GPT-4o (2024-11-20) vs GPT-4o-mini
GPT-4o (2024-11-20) leads GPT-4o-mini on the Artificial Analysis Intelligence Index, 8.4 to 6.7, and GPT-4o-mini costs 16.7x less per output token ($0.60 vs $10.00 per million). Updated October 22, 2026; 11 benchmarks have a result for both.
GPT-4o (2024-11-20) or GPT-4o-mini: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 11
- GPT-4o (2024-11-20) only
- 13
- GPT-4o-mini only
- 18
- Like-for-like categories
- 5 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-4o (2024-11-20)
GPT-4o (2024-11-20) leads, 8.4 against 6.7.
Same board, both measured
Reasoning
GPQA Diamond
GPT-4o (2024-11-20)
GPT-4o (2024-11-20) leads, 53.8% against 44.2%.
Same board, both measured
Math
AIME
GPT-4o (2024-11-20)
GPT-4o (2024-11-20) leads, 11.9% against 11.5%.
Same board, both measured
Knowledge
MMLU Pro
GPT-4o (2024-11-20)
GPT-4o (2024-11-20) leads, 72.6% against 62.7%.
Same board, both measured
Long documents
Listed context window
No call
Both take 128K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4o-mini
GPT-4o (2024-11-20) $0.0075, GPT-4o-mini $0.0004 per turn.
List prices
At a glance
- Coding index
- GPT-4o (2024-11-20) not benchmarked, GPT-4o-mini not benchmarked.
- Widest category
- Coding, 17.0 points apart on average over 1 shared benchmark.
- Widest single gap
- LiveCodeBench (Vals AI): GPT-4o (2024-11-20) 43.4% against GPT-4o-mini 26.4%, 17.0 points apart on a 0 to 100 scale.
- Output price
- GPT-4o (2024-11-20) $10.00 against GPT-4o-mini $0.60 per million output tokens, 16.7x apart.
- Context window
- Both take 128K tokens.
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 | GPT-4o-mini | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| All shared boards | 11 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| Aider polyglot | 18.2% | Not measured | Only GPT-4o (2024-11-20) measured |
| AA Coding Index | Not measured | 11.4 | Only GPT-4o-mini measured |
| LiveCodeBench (Vals AI) | 43.4% | 26.4% | GPT-4o (2024-11-20) |
| LiveCodeBench (Artificial Analysis run) | Not measured | 23.4% | Only GPT-4o-mini measured |
| GSO-Bench | 0.0% | Not measured | Only GPT-4o (2024-11-20) measured |
| WeirdML | 25.1% | Not measured | Only GPT-4o (2024-11-20) measured |
| Cybench | 12.5% | Not measured | Only GPT-4o (2024-11-20) measured |
| SciCode | Not measured | 1.5% | Only GPT-4o-mini measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 8.4 | 6.7 | GPT-4o (2024-11-20) |
| Epoch Capabilities Index | Not measured | 126.5 | Only GPT-4o-mini measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| TheAgentCompany | 8.6% | Not measured | Only GPT-4o (2024-11-20) measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| GPQA Diamond | 53.8% | 44.2% | GPT-4o (2024-11-20) |
| MMMU Pro (Vals AI) | 62.2% | 56.6% | GPT-4o (2024-11-20) |
| GPQA Diamond (Artificial Analysis run) | Not measured | 42.6% | Only GPT-4o-mini measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 4.2% | Only GPT-4o-mini measured |
| GPQA Diamond (Epoch AI run) | 47.9% | Not measured | Only GPT-4o (2024-11-20) measured |
| ARC-AGI-2 | Not measured | 0.0% | Only GPT-4o-mini measured |
| VPCT | 40.0% | Not measured | Only GPT-4o (2024-11-20) measured |
| Kagi LLM Benchmark | Not measured | 28.8% | Only GPT-4o-mini measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| AIME | 11.9% | 11.5% | GPT-4o (2024-11-20) |
| MATH 500 (Vals AI) | 74.0% | 72.6% | GPT-4o (2024-11-20) |
| MGSM (Vals AI) | 90.4% | 86.2% | GPT-4o (2024-11-20) |
| AA Math Index | Not measured | 14.7 | Only GPT-4o-mini measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 14.7% | Only GPT-4o-mini measured |
| OTIS Mock AIME | 6.3% | Not measured | Only GPT-4o (2024-11-20) measured |
| MATH level 5 | 49.8% | Not measured | Only GPT-4o (2024-11-20) measured |
| GSM8K | Not measured | 91.3% | Only GPT-4o-mini measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| MMLU Pro | 72.6% | 62.7% | GPT-4o (2024-11-20) |
| LegalBench (Vals AI) | 82.2% | Not measured | Only GPT-4o (2024-11-20) measured |
| CaseLaw (Vals AI) | 59.7% | Not measured | Only GPT-4o (2024-11-20) measured |
| CorpFin (Vals AI) | 45.9% | 45.5% | GPT-4o (2024-11-20) |
| TaxEval (Vals AI) | 74.5% | 60.5% | GPT-4o (2024-11-20) |
| MortgageTax (Vals AI) | 57.4% | 54.5% | GPT-4o (2024-11-20) |
| MedQA (Vals AI) | Not measured | 72.4% | Only GPT-4o-mini measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 64.8% | Only GPT-4o-mini measured |
| MMLU | Not measured | 81.8% | Only GPT-4o-mini measured |
| GeoBench | 71.0% | Not measured | Only GPT-4o (2024-11-20) measured |
| Neither model has a result on the other 10 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-mini | Leader |
|---|---|---|---|
| IFBench | Not measured | 31.0% | Only GPT-4o-mini measured |
| DTBench | Not measured | 54.4% | Only GPT-4o-mini measured |
| LMCA | Not measured | 10.4% | Only GPT-4o-mini measured |
| Creative writing (Lech Mazur) | 81.8% | Not measured | Only GPT-4o (2024-11-20) measured |
| PIQA | Not measured | 88.7% | Only GPT-4o-mini measured |
| Neither model has a result on the other 43 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-11-20) | GPT-4o-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 costs less
Repository review
50K input + 3K output tokens
GPT-4o-mini costs less
Agent loop
200K input + 10K output tokens
GPT-4o-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 GPT-4o-mini |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | November 20, 2024 | July 18, 2024 |
| Context window | 128K | 128K |
| Input $/Mtok | $2.50 | $0.15 |
| Output $/Mtok | $10.00 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o (2024-11-20) better than GPT-4o-mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, GPT-4o (2024-11-20) or GPT-4o-mini?
GPT-4o (2024-11-20) costs $2.50 per million input tokens and $10.00 per million output tokens; GPT-4o-mini costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o (2024-11-20) or GPT-4o-mini?
Neither: both take 128K tokens.
How many benchmarks is the GPT-4o (2024-11-20) vs GPT-4o-mini comparison based on?
11 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-11-20)'s coding index rests on 0 independent benchmarks and GPT-4o-mini's on 0. Where only one model has a result, the page says so instead of naming a winner.