GPT-5.4 Mini vs gpt-oss-120b
GPT-5.4 Mini leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 24.1 to 11.6, and gpt-oss-120b costs 9.0x less per output token ($0.50 vs $4.50 per million). Updated October 22, 2026; 55 benchmarks have a result for both.
GPT-5.4 Mini or gpt-oss-120b: which to pick
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.
Pick gpt-oss-120b for output tokens 9.0x cheaper ($0.50 vs $4.50 per million) and a lower cost per solved task ($0.51 against $0.70).
- Shared results
- 55
- GPT-5.4 Mini only
- 34
- gpt-oss-120b only
- 26
- 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
Only GPT-5.4 Mini has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 24.1 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 17.9 against 3.7.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.4 Mini
GPT-5.4 Mini leads, 83.1% against 78.5%.
Same board, both measured
Math
AIME
GPT-5.4 Mini
GPT-5.4 Mini leads, 95.6% against 92.6%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.4 Mini
GPT-5.4 Mini leads, 84.5% against 79.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only gpt-oss-120b has a Design Arena: websites result, 967.
Directional only
Long documents
Listed context window
GPT-5.4 Mini
GPT-5.4 Mini takes 400K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-120b
GPT-5.4 Mini $0.0030, gpt-oss-120b $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
gpt-oss-120b
GPT-5.4 Mini $0.70, gpt-oss-120b $0.51.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.4 Mini 35.8 from 5 benchmarks, gpt-oss-120b not benchmarked.
- Widest category
- Coding, 18.3 points apart on average over 9 shared benchmarks.
- Widest single gap
- SWE-bench Verified (Vals AI): GPT-5.4 Mini 73.0% against gpt-oss-120b 33.6%, 39.4 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Mini $4.50 against gpt-oss-120b $0.50 per million output tokens, 9.0x apart.
- Context window
- GPT-5.4 Mini takes 400K tokens, gpt-oss-120b 131K.
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 | gpt-oss-120b | Ties |
|---|---|---|---|---|
| Coding | 8 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 8 | 1 | ||
| Math | 3 | 0 | 1 tie | |
| Knowledge | 7 | 1 | ||
| General | 21 | 0 | ||
| All shared boards | 51 | 3 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
| Benchmark | GPT-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 41.8% | Only gpt-oss-120b measured |
| SWE-bench Verified | Not measured | 26.0% | Only gpt-oss-120b measured |
| LMArena WebDev | 1397 | Not measured | Only GPT-5.4 Mini measured |
| AA Coding Index | 56.1 | 30.4 | GPT-5.4 Mini |
| LiveCodeBench (Vals AI) | 81.5% | 83.2% | gpt-oss-120b |
| SWE-bench Verified (Vals AI) | 73.0% | 33.6% | GPT-5.4 Mini |
| 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 | 87.8% | Only gpt-oss-120b measured |
| SciCode | 52.1% | 34.0% | GPT-5.4 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 52.3% | 23.5% | GPT-5.4 Mini |
| Terminal-Bench | Not measured | 18.7% | Only gpt-oss-120b measured |
| FrontierCode | 27.0% | Not measured | Only GPT-5.4 Mini measured |
| WeirdML | 60.3% | 48.2% | GPT-5.4 Mini |
| ALE-Bench | 1188.6 | 575.6 | GPT-5.4 Mini |
| LMArena Text: coding | 1438 | 1379 | GPT-5.4 Mini |
| LMArena Text: software and IT | 1436 | 1387 | 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 |
| SciCode | Not measured | 7.7% | Only gpt-oss-120b measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.1 | 11.6 | GPT-5.4 Mini |
| Epoch Capabilities Index | 148.7 | 139.8 | GPT-5.4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Agentic Index | 17.9 | 3.7 | GPT-5.4 Mini |
| 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% | 65.8% | GPT-5.4 Mini |
| APEX-Agents | Not measured | 4.4% | Only gpt-oss-120b measured |
| METR time horizons | Not measured | 56.6% | Only gpt-oss-120b measured |
| DeepResearch Bench | 36.3% | Not measured | Only GPT-5.4 Mini measured |
| Vending-Bench 2 | Not measured | -$22 | Only gpt-oss-120b measured |
| BrowseComp-Plus | Not measured | 67.0% | Only gpt-oss-120b measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
| Benchmark | GPT-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| GPQA Diamond | 83.1% | 78.5% | GPT-5.4 Mini |
| MMMU Pro (Vals AI) | 79.3% | Not measured | Only GPT-5.4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 78.2% | GPT-5.4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 28.1% | 19.6% | GPT-5.4 Mini |
| GPQA Diamond (Epoch AI run) | 86.9% | 75.8% | GPT-5.4 Mini |
| ARC-AGI | 63.7% | Not measured | Only GPT-5.4 Mini measured |
| ARC-AGI-2 | 18.9% | Not measured | Only GPT-5.4 Mini measured |
| SimpleBench | Not measured | 22.1% | Only gpt-oss-120b measured |
| Chess puzzles | 23.0% | Not measured | Only GPT-5.4 Mini measured |
| Mystery game puzzles | 11.0% | 2.0% | GPT-5.4 Mini |
| LMArena Text: hard prompts | 1424 | 1364 | GPT-5.4 Mini |
| LMArena Text: expert | 1435 | 1356 | GPT-5.4 Mini |
| LMArena Text: hard prompts in English | 1420 | 1368 | GPT-5.4 Mini |
| LMArena Vision: diagrams | 1266 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: homework | 1285 | Not measured | Only GPT-5.4 Mini measured |
| Kagi LLM Benchmark | 37.9% | 58.6% | gpt-oss-120b |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| AIME | 95.6% | 92.6% | GPT-5.4 Mini |
| MATH 500 (Vals AI) | Not measured | 94.8% | Only gpt-oss-120b measured |
| MGSM (Vals AI) | Not measured | 92.0% | Only gpt-oss-120b measured |
| AA Math Index | Not measured | 93.4 | Only gpt-oss-120b measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 93.4% | Only gpt-oss-120b measured |
| OTIS Mock AIME | 88.9% | 88.9% | Tie |
| FrontierMath, tiers 1 to 3 | 51.2% | Not measured | Only GPT-5.4 Mini measured |
| FrontierMath, tier 4 | 9.8% | Not measured | Only GPT-5.4 Mini measured |
| ProofBench | 21.0% | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: math | 1418 | 1389 | GPT-5.4 Mini |
| LMArena Text: mathematical work | 1429 | 1386 | GPT-5.4 Mini |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | GPT-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| MMLU Pro | 84.5% | 79.2% | GPT-5.4 Mini |
| LegalBench (Vals AI) | Not measured | 75.9% | Only gpt-oss-120b measured |
| CaseLaw (Vals AI) | 51.7% | 48.8% | GPT-5.4 Mini |
| CorpFin (Vals AI) | 60.9% | 58.2% | GPT-5.4 Mini |
| TaxEval (Vals AI) | 71.2% | 71.6% | gpt-oss-120b |
| MortgageTax (Vals AI) | 63.5% | Not measured | Only GPT-5.4 Mini measured |
| MedQA (Vals AI) | Not measured | 91.4% | Only gpt-oss-120b measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.8% | Only gpt-oss-120b measured |
| SimpleQA Verified | 29.4% | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: science | 1417 | 1382 | GPT-5.4 Mini |
| LMArena Text: medicine and healthcare | 1395 | 1388 | GPT-5.4 Mini |
| LMArena Text: legal and government | 1414 | 1355 | GPT-5.4 Mini |
| LMArena Text: business and finance | 1418 | 1359 | GPT-5.4 Mini |
| 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-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 967 | Only gpt-oss-120b measured |
| Design Arena: UI components | Not measured | 924 | Only gpt-oss-120b measured |
| Design Arena: game dev | Not measured | 992 | Only gpt-oss-120b measured |
| Design Arena: data viz | Not measured | 987 | Only gpt-oss-120b measured |
| Design Arena: 3D | Not measured | 901 | Only gpt-oss-120b measured |
| Design Arena: all code categories | Not measured | 962 | Only gpt-oss-120b 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-5.4 Mini | gpt-oss-120b | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 50.8% | Not measured | Only GPT-5.4 Mini measured |
| Vals Multimodal Index | 54.2% | Not measured | Only GPT-5.4 Mini measured |
| IFBench | 73.3% | 69.0% | GPT-5.4 Mini |
| Long context reasoning (AA-LCR) | 77.0% | 52.0% | GPT-5.4 Mini |
| DTBench | 80.0% | 76.3% | GPT-5.4 Mini |
| LMCA | 40.8% | 22.1% | GPT-5.4 Mini |
| Fiction.LiveBench | Not measured | 44.4% | Only gpt-oss-120b measured |
| Creative writing (Lech Mazur) | Not measured | 77.1% | Only gpt-oss-120b measured |
| Surface Evolver Bench | Not measured | 25.0% | Only gpt-oss-120b measured |
| LMArena Text | 1412 | 1366 | GPT-5.4 Mini |
| LMArena Text: instruction following | 1405 | 1318 | GPT-5.4 Mini |
| LMArena Text: creative writing | 1370 | 1274 | GPT-5.4 Mini |
| LMArena Vision | 1245 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: English | 1412 | 1375 | GPT-5.4 Mini |
| LMArena Text: non-English | 1405 | 1351 | GPT-5.4 Mini |
| LMArena Text: Chinese | 1446 | 1385 | GPT-5.4 Mini |
| LMArena Text: German | 1408 | 1353 | GPT-5.4 Mini |
| LMArena Text: Japanese | 1375 | 1331 | GPT-5.4 Mini |
| LMArena Text: Korean | 1370 | 1282 | GPT-5.4 Mini |
| LMArena Text: French | 1441 | 1370 | GPT-5.4 Mini |
| LMArena Text: Spanish | 1405 | 1389 | GPT-5.4 Mini |
| LMArena Text: Russian | 1417 | 1343 | GPT-5.4 Mini |
| LMArena Text: Polish | 1415 | 1353 | GPT-5.4 Mini |
| LMArena Text: multi-turn | 1429 | 1340 | GPT-5.4 Mini |
| LMArena Text: longer queries | 1408 | 1319 | GPT-5.4 Mini |
| LMArena Text: writing and language | 1393 | 1306 | GPT-5.4 Mini |
| LMArena Text: entertainment and media | 1373 | 1292 | GPT-5.4 Mini |
| LMArena Vision: English | 1244 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: Chinese | 1286 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: reading text | 1253 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: humor | 1235 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: recognizing things | 1218 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: creative writing | 1222 | Not measured | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 Mini | gpt-oss-120b | 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-oss-120b costs less
Repository review
50K input + 3K output tokens
gpt-oss-120b costs less
Agent loop
200K input + 10K output tokens
gpt-oss-120b 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 gpt-oss-120b |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | Open weights |
| Released | March 17, 2026 | August 5, 2025 |
| Context window | 400K | 131K |
| Input $/Mtok | $0.75 | $0.10 |
| Output $/Mtok | $4.50 | $0.50 |
| Coding index | 35.8 | Not benchmarked |
| Independent measurements behind it | 5 | 1 |
| Cost per solved task | $0.70 | $0.51 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Mini better than gpt-oss-120b for coding?
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 9.0x cheaper ($0.50 vs $4.50 per million) and a lower cost per solved task ($0.51 against $0.70).
Which is cheaper, GPT-5.4 Mini or gpt-oss-120b?
GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and gpt-oss-120b $0.51.
Which has the bigger context window, GPT-5.4 Mini or gpt-oss-120b?
GPT-5.4 Mini, with 400K tokens against 131K.
How many benchmarks is the GPT-5.4 Mini vs gpt-oss-120b comparison based on?
55 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and gpt-oss-120b's on 1. Where only one model has a result, the page says so instead of naming a winner.