GPT-4.1 Mini vs GPT-4o (2024-08-06)
GPT-4.1 Mini leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 10.2 to 7.7, and GPT-4.1 Mini costs 6.3x less per output token ($1.60 vs $10.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.
GPT-4.1 Mini or GPT-4o (2024-08-06): which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4.1 Mini for output tokens 6.3x cheaper ($1.60 vs $10.00 per million) and a larger context window (1.05M against 128K tokens).
- Shared results
- 55
- GPT-4.1 Mini only
- 33
- GPT-4o (2024-08-06) only
- 3
- 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 Mini
GPT-4.1 Mini leads, 10.2 against 7.7.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-4.1 Mini has a GPQA Diamond result, 67.9%.
Directional only
Math
AIME
GPT-4.1 Mini
GPT-4.1 Mini leads, 49.4% against 14.0%.
Same board, both measured
Knowledge
MMLU Pro
GPT-4.1 Mini
GPT-4.1 Mini leads, 77.2% against 74.1%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-4.1 Mini has a Design Arena: websites result, 997.
Directional only
Long documents
Listed context window
GPT-4.1 Mini
GPT-4.1 Mini takes 1.05M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4.1 Mini
GPT-4.1 Mini $0.0012, GPT-4o (2024-08-06) $0.0075 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-4.1 Mini has the number, $1.818.
Directional only
At a glance
- Coding index
- GPT-4.1 Mini not benchmarked, GPT-4o (2024-08-06) not benchmarked.
- Widest category
- Agentic work, 24.0 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: GPT-4.1 Mini 44.7% against GPT-4o (2024-08-06) 6.4%, 38.3 points apart on a 0 to 100 scale.
- Output price
- GPT-4.1 Mini $1.60 against GPT-4o (2024-08-06) $10.00 per million output tokens, 6.3x apart.
- Context window
- GPT-4.1 Mini takes 1.05M tokens, GPT-4o (2024-08-06) 128K.
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 | GPT-4.1 Mini | Bars | GPT-4o (2024-08-06) | Ties |
|---|---|---|---|---|
| Coding | 4 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 7 | 1 | ||
| Math | 7 | 1 | ||
| Knowledge | 8 | 3 | ||
| General | 21 | 0 | ||
| All shared boards | 49 | 6 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| Aider polyglot | 32.4% | 23.1% | GPT-4.1 Mini |
| SWE-bench Verified | 23.9% | Not measured | Only GPT-4.1 Mini measured |
| SWE-bench Lite | Not measured | 21.7% | Only GPT-4o (2024-08-06) measured |
| AA Coding Index | 20.2 | Not measured | Only GPT-4.1 Mini measured |
| LiveCodeBench (Vals AI) | 58.2% | Not measured | Only GPT-4.1 Mini measured |
| LiveCodeBench (Artificial Analysis run) | 48.3% | 31.7% | GPT-4.1 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 7.6% | 8.3% | GPT-4o (2024-08-06) |
| WeirdML | 37.6% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: coding | 1367 | 1283 | GPT-4.1 Mini |
| LMArena Text: software and IT | 1360 | 1278 | GPT-4.1 Mini |
| Neither model has a result on the other 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.2 | 7.7 | GPT-4.1 Mini |
| Epoch Capabilities Index | 134.9 | Not measured | Only GPT-4.1 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 52.9% | 28.9% | GPT-4.1 Mini |
| Berkeley Function Calling Leaderboard (BFCL) | 50.4% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| GPQA Diamond | 67.9% | Not measured | Only GPT-4.1 Mini measured |
| MMMU Pro (Vals AI) | 70.5% | 64.0% | GPT-4.1 Mini |
| GPQA Diamond (Artificial Analysis run) | 66.4% | 52.1% | GPT-4.1 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 5.0% | 2.3% | GPT-4.1 Mini |
| GPQA Diamond (Epoch AI run) | 65.8% | 49.2% | GPT-4.1 Mini |
| ARC-AGI | 3.5% | Not measured | Only GPT-4.1 Mini measured |
| ARC-AGI-2 | 0.0% | Not measured | Only GPT-4.1 Mini measured |
| SimpleBench | Not measured | 17.8% | Only GPT-4o (2024-08-06) measured |
| Chess puzzles | 1.0% | 6.0% | GPT-4o (2024-08-06) |
| Mystery game puzzles | 7.0% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: hard prompts | 1349 | 1264 | GPT-4.1 Mini |
| LMArena Text: expert | 1338 | 1241 | GPT-4.1 Mini |
| LMArena Text: hard prompts in English | 1362 | 1277 | GPT-4.1 Mini |
| LMArena Vision: diagrams | 1182 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: homework | 1214 | Not measured | Only GPT-4.1 Mini measured |
| Kagi LLM Benchmark | 48.6% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| AIME | 49.4% | 14.0% | GPT-4.1 Mini |
| MATH 500 (Vals AI) | 88.0% | 75.2% | GPT-4.1 Mini |
| MGSM (Vals AI) | 87.8% | 90.7% | GPT-4o (2024-08-06) |
| AA Math Index | 46.3 | Not measured | Only GPT-4.1 Mini measured |
| AIME 2025 (Artificial Analysis run) | 46.3% | Not measured | Only GPT-4.1 Mini measured |
| OTIS Mock AIME | 44.7% | 6.4% | GPT-4.1 Mini |
| FrontierMath, tiers 1 to 3 | 6.7% | 0.4% | GPT-4.1 Mini |
| MATH level 5 | 87.3% | 53.3% | GPT-4.1 Mini |
| LMArena Text: math | 1343 | 1285 | GPT-4.1 Mini |
| LMArena Text: mathematical work | 1347 | 1283 | GPT-4.1 Mini |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| MMLU Pro | 77.2% | 74.1% | GPT-4.1 Mini |
| LegalBench (Vals AI) | 78.0% | 80.1% | GPT-4o (2024-08-06) |
| CorpFin (Vals AI) | 57.9% | 39.4% | GPT-4.1 Mini |
| TaxEval (Vals AI) | 71.9% | 71.1% | GPT-4.1 Mini |
| MortgageTax (Vals AI) | 65.5% | 61.0% | GPT-4.1 Mini |
| MedQA (Vals AI) | 84.6% | 88.2% | GPT-4o (2024-08-06) |
| MMLU Pro (Artificial Analysis run) | 78.1% | Not measured | Only GPT-4.1 Mini measured |
| SimpleQA Verified | 12.7% | 26.0% | GPT-4o (2024-08-06) |
| MMLU | Not measured | 84.3% | Only GPT-4o (2024-08-06) measured |
| LMArena Text: science | 1328 | 1274 | GPT-4.1 Mini |
| LMArena Text: medicine and healthcare | 1324 | 1252 | GPT-4.1 Mini |
| LMArena Text: legal and government | 1343 | 1275 | GPT-4.1 Mini |
| LMArena Text: business and finance | 1322 | 1232 | GPT-4.1 Mini |
| PRBench Finance | 30.4% | Not measured | Only GPT-4.1 Mini measured |
| PRBench Legal | 30.4% | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| Design Arena: websites | 997 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: UI components | 959 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: game dev | 1070 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: data viz | 1034 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: 3D | 836 | Not measured | Only GPT-4.1 Mini measured |
| Design Arena: all code categories | 993 | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | Leader |
|---|---|---|---|
| IFBench | 38.3% | 36.0% | GPT-4.1 Mini |
| Long context reasoning (AA-LCR) | 44.0% | 41.0% | GPT-4.1 Mini |
| DTBench | 68.8% | Not measured | Only GPT-4.1 Mini measured |
| LMCA | 21.1% | Not measured | Only GPT-4.1 Mini measured |
| Fiction.LiveBench | 44.4% | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text | 1341 | 1283 | GPT-4.1 Mini |
| LMArena Text: instruction following | 1333 | 1267 | GPT-4.1 Mini |
| LMArena Text: creative writing | 1299 | 1274 | GPT-4.1 Mini |
| LMArena Vision | 1181 | 1065 | GPT-4.1 Mini |
| LMArena Text: English | 1356 | 1297 | GPT-4.1 Mini |
| LMArena Text: non-English | 1318 | 1262 | GPT-4.1 Mini |
| LMArena Text: Chinese | 1329 | 1254 | GPT-4.1 Mini |
| LMArena Text: German | 1350 | 1257 | GPT-4.1 Mini |
| LMArena Text: Japanese | 1290 | 1234 | GPT-4.1 Mini |
| LMArena Text: Korean | 1298 | 1218 | GPT-4.1 Mini |
| LMArena Text: French | 1358 | 1263 | GPT-4.1 Mini |
| LMArena Text: Spanish | 1319 | 1269 | GPT-4.1 Mini |
| LMArena Text: Russian | 1324 | 1272 | GPT-4.1 Mini |
| LMArena Text: Polish | 1326 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Text: multi-turn | 1354 | 1279 | GPT-4.1 Mini |
| LMArena Text: longer queries | 1344 | 1283 | GPT-4.1 Mini |
| LMArena Text: writing and language | 1319 | 1290 | GPT-4.1 Mini |
| LMArena Text: entertainment and media | 1300 | 1267 | GPT-4.1 Mini |
| LMArena Vision: English | 1191 | 1072 | GPT-4.1 Mini |
| LMArena Vision: Chinese | 1186 | 1009 | GPT-4.1 Mini |
| LMArena Vision: reading text | 1188 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: humor | 1182 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: captioning | 1174 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: recognizing things | 1187 | Not measured | Only GPT-4.1 Mini measured |
| LMArena Vision: creative writing | 1182 | Not measured | Only GPT-4.1 Mini measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4.1 Mini | GPT-4o (2024-08-06) | 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 | OpenAI GPT-4.1 Mini | OpenAI GPT-4o (2024-08-06) |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 14, 2025 | August 6, 2024 |
| Context window | 1.05M | 128K |
| Input $/Mtok | $0.40 | $2.50 |
| Output $/Mtok | $1.60 | $10.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $1.818 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4.1 Mini better than GPT-4o (2024-08-06) for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for output tokens 6.3x cheaper ($1.60 vs $10.00 per million) and a larger context window (1.05M against 128K tokens).
Which is cheaper, GPT-4.1 Mini or GPT-4o (2024-08-06)?
GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; GPT-4o (2024-08-06) costs $2.50 and $10.00. Cost per solved task is known for GPT-4.1 Mini only.
Which has the bigger context window, GPT-4.1 Mini or GPT-4o (2024-08-06)?
GPT-4.1 Mini, with 1.05M tokens against 128K.
How many benchmarks is the GPT-4.1 Mini vs GPT-4o (2024-08-06) comparison based on?
55 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 independent benchmarks and GPT-4o (2024-08-06)'s on 0. Where only one model has a result, the page says so instead of naming a winner.