Only GPT-4.1 measured |
| LMArena Text: Russian | Not measured | 1377 | Only GPT-4.1 measured |
| LMArena Text: Polish | Not measured | 1389 | Only GPT-4.1 measured |
| LMArena Text: multi-turn | Not measured | 1397 | Only GPT-4.1 measured |
| LMArena Text: longer queries | Not measured | 1385 | Only GPT-4.1 measured |
| LMArena Text: writing and language | Not measured | 1371 | Only GPT-4.1 measured |
| LMArena Text: entertainment and media | Not measured | 1365 | Only GPT-4.1 measured |
| LMArena Vision: English | Not measured | 1209 | Only GPT-4.1 measured |
| LMArena Vision: Chinese | Not measured | 1226 | Only GPT-4.1 measured |
| LMArena Vision: reading text | Not measured | 1218 | Only GPT-4.1 measured |
| LMArena Vision: humor | Not measured | 1196 | Only GPT-4.1 measured |
| 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 | Not measured | 1210 | Only GPT-4.1 measured |
| 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 2.5 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 2.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 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 2.5 Flash Lite | OpenAI GPT-4.1 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | July 22, 2025 | April 14, 2025 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $2.00 |
| Output $/Mtok | $0.40 | $8.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | $0.37 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash Lite better than GPT-4.1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 20.0x cheaper ($0.40 vs $8.00 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Gemini 2.5 Flash Lite or GPT-4.1?
Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Cost per solved task is known for GPT-4.1 only.
Which has the bigger context window, Gemini 2.5 Flash Lite or GPT-4.1?
Gemini 2.5 Flash Lite, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 2.5 Flash Lite vs GPT-4.1 comparison based on?
25 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 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.