GPT-4o (2024-11-20) vs o3 Mini
Updated October 21, 2026. 18 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 18.2 for GPT-4o (2024-11-20).
Pick GPT-4o (2024-11-20) when what matters is LegalBench (Vals AI) or CorpFin (Vals AI), where it leads.
- Shared results
- 18
- GPT-4o (2024-11-20) only
- 6
- o3 Mini only
- 52
- Like-for-like categories
- 6 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 18.2.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
o3 Mini
o3 Mini leads, 12.5 against 8.4.
Same board, both measured
Reasoning
GPQA Diamond
o3 Mini
o3 Mini leads, 75.5% against 53.8%.
Same board, both measured
Math
AIME
o3 Mini
o3 Mini leads, 86.5% against 11.9%.
Same board, both measured
Knowledge
MMLU Pro
o3 Mini
o3 Mini leads, 78.7% against 72.6%.
Same board, both measured
Long documents
Listed context window
o3 Mini
o3 Mini takes 200K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
o3 Mini
GPT-4o (2024-11-20) $0.0075, o3 Mini $0.0033 per turn.
List prices
At a glance
- Coding index
- GPT-4o (2024-11-20) 18.2 from 1 benchmark, o3 Mini 52.1 from 2 benchmarks.
- Widest category
- Math, 42.2 points apart on average over 5 shared benchmarks.
- Widest single gap
- AIME: GPT-4o (2024-11-20) 11.9% against o3 Mini 86.5%, 74.6 points apart on a 0 to 100 scale.
- Output price
- GPT-4o (2024-11-20) $10.00 against o3 Mini $4.40 per million output tokens, 2.3x apart.
- Context window
- GPT-4o (2024-11-20) 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 (2024-11-20) | Bars | o3 Mini | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 5 | ||
| Knowledge | 3 | 1 | ||
| General | 1 | 0 | ||
| All shared boards | 4 | 14 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
| Benchmark | GPT-4o (2024-11-20) | o3 Mini | Leader |
|---|---|---|---|
| Aider polyglot | 18.2% | 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) | 43.4% | 71.5% | o3 Mini |
| 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 | 0.0% | 1.3% | o3 Mini |
| WeirdML | 25.1% | 43.7% | o3 Mini |
| Cybench | 12.5% | 22.5% | o3 Mini |
| LMArena Text: coding | Not measured | 1378 | Only o3 Mini measured |
| LMArena Text: software and IT | Not measured | 1364 | Only o3 Mini measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-11-20) | o3 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 8.4 | 12.5 | o3 Mini |
| 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 (2024-11-20) | o3 Mini | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 31.3% | Only o3 Mini measured |
| TheAgentCompany | 8.6% | Not measured | Only GPT-4o (2024-11-20) measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4o (2024-11-20) | o3 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 53.8% | 75.5% | o3 Mini |
| MMMU Pro (Vals AI) | 62.2% | Not measured | Only GPT-4o (2024-11-20) 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) | 47.9% | 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 | Not measured | 22.8% | Only o3 Mini measured |
| Chess puzzles | Not measured | 15.0% | Only o3 Mini measured |
| Mystery game puzzles | Not measured | 7.0% | Only o3 Mini measured |
| VPCT | 40.0% | Not measured | Only GPT-4o (2024-11-20) measured |
| LMArena Text: hard prompts | Not measured | 1365 | Only o3 Mini measured |
| LMArena Text: expert | Not measured | 1364 | Only o3 Mini measured |
| LMArena Text: hard prompts in English | Not measured | 1375 | Only o3 Mini measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4o (2024-11-20) | o3 Mini | Leader |
|---|---|---|---|
| AIME | 11.9% | 86.5% | o3 Mini |
| MATH 500 (Vals AI) | 74.0% | 91.8% | o3 Mini |
| MGSM (Vals AI) | 90.4% | 91.3% | o3 Mini |
| OTIS Mock AIME | 6.3% | 76.9% | o3 Mini |
| FrontierMath, tiers 1 to 3 | Not measured | 18.6% | Only o3 Mini measured |
| FrontierMath, tier 4 | Not measured | 0.0% | Only o3 Mini measured |
| MATH level 5 | 49.8% | 96.5% | o3 Mini |
| LMArena Text: math | Not measured | 1396 | Only o3 Mini measured |
| LMArena Text: mathematical work | Not measured | 1399 | Only o3 Mini measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | GPT-4o (2024-11-20) | o3 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 72.6% | 78.7% | o3 Mini |
| LegalBench (Vals AI) | 82.2% | 71.5% | GPT-4o (2024-11-20) |
| CaseLaw (Vals AI) | 59.7% | Not measured | Only GPT-4o (2024-11-20) measured |
| CorpFin (Vals AI) | 45.9% | 45.3% | GPT-4o (2024-11-20) |
| TaxEval (Vals AI) | 74.5% | 69.4% | GPT-4o (2024-11-20) |
| MortgageTax (Vals AI) | 57.4% | Not measured | Only GPT-4o (2024-11-20) 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 | Not measured | 15.3% | Only o3 Mini measured |
| GeoBench | 71.0% | Not measured | Only GPT-4o (2024-11-20) measured |
| LMArena Text: science | Not measured | 1339 | Only o3 Mini measured |
| LMArena Text: medicine and healthcare | Not measured | 1330 | Only o3 Mini measured |
| LMArena Text: legal and government | Not measured | 1328 | Only o3 Mini measured |
| LMArena Text: business and finance | Not measured | 1313 | Only o3 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | o3 Mini | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-4o (2024-11-20) | 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) | 81.8% | 61.7% | GPT-4o (2024-11-20) |
| LMArena Text | Not measured | 1337 | Only o3 Mini measured |
| LMArena Text: instruction following | Not measured | 1337 | Only o3 Mini measured |
| LMArena Text: creative writing | Not measured | 1286 | Only o3 Mini measured |
| LMArena Text: English | Not measured | 1351 | Only o3 Mini measured |
| LMArena Text: non-English | Not measured | 1319 | Only o3 Mini measured |
| LMArena Text: Chinese | Not measured | 1379 | Only o3 Mini measured |
| LMArena Text: German | Not measured | 1303 | Only o3 Mini measured |
| LMArena Text: Japanese | Not measured | 1286 | Only o3 Mini measured |
| LMArena Text: Korean | Not measured | 1313 | Only o3 Mini measured |
| LMArena Text: French | Not measured | 1334 | Only o3 Mini measured |
| LMArena Text: Spanish | Not measured | 1321 | Only o3 Mini measured |
| LMArena Text: Russian | Not measured | 1304 | Only o3 Mini measured |
| LMArena Text: Polish | Not measured | 1294 | Only o3 Mini measured |
| LMArena Text: multi-turn | Not measured | 1320 | Only o3 Mini measured |
| LMArena Text: longer queries | Not measured | 1343 | Only o3 Mini measured |
| LMArena Text: writing and language | Not measured | 1313 | Only o3 Mini measured |
| LMArena Text: entertainment and media | Not measured | 1283 | Only o3 Mini measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | 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
o3 Mini costs less
Repository review
50K input + 3K output tokens
o3 Mini costs less
Agent loop
200K input + 10K output tokens
o3 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-4o (2024-11-20) | OpenAI o3 Mini |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | November 20, 2024 | January 31, 2025 |
| Context window | 128K | 200K |
| Input $/Mtok | $2.50 | $1.10 |
| Output $/Mtok | $10.00 | $4.40 |
| Coding index | 18.2 | 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 (2024-11-20) better than o3 Mini for coding?
Pick o3 Mini for coding: it scores 52.1 on the Vibe Coding Index against 18.2 for GPT-4o (2024-11-20). Pick GPT-4o (2024-11-20) when what matters is LegalBench (Vals AI) or CorpFin (Vals AI), where it leads.
Which is cheaper, GPT-4o (2024-11-20) or o3 Mini?
GPT-4o (2024-11-20) costs $2.50 per million input tokens and $10.00 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 (2024-11-20) or o3 Mini?
o3 Mini, with 200K tokens against 128K.
How many benchmarks is the GPT-4o (2024-11-20) vs o3 Mini comparison based on?
18 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-11-20)'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.