Gemini 2.5 Pro vs GPT-4.1 Mini
Updated October 21, 2026. 68 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemini 2.5 Pro for coding: it scores 37.0 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini.
Pick GPT-4.1 Mini when output tokens cost 6.3x less.
- Shared results
- 68
- Gemini 2.5 Pro only
- 19
- GPT-4.1 Mini only
- 16
- Like-for-like categories
- 8 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, four public coding benchmarks
Gemini 2.5 Pro
Gemini 2.5 Pro scores 37.0 against 28.5.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 2.5 Pro
Gemini 2.5 Pro leads, 16.1 against 10.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 2.5 Pro has a AA Agentic Index result, 1.6.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-4.1 Mini has a GPQA Diamond result, 67.9%.
Directional only
Math
AIME
No call
Only GPT-4.1 Mini has a AIME result, 49.4%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-4.1 Mini has a MMLU Pro result, 77.2%.
Directional only
Web design
Design Arena: websites
Gemini 2.5 Pro
Gemini 2.5 Pro leads, 1167 against 997.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4.1 Mini
Gemini 2.5 Pro $0.0063, GPT-4.1 Mini $0.0012 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Pro
Gemini 2.5 Pro $0.64, GPT-4.1 Mini $1.818.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Pro 37.0 from 2 benchmarks, GPT-4.1 Mini 28.5 from 2 benchmarks.
- Widest category
- Math, 29.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- AA Math Index: Gemini 2.5 Pro 87.7 against GPT-4.1 Mini 46.3, 41.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against GPT-4.1 Mini $1.60 per million output tokens, 6.3x apart.
- Context window
- Gemini 2.5 Pro takes 1.05M tokens, GPT-4.1 Mini 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 Pro | Bars | GPT-4.1 Mini | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 7 | 0 | ||
| Web design | 6 | 0 | ||
| General | 29 | 0 | ||
| All shared boards | 68 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 32.4% | Only GPT-4.1 Mini measured |
| SWE-bench Verified | 53.6% | 23.9% | Gemini 2.5 Pro |
| LMArena WebDev | 1226 | Not measured | Only Gemini 2.5 Pro measured |
| AA Coding Index | 33.3 | 20.2 | Gemini 2.5 Pro |
| LiveCodeBench (Vals AI) | Not measured | 58.2% | Only GPT-4.1 Mini measured |
| SWE-bench Verified (Vals AI) | 54.4% | Not measured | Only Gemini 2.5 Pro measured |
| Vibe Code Bench (Vals AI) | 0.4% | Not measured | Only Gemini 2.5 Pro measured |
| LiveCodeBench (Artificial Analysis run) | 80.1% | 48.3% | Gemini 2.5 Pro |
| SciCode | 46.3% | Not measured | Only Gemini 2.5 Pro measured |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | 7.6% | Gemini 2.5 Pro |
| Terminal-Bench | 32.6% | Not measured | Only Gemini 2.5 Pro measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | 37.6% | Gemini 2.5 Pro |
| LMArena Text: coding | 1452 | 1367 | Gemini 2.5 Pro |
| LMArena Text: software and IT | 1459 | 1360 | Gemini 2.5 Pro |
| LMArena WebDev: HTML | 1235 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena WebDev: from an image | 1285 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 10.2 | Gemini 2.5 Pro |
| Epoch Capabilities Index | 145.1 | 134.9 | Gemini 2.5 Pro |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | Not measured | Only Gemini 2.5 Pro measured |
| τ²-Bench Telecom | 54.1% | 52.9% | Gemini 2.5 Pro |
| GDPval | 23.3% | Not measured | Only Gemini 2.5 Pro measured |
| DeepResearch Bench | 41.5% | Not measured | Only Gemini 2.5 Pro measured |
| Vending-Bench 2 | $574 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 67.9% | Only GPT-4.1 Mini measured |
| MMMU Pro (Vals AI) | Not measured | 70.5% | Only GPT-4.1 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 84.4% | 66.4% | Gemini 2.5 Pro |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 5.0% | Gemini 2.5 Pro |
| GPQA Diamond (Epoch AI run) | 85.3% | 65.8% | Gemini 2.5 Pro |
| ARC-AGI | 41.0% | 3.5% | Gemini 2.5 Pro |
| ARC-AGI-2 | 4.9% | 0.0% | Gemini 2.5 Pro |
| Chess puzzles | Not measured | 1.0% | Only GPT-4.1 Mini measured |
| Mystery game puzzles | Not measured | 7.0% | Only GPT-4.1 Mini measured |
| LMArena Text: hard prompts | 1455 | 1349 | Gemini 2.5 Pro |
| LMArena Text: expert | 1452 | 1338 | Gemini 2.5 Pro |
| LMArena Text: hard prompts in English | 1453 | 1362 | Gemini 2.5 Pro |
| LMArena Vision: diagrams | 1274 | 1182 | Gemini 2.5 Pro |
| LMArena Vision: homework | 1281 | 1214 | Gemini 2.5 Pro |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 49.4% | Only GPT-4.1 Mini measured |
| MATH 500 (Vals AI) | Not measured | 88.0% | Only GPT-4.1 Mini measured |
| MGSM (Vals AI) | Not measured | 87.8% | Only GPT-4.1 Mini measured |
| AA Math Index | 87.7 | 46.3 | Gemini 2.5 Pro |
| AIME 2025 (Artificial Analysis run) | 87.7% | 46.3% | Gemini 2.5 Pro |
| OTIS Mock AIME | 84.7% | 44.7% | Gemini 2.5 Pro |
| FrontierMath, tiers 1 to 3 | 24.6% | 6.7% | Gemini 2.5 Pro |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 2.5 Pro measured |
| MATH level 5 | Not measured | 87.3% | Only GPT-4.1 Mini measured |
| LMArena Text: math | 1450 | 1343 | Gemini 2.5 Pro |
| LMArena Text: mathematical work | 1454 | 1347 | Gemini 2.5 Pro |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 77.2% | Only GPT-4.1 Mini measured |
| LegalBench (Vals AI) | Not measured | 78.0% | Only GPT-4.1 Mini measured |
| CaseLaw (Vals AI) | 63.9% | Not measured | Only Gemini 2.5 Pro measured |
| CorpFin (Vals AI) | 60.8% | 57.9% | Gemini 2.5 Pro |
| TaxEval (Vals AI) | Not measured | 71.9% | Only GPT-4.1 Mini measured |
| MortgageTax (Vals AI) | 68.9% | 65.5% | Gemini 2.5 Pro |
| MedQA (Vals AI) | Not measured | 84.6% | Only GPT-4.1 Mini measured |
| MedCode (Vals AI) | 50.6% | Not measured | Only Gemini 2.5 Pro measured |
| MMLU Pro (Artificial Analysis run) | 86.2% | 78.1% | Gemini 2.5 Pro |
| SimpleQA Verified | Not measured | 12.7% | Only GPT-4.1 Mini measured |
| LMArena Text: science | 1480 | 1328 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1476 | 1324 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1480 | 1343 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1439 | 1322 | Gemini 2.5 Pro |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | 997 | Gemini 2.5 Pro |
| Design Arena: UI components | 1139 | 961 | Gemini 2.5 Pro |
| Design Arena: game dev | 1112 | 1071 | Gemini 2.5 Pro |
| Design Arena: data viz | 1222 | 1034 | Gemini 2.5 Pro |
| Design Arena: 3D | 1080 | 837 | Gemini 2.5 Pro |
| Design Arena: all code categories | 1152 | 994 | Gemini 2.5 Pro |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedScribe (Vals AI) | 73.5% | Not measured | Only Gemini 2.5 Pro measured |
| IFBench | 48.7% | 38.3% | Gemini 2.5 Pro |
| Long context reasoning (AA-LCR) | 69.0% | 44.0% | Gemini 2.5 Pro |
| DTBench | 82.4% | 68.8% | Gemini 2.5 Pro |
| LMCA | 34.8% | 21.1% | Gemini 2.5 Pro |
| Fiction.LiveBench | Not measured | 44.4% | Only GPT-4.1 Mini measured |
| Creative writing (Lech Mazur) | 83.8% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text | 1458 | 1341 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1437 | 1333 | Gemini 2.5 Pro |
| LMArena Text: creative writing | 1454 | 1299 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | 1181 | Gemini 2.5 Pro |
| LMArena Text: English | 1458 | 1356 | Gemini 2.5 Pro |
| LMArena Text: non-English | 1452 | 1318 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1507 | 1329 | Gemini 2.5 Pro |
| LMArena Text: German | 1487 | 1350 | Gemini 2.5 Pro |
| LMArena Text: Japanese | 1461 | 1290 | Gemini 2.5 Pro |
| LMArena Text: Korean | 1434 | 1298 | Gemini 2.5 Pro |
| LMArena Text: French | 1473 | 1358 | Gemini 2.5 Pro |
| LMArena Text: Spanish | 1474 | 1319 | Gemini 2.5 Pro |
| LMArena Text: Russian | 1461 | 1324 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1479 | 1326 | Gemini 2.5 Pro |
| LMArena Text: multi-turn | 1453 | 1354 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1449 | 1344 | Gemini 2.5 Pro |
| LMArena Text: writing and language | 1454 | 1319 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1300 | Gemini 2.5 Pro |
| LMArena Vision: English | 1261 | 1191 | Gemini 2.5 Pro |
| LMArena Vision: Chinese | 1300 | 1186 | Gemini 2.5 Pro |
| LMArena Vision: reading text | 1270 | 1188 | Gemini 2.5 Pro |
| LMArena Vision: humor | 1262 | 1182 | Gemini 2.5 Pro |
| LMArena Vision: captioning | 1304 | 1174 | Gemini 2.5 Pro |
| LMArena Vision: recognizing things | 1283 | 1187 | Gemini 2.5 Pro |
| LMArena Vision: creative writing | 1265 | 1182 | Gemini 2.5 Pro |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Pro | GPT-4.1 Mini | 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-4.1 Mini costs less
Repository review
50K input + 3K output tokens
GPT-4.1 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-4.1 Mini 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 Pro | OpenAI GPT-4.1 Mini |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | April 14, 2025 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $1.25 | $0.40 |
| Output $/Mtok | $10.00 | $1.60 |
| Coding index | 37.0 | 28.5 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.64 | $1.818 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than GPT-4.1 Mini for coding?
Pick Gemini 2.5 Pro for coding: it scores 37.0 on the Vibe Coding Index against 28.5 for GPT-4.1 Mini. Pick GPT-4.1 Mini when output tokens cost 6.3x less.
Which is cheaper, Gemini 2.5 Pro or GPT-4.1 Mini?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and GPT-4.1 Mini $1.818.
Which has the bigger context window, Gemini 2.5 Pro or GPT-4.1 Mini?
Gemini 2.5 Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 2.5 Pro vs GPT-4.1 Mini comparison based on?
68 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Pro's coding index rests on 2 independent benchmarks and GPT-4.1 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.