GPT-4o-mini (2024-07-18) vs o3 Mini
Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o3 Mini for coding: it scores 52.1 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18).
Pick GPT-4o-mini (2024-07-18) when output tokens cost 7.3x less, or when what matters is Mystery game puzzles or Creative writing (Lech Mazur), where it leads.
- Shared results
- 39
- GPT-4o-mini (2024-07-18) only
- 7
- o3 Mini only
- 31
- Like-for-like categories
- 5 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
o3 Mini
o3 Mini scores 52.1 against 3.6.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only o3 Mini has a AA Intelligence Index result, 12.5.
Directional only
Reasoning
GPQA Diamond
No call
Only o3 Mini has a GPQA Diamond result, 75.5%.
Directional only
Math
AIME
No call
Only o3 Mini has a AIME result, 86.5%.
Directional only
Knowledge
MMLU Pro
No call
Only o3 Mini has a MMLU Pro result, 78.7%.
Directional only
Long documents
Listed context window
o3 Mini
o3 Mini takes 200K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4o-mini (2024-07-18)
GPT-4o-mini (2024-07-18) $0.0004, o3 Mini $0.0033 per turn.
List prices
At a glance
- Coding index
- GPT-4o-mini (2024-07-18) 3.6 from 1 benchmark, o3 Mini 52.1 from 2 benchmarks.
- Widest category
- Math, 34.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: GPT-4o-mini (2024-07-18) 6.9% against o3 Mini 76.9%, 70.0 points apart on a 0 to 100 scale.
- Output price
- GPT-4o-mini (2024-07-18) $0.60 against o3 Mini $4.40 per million output tokens, 7.3x apart.
- Context window
- GPT-4o-mini (2024-07-18) takes 128K tokens, o3 Mini 200K.
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-4o-mini (2024-07-18) | Bars | o3 Mini | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Reasoning | 1 | 6 | ||
| Math | 0 | 5 | ||
| Knowledge | 0 | 5 | ||
| General | 1 | 17 | ||
| All shared boards | 2 | 37 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| Aider polyglot | 3.6% | 60.4% | o3 Mini |
| SWE-bench Verified | Not measured | 42.4% | Only o3 Mini measured |
| SWE-bench Lite | Not measured | 32.3% | Only o3 Mini measured |
| LiveCodeBench (Vals AI) | Not measured | 71.5% | Only o3 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 73.4% | Only o3 Mini measured |
| SciCode | Not measured | 42.8% | Only o3 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 6.8% | Only o3 Mini measured |
| GSO-Bench | Not measured | 1.3% | Only o3 Mini measured |
| WeirdML | 11.8% | 43.7% | o3 Mini |
| Cybench | Not measured | 22.5% | Only o3 Mini measured |
| LMArena Text: coding | 1290 | 1378 | o3 Mini |
| LMArena Text: software and IT | 1291 | 1364 | o3 Mini |
| Neither model has a result on the other 26 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 12.5 | Only o3 Mini measured |
| Epoch Capabilities Index | Not measured | 140.2 | Only o3 Mini measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 31.3% | Only o3 Mini measured |
| BALROG | 17.4% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 75.5% | Only o3 Mini measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 77.3% | Only o3 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 12.0% | Only o3 Mini measured |
| GPQA Diamond (Epoch AI run) | 37.7% | 77.0% | o3 Mini |
| ARC-AGI | Not measured | 34.5% | Only o3 Mini measured |
| ARC-AGI-2 | Not measured | 3.0% | Only o3 Mini measured |
| SimpleBench | 10.7% | 22.8% | o3 Mini |
| Chess puzzles | 3.0% | 15.0% | o3 Mini |
| Mystery game puzzles | 12.0% | 7.0% | GPT-4o-mini (2024-07-18) |
| VPCT | 34.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: hard prompts | 1267 | 1365 | o3 Mini |
| LMArena Text: expert | 1234 | 1364 | o3 Mini |
| LMArena Text: hard prompts in English | 1278 | 1375 | o3 Mini |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 86.5% | Only o3 Mini measured |
| MATH 500 (Vals AI) | Not measured | 91.8% | Only o3 Mini measured |
| MGSM (Vals AI) | Not measured | 91.3% | Only o3 Mini measured |
| OTIS Mock AIME | 6.9% | 76.9% | o3 Mini |
| FrontierMath, tiers 1 to 3 | 0.7% | 18.6% | o3 Mini |
| FrontierMath, tier 4 | Not measured | 0.0% | Only o3 Mini measured |
| MATH level 5 | 52.6% | 96.5% | o3 Mini |
| LMArena Text: math | 1267 | 1396 | o3 Mini |
| LMArena Text: mathematical work | 1271 | 1399 | o3 Mini |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 78.7% | Only o3 Mini measured |
| LegalBench (Vals AI) | Not measured | 71.5% | Only o3 Mini measured |
| CorpFin (Vals AI) | Not measured | 45.3% | Only o3 Mini measured |
| TaxEval (Vals AI) | Not measured | 69.4% | Only o3 Mini measured |
| MedQA (Vals AI) | Not measured | 94.8% | Only o3 Mini measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.2% | Only o3 Mini measured |
| SimpleQA Verified | 8.3% | 15.3% | o3 Mini |
| MMLU | 76.7% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| GeoBench | 64.0% | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: science | 1286 | 1339 | o3 Mini |
| LMArena Text: medicine and healthcare | 1282 | 1330 | o3 Mini |
| LMArena Text: legal and government | 1305 | 1328 | o3 Mini |
| LMArena Text: business and finance | 1265 | 1313 | o3 Mini |
| Neither model has a result on the other 4 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index117
| Benchmark | GPT-4o-mini (2024-07-18) | o3 Mini | Leader |
|---|---|---|---|
| IFBench | Not measured | 67.1% | Only o3 Mini measured |
| Long context reasoning (AA-LCR) | Not measured | 43.0% | Only o3 Mini measured |
| DTBench | Not measured | 68.8% | Only o3 Mini measured |
| LMCA | Not measured | 19.0% | Only o3 Mini measured |
| Fiction.LiveBench | Not measured | 50.0% | Only o3 Mini measured |
| Creative writing (Lech Mazur) | 67.2% | 61.7% | GPT-4o-mini (2024-07-18) |
| LMArena Text | 1286 | 1337 | o3 Mini |
| LMArena Text: instruction following | 1258 | 1337 | o3 Mini |
| LMArena Text: creative writing | 1268 | 1286 | o3 Mini |
| LMArena Vision | 1066 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Text: English | 1301 | 1351 | o3 Mini |
| LMArena Text: non-English | 1266 | 1319 | o3 Mini |
| LMArena Text: Chinese | 1265 | 1379 | o3 Mini |
| LMArena Text: German | 1272 | 1303 | o3 Mini |
| LMArena Text: Japanese | 1216 | 1286 | o3 Mini |
| LMArena Text: Korean | 1195 | 1313 | o3 Mini |
| LMArena Text: French | 1297 | 1334 | o3 Mini |
| LMArena Text: Spanish | 1276 | 1321 | o3 Mini |
| LMArena Text: Russian | 1275 | 1304 | o3 Mini |
| LMArena Text: Polish | 1244 | 1294 | o3 Mini |
| LMArena Text: multi-turn | 1285 | 1320 | o3 Mini |
| LMArena Text: longer queries | 1289 | 1343 | o3 Mini |
| LMArena Text: writing and language | 1282 | 1313 | o3 Mini |
| LMArena Text: entertainment and media | 1253 | 1283 | o3 Mini |
| LMArena Vision: English | 1072 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| LMArena Vision: Chinese | 1033 | Not measured | Only GPT-4o-mini (2024-07-18) measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o-mini (2024-07-18) | o3 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-4o-mini (2024-07-18) costs less
Repository review
50K input + 3K output tokens
GPT-4o-mini (2024-07-18) costs less
Agent loop
200K input + 10K output tokens
GPT-4o-mini (2024-07-18) 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-4o-mini (2024-07-18) | OpenAI o3 Mini |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | July 18, 2024 | January 31, 2025 |
| Context window | 128K | 200K |
| Input $/Mtok | $0.15 | $1.10 |
| Output $/Mtok | $0.60 | $4.40 |
| Coding index | 3.6 | 52.1 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o-mini (2024-07-18) better than o3 Mini for coding?
Pick o3 Mini for coding: it scores 52.1 on the Vibe Coding Index against 3.6 for GPT-4o-mini (2024-07-18). Pick GPT-4o-mini (2024-07-18) when output tokens cost 7.3x less, or when what matters is Mystery game puzzles or Creative writing (Lech Mazur), where it leads.
Which is cheaper, GPT-4o-mini (2024-07-18) or o3 Mini?
GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o-mini (2024-07-18) or o3 Mini?
o3 Mini, with 200K tokens against 128K.
How many benchmarks is the GPT-4o-mini (2024-07-18) vs o3 Mini comparison based on?
39 benchmarks have a result for both models as of October 21, 2026. GPT-4o-mini (2024-07-18)'s coding index rests on 1 independent benchmark and o3 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.