GPT-5.4 Mini vs o3
Updated October 21, 2026. 67 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 for coding: it scores 70.7 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini.
Pick GPT-5.4 Mini when output tokens cost 1.8x less, or when the context window is larger, 400K against 200K tokens.
- Shared results
- 67
- GPT-5.4 Mini only
- 21
- o3 only
- 30
- Like-for-like categories
- 7 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
o3 scores 70.7 against 28.2.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 24.1 against 20.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Mini has a AA Agentic Index result, 17.9.
Directional only
Reasoning
GPQA Diamond
o3
o3 leads, 84.1% against 83.1%.
Same board, both measured
Math
AIME
GPT-5.4 Mini
GPT-5.4 Mini leads, 95.6% against 85.3%.
Same board, both measured
Knowledge
MMLU Pro
o3
o3 leads, 85.6% against 84.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only o3 has a Design Arena: websites result, 1036.
Directional only
Long documents
Listed context window
GPT-5.4 Mini
GPT-5.4 Mini takes 400K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Mini
GPT-5.4 Mini $0.0030, o3 $0.0060 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
o3
GPT-5.4 Mini $0.70, o3 $0.571.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.4 Mini 28.2 from 1 benchmark, o3 70.7 from 2 benchmarks.
- Widest category
- Coding, 7.1 points apart on average over 6 shared benchmarks.
- Widest single gap
- SimpleQA Verified: GPT-5.4 Mini 29.4% against o3 49.4%, 20.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Mini $4.50 against o3 $8.00 per million output tokens, 1.8x apart.
- Context window
- GPT-5.4 Mini takes 400K tokens, o3 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-5.4 Mini | Bars | o3 | Ties |
|---|---|---|---|---|
| Coding | 5 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 10 | 4 | ||
| Math | 4 | 1 | ||
| Knowledge | 2 | 7 | ||
| General | 23 | 6 | ||
| All shared boards | 47 | 20 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index51
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 81.3% | Only o3 measured |
| SWE-bench Verified | Not measured | 58.4% | Only o3 measured |
| SWE-bench Multimodal | Not measured | 36.0% | Only o3 measured |
| LMArena WebDev | 1397 | Not measured | Only GPT-5.4 Mini measured |
| AA Coding Index | 56.1 | Not measured | Only GPT-5.4 Mini measured |
| LiveCodeBench (Vals AI) | 81.5% | 83.9% | o3 |
| SWE-bench Verified (Vals AI) | 73.0% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only GPT-5.4 Mini measured |
| Vibe Code Bench (Vals AI) | 48.0% | Not measured | Only GPT-5.4 Mini measured |
| Code migration (Vals AI) | 12.9% | Not measured | Only GPT-5.4 Mini measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | Not measured | Only GPT-5.4 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 80.8% | Only o3 measured |
| SciCode | 52.1% | Not measured | Only GPT-5.4 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | 52.3% | 37.1% | GPT-5.4 Mini |
| FrontierCode | 27.0% | Not measured | Only GPT-5.4 Mini measured |
| GSO-Bench | Not measured | 8.8% | Only o3 measured |
| WeirdML | 60.3% | 52.4% | GPT-5.4 Mini |
| ALE-Bench | 1188.6 | 933.5 | GPT-5.4 Mini |
| LMArena Text: coding | 1438 | 1407 | GPT-5.4 Mini |
| LMArena Text: software and IT | 1436 | 1415 | GPT-5.4 Mini |
| LMArena WebDev: React | 1386 | Not measured | Only GPT-5.4 Mini measured |
| LMArena WebDev: HTML | 1419 | Not measured | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.1 | 20.2 | GPT-5.4 Mini |
| Epoch Capabilities Index | 148.7 | 146.7 | GPT-5.4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| AA Agentic Index | 17.9 | Not measured | Only GPT-5.4 Mini measured |
| Finance Agent (Vals AI) | 45.4% | Not measured | Only GPT-5.4 Mini measured |
| Tax Agent Bench (Vals AI) | 8.8% | Not measured | Only GPT-5.4 Mini measured |
| Legal Research Bench (Vals AI) | 12.5% | Not measured | Only GPT-5.4 Mini measured |
| Excel Modeling Benchmark (Vals AI) | 45.4% | Not measured | Only GPT-5.4 Mini measured |
| τ²-Bench Telecom | 83.3% | 80.7% | GPT-5.4 Mini |
| METR time horizons | Not measured | 65.4% | Only o3 measured |
| GDPval | Not measured | 30.8% | Only o3 measured |
| DeepResearch Bench | 36.3% | 45.2% | o3 |
| OSWorld | Not measured | 23.0% | Only o3 measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index104
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| GPQA Diamond | 83.1% | 84.1% | o3 |
| MMMU Pro (Vals AI) | 79.3% | 80.4% | o3 |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 82.7% | GPT-5.4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 28.1% | 20.1% | GPT-5.4 Mini |
| GPQA Diamond (Epoch AI run) | 86.9% | 81.8% | GPT-5.4 Mini |
| ARC-AGI | 63.7% | 60.8% | GPT-5.4 Mini |
| ARC-AGI-2 | 18.9% | 6.5% | GPT-5.4 Mini |
| SimpleBench | Not measured | 53.1% | Only o3 measured |
| Chess puzzles | 23.0% | 37.0% | o3 |
| Mystery game puzzles | 11.0% | 29.0% | o3 |
| VPCT | Not measured | 52.0% | Only o3 measured |
| LMArena Text: hard prompts | 1424 | 1402 | GPT-5.4 Mini |
| LMArena Text: expert | 1435 | 1402 | GPT-5.4 Mini |
| LMArena Text: hard prompts in English | 1420 | 1411 | GPT-5.4 Mini |
| LMArena Vision: diagrams | 1266 | 1220 | GPT-5.4 Mini |
| LMArena Vision: homework | 1285 | 1234 | GPT-5.4 Mini |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| AIME | 95.6% | 85.3% | GPT-5.4 Mini |
| MATH 500 (Vals AI) | Not measured | 94.6% | Only o3 measured |
| MGSM (Vals AI) | Not measured | 91.8% | Only o3 measured |
| AA Math Index | Not measured | 88.3 | Only o3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 88.3% | Only o3 measured |
| OTIS Mock AIME | 88.9% | 84.4% | GPT-5.4 Mini |
| FrontierMath, tiers 1 to 3 | 51.2% | 33.3% | GPT-5.4 Mini |
| FrontierMath, tier 4 | 9.8% | Not measured | Only GPT-5.4 Mini measured |
| ProofBench | 21.0% | Not measured | Only GPT-5.4 Mini measured |
| MATH level 5 | Not measured | 97.8% | Only o3 measured |
| LMArena Text: math | 1418 | 1426 | o3 |
| LMArena Text: mathematical work | 1429 | 1423 | GPT-5.4 Mini |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index27
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| MMLU Pro | 84.5% | 85.6% | o3 |
| LegalBench (Vals AI) | Not measured | 83.8% | Only o3 measured |
| CaseLaw (Vals AI) | 51.7% | Not measured | Only GPT-5.4 Mini measured |
| CorpFin (Vals AI) | 60.9% | 59.7% | GPT-5.4 Mini |
| TaxEval (Vals AI) | 71.2% | 74.6% | o3 |
| MortgageTax (Vals AI) | 63.5% | 65.7% | o3 |
| MedQA (Vals AI) | Not measured | 96.1% | Only o3 measured |
| MedCode (Vals AI) | Not measured | 47.3% | Only o3 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 85.3% | Only o3 measured |
| SimpleQA Verified | 29.4% | 49.4% | o3 |
| GeoBench | Not measured | 74.0% | Only o3 measured |
| LMArena Text: science | 1417 | 1429 | o3 |
| LMArena Text: medicine and healthcare | 1395 | 1448 | o3 |
| LMArena Text: legal and government | 1414 | 1428 | o3 |
| LMArena Text: business and finance | 1418 | 1393 | GPT-5.4 Mini |
| Neither model has a result on the other 2 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1036 | Only o3 measured |
| Design Arena: UI components | Not measured | 1016 | Only o3 measured |
| Design Arena: game dev | Not measured | 1034 | Only o3 measured |
| Design Arena: data viz | Not measured | 1200 | Only o3 measured |
| Design Arena: all code categories | Not measured | 1021 | Only o3 measured |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index236
| Benchmark | GPT-5.4 Mini | o3 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 50.8% | 41.8% | GPT-5.4 Mini |
| MedScribe (Vals AI) | Not measured | 76.7% | Only o3 measured |
| Vals Multimodal Index | 54.2% | Not measured | Only GPT-5.4 Mini measured |
| IFBench | 73.3% | 71.4% | GPT-5.4 Mini |
| Long context reasoning (AA-LCR) | 77.0% | 74.7% | GPT-5.4 Mini |
| DTBench | 80.0% | 84.8% | o3 |
| LMCA | 40.8% | 39.7% | GPT-5.4 Mini |
| Fiction.LiveBench | Not measured | 88.9% | Only o3 measured |
| Creative writing (Lech Mazur) | Not measured | 83.9% | Only o3 measured |
| CL-bench | Not measured | 17.8% | Only o3 measured |
| LMArena Text | 1412 | 1410 | GPT-5.4 Mini |
| LMArena Text: instruction following | 1405 | 1368 | GPT-5.4 Mini |
| LMArena Text: creative writing | 1370 | 1359 | GPT-5.4 Mini |
| LMArena Vision | 1245 | 1214 | GPT-5.4 Mini |
| LMArena Text: English | 1412 | 1417 | o3 |
| LMArena Text: non-English | 1405 | 1401 | GPT-5.4 Mini |
| LMArena Text: Chinese | 1446 | 1437 | GPT-5.4 Mini |
| LMArena Text: German | 1408 | 1420 | o3 |
| LMArena Text: Japanese | 1375 | 1403 | o3 |
| LMArena Text: Korean | 1370 | 1370 | GPT-5.4 Mini |
| LMArena Text: French | 1441 | 1430 | GPT-5.4 Mini |
| LMArena Text: Spanish | 1405 | 1395 | GPT-5.4 Mini |
| LMArena Text: Russian | 1417 | 1406 | GPT-5.4 Mini |
| LMArena Text: Polish | 1415 | 1438 | o3 |
| LMArena Text: multi-turn | 1429 | 1405 | GPT-5.4 Mini |
| LMArena Text: longer queries | 1408 | 1372 | GPT-5.4 Mini |
| LMArena Text: writing and language | 1393 | 1372 | GPT-5.4 Mini |
| LMArena Text: entertainment and media | 1373 | 1373 | GPT-5.4 Mini |
| LMArena Vision: English | 1244 | 1221 | GPT-5.4 Mini |
| LMArena Vision: Chinese | 1286 | 1237 | GPT-5.4 Mini |
| LMArena Vision: reading text | 1253 | 1218 | GPT-5.4 Mini |
| LMArena Vision: humor | 1235 | 1222 | GPT-5.4 Mini |
| LMArena Vision: captioning | Not measured | 1210 | Only o3 measured |
| LMArena Vision: recognizing things | 1218 | 1234 | o3 |
| LMArena Vision: creative writing | 1222 | 1201 | GPT-5.4 Mini |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 Mini | o3 | 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-5.4 Mini costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 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-5.4 Mini | OpenAI o3 |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | March 17, 2026 | April 16, 2025 |
| Context window | 400K | 200K |
| Input $/Mtok | $0.75 | $2.00 |
| Output $/Mtok | $4.50 | $8.00 |
| Coding index | 28.2 | 70.7 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.70 | $0.571 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Mini better than o3 for coding?
Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini. Pick GPT-5.4 Mini when output tokens cost 1.8x less, or when the context window is larger, 400K against 200K tokens.
Which is cheaper, GPT-5.4 Mini or o3?
GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; o3 costs $2.00 and $8.00. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and o3 $0.571.
Which has the bigger context window, GPT-5.4 Mini or o3?
GPT-5.4 Mini, with 400K tokens against 200K.
How many benchmarks is the GPT-5.4 Mini vs o3 comparison based on?
67 benchmarks have a result for both models as of October 21, 2026. GPT-5.4 Mini's coding index rests on 1 independent benchmark and o3's on 2. Where only one model has a result, the page says so instead of naming a winner.