GPT-5.4 Mini vs GPT-5.6 Terra
Updated October 21, 2026. 84 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-5.6 Terra for coding: it scores 69.0 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini.
Pick GPT-5.4 Mini when output tokens cost 2.7x less, or when what matters is SAGE (Vals AI) or IFBench, where it leads.
- Shared results
- 84
- GPT-5.4 Mini only
- 4
- GPT-5.6 Terra only
- 40
- 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
GPT-5.6 Terra
GPT-5.6 Terra scores 69.0 against 28.2.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Terra
GPT-5.6 Terra leads, 42.1 against 24.1.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Terra
GPT-5.6 Terra leads, 43.2 against 17.9.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Terra
GPT-5.6 Terra leads, 90.9% against 83.1%.
Same board, both measured
Math
AIME
No call
Only GPT-5.4 Mini has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
GPT-5.6 Terra
GPT-5.6 Terra leads, 86.7% against 84.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-5.6 Terra has a Design Arena: websites result, 1269.
Directional only
Long documents
Listed context window
GPT-5.6 Terra
GPT-5.6 Terra takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Mini
GPT-5.4 Mini $0.0030, GPT-5.6 Terra $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Terra
GPT-5.4 Mini $0.70, GPT-5.6 Terra $0.42.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.4 Mini 28.2 from 1 benchmark, GPT-5.6 Terra 69.0 from 2 benchmarks.
- Widest category
- Math, 29.3 points apart on average over 6 shared benchmarks.
- Widest single gap
- ARC-AGI-2: GPT-5.4 Mini 18.9% against GPT-5.6 Terra 83.9%, 65.0 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Mini $4.50 against GPT-5.6 Terra $12.00 per million output tokens, 2.7x apart.
- Context window
- GPT-5.4 Mini takes 400K tokens, GPT-5.6 Terra 1.05M.
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-5.6 Terra | Ties |
|---|---|---|---|---|
| Coding | 0 | 18 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 6 | ||
| Reasoning | 0 | 14 | ||
| Math | 0 | 6 | ||
| Knowledge | 0 | 9 | ||
| General | 2 | 27 | ||
| All shared boards | 2 | 82 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index018
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 86.2% | Only GPT-5.6 Terra measured |
| LMArena WebDev | 1397 | 1522 | GPT-5.6 Terra |
| AA Coding Index | 56.1 | 76.7 | GPT-5.6 Terra |
| LiveCodeBench (Vals AI) | 81.5% | 85.9% | GPT-5.6 Terra |
| SWE-bench Verified (Vals AI) | 73.0% | 95.4% | GPT-5.6 Terra |
| Terminal-Bench 4 (Vals AI) | 2.5% | 22.7% | GPT-5.6 Terra |
| Vibe Code Bench (Vals AI) | 48.0% | 74.6% | GPT-5.6 Terra |
| Code migration (Vals AI) | 12.9% | 47.8% | GPT-5.6 Terra |
| ProgramBench (Vals AI) | 0.0% | 0.5% | GPT-5.6 Terra |
| IOI (Vals AI) | Not measured | 87.6% | Only GPT-5.6 Terra measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 77.5% | GPT-5.6 Terra |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.8% | Only GPT-5.6 Terra measured |
| SkillsBench (Vals AI) | Not measured | 58.9% | Only GPT-5.6 Terra measured |
| CyberBench (Vals AI) | Not measured | 72.1% | Only GPT-5.6 Terra measured |
| SciCode | 52.1% | 55.0% | GPT-5.6 Terra |
| Terminal-Bench Hard (Artificial Analysis run) | 52.3% | 62.9% | GPT-5.6 Terra |
| FrontierCode | 27.0% | 41.3% | GPT-5.6 Terra |
| WeirdML | 60.3% | 78.3% | GPT-5.6 Terra |
| ALE-Bench | 1188.6 | 1951.4 | GPT-5.6 Terra |
| LMArena Text: coding | 1438 | 1485 | GPT-5.6 Terra |
| LMArena Text: software and IT | 1436 | 1482 | GPT-5.6 Terra |
| LMArena WebDev: React | 1386 | 1513 | GPT-5.6 Terra |
| LMArena WebDev: HTML | 1419 | 1526 | GPT-5.6 Terra |
| LMArena WebDev: from an image | Not measured | 1541 | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.1 | 42.1 | GPT-5.6 Terra |
| Epoch Capabilities Index | 148.7 | 160.1 | GPT-5.6 Terra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| AA Agentic Index | 17.9 | 43.2 | GPT-5.6 Terra |
| Design Arena: agents building web apps | Not measured | 1120 | Only GPT-5.6 Terra measured |
| Design Arena: agents building full-stack apps | Not measured | 1061 | Only GPT-5.6 Terra measured |
| Design Arena: agents building mobile apps | Not measured | 1112 | Only GPT-5.6 Terra measured |
| Design Arena: agents building Android apps | Not measured | 1066 | Only GPT-5.6 Terra measured |
| Design Arena: agents building games | Not measured | 1082 | Only GPT-5.6 Terra measured |
| Design Arena: HTML slides | Not measured | 1108 | Only GPT-5.6 Terra measured |
| Design Arena: PowerPoint slides | Not measured | 1130 | Only GPT-5.6 Terra measured |
| LiveBench research | Not measured | 60.4% | Only GPT-5.6 Terra measured |
| LiveBench browser | Not measured | 84.0% | Only GPT-5.6 Terra measured |
| LiveBench long agentic | Not measured | 48.4% | Only GPT-5.6 Terra measured |
| SREBench (Vals AI) | Not measured | 9.5% | Only GPT-5.6 Terra measured |
| Finance Agent (Vals AI) | 45.4% | 54.4% | GPT-5.6 Terra |
| Tax Agent Bench (Vals AI) | 8.8% | 30.0% | GPT-5.6 Terra |
| Legal Research Bench (Vals AI) | 12.5% | 41.4% | GPT-5.6 Terra |
| Excel Modeling Benchmark (Vals AI) | 45.4% | 66.2% | GPT-5.6 Terra |
| Terminal-Bench-Science (Vals AI) | Not measured | 10.0% | Only GPT-5.6 Terra measured |
| τ²-Bench Telecom | 83.3% | 86.3% | GPT-5.6 Terra |
| APEX-Agents | Not measured | 58.2% | Only GPT-5.6 Terra measured |
| BALROG | Not measured | 53.2% | Only GPT-5.6 Terra measured |
| DeepResearch Bench | 36.3% | Not measured | Only GPT-5.4 Mini measured |
| Vending-Bench 2 | Not measured | $7,343 | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index014
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| GPQA Diamond | 83.1% | 90.9% | GPT-5.6 Terra |
| LiveBench reasoning | Not measured | 90.6% | Only GPT-5.6 Terra measured |
| MMMU Pro (Vals AI) | 79.3% | 86.5% | GPT-5.6 Terra |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 92.5% | GPT-5.6 Terra |
| Humanity's Last Exam (Artificial Analysis run) | 28.1% | 42.9% | GPT-5.6 Terra |
| GPQA Diamond (Epoch AI run) | 86.9% | 93.3% | GPT-5.6 Terra |
| ARC-AGI | 63.7% | 96.5% | GPT-5.6 Terra |
| ARC-AGI-2 | 18.9% | 83.9% | GPT-5.6 Terra |
| SimpleBench | Not measured | 48.9% | Only GPT-5.6 Terra measured |
| Chess puzzles | 23.0% | 47.0% | GPT-5.6 Terra |
| Mystery game puzzles | 11.0% | 35.0% | GPT-5.6 Terra |
| LMArena Text: hard prompts | 1424 | 1469 | GPT-5.6 Terra |
| LMArena Text: expert | 1435 | 1496 | GPT-5.6 Terra |
| LMArena Text: hard prompts in English | 1420 | 1465 | GPT-5.6 Terra |
| LMArena Vision: diagrams | 1266 | 1295 | GPT-5.6 Terra |
| LMArena Vision: homework | 1285 | 1312 | GPT-5.6 Terra |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only GPT-5.4 Mini measured |
| OTIS Mock AIME | 88.9% | 99.7% | GPT-5.6 Terra |
| FrontierMath, tiers 1 to 3 | 51.2% | 86.0% | GPT-5.6 Terra |
| FrontierMath, tier 4 | 9.8% | 70.7% | GPT-5.6 Terra |
| ProofBench | 21.0% | 74.0% | GPT-5.6 Terra |
| LMArena Text: math | 1418 | 1465 | GPT-5.6 Terra |
| LMArena Text: mathematical work | 1429 | 1478 | GPT-5.6 Terra |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| MMLU Pro | 84.5% | 86.7% | GPT-5.6 Terra |
| LegalBench (Vals AI) | Not measured | 85.1% | Only GPT-5.6 Terra measured |
| CaseLaw (Vals AI) | 51.7% | Not measured | Only GPT-5.4 Mini measured |
| CorpFin (Vals AI) | 60.9% | 65.3% | GPT-5.6 Terra |
| TaxEval (Vals AI) | 71.2% | 76.2% | GPT-5.6 Terra |
| MortgageTax (Vals AI) | 63.5% | 67.3% | GPT-5.6 Terra |
| MedCode (Vals AI) | Not measured | 43.4% | Only GPT-5.6 Terra measured |
| SimpleQA Verified | 29.4% | 43.2% | GPT-5.6 Terra |
| LMArena Text: science | 1417 | 1452 | GPT-5.6 Terra |
| LMArena Text: medicine and healthcare | 1395 | 1430 | GPT-5.6 Terra |
| LMArena Text: legal and government | 1414 | 1461 | GPT-5.6 Terra |
| LMArena Text: business and finance | 1418 | 1448 | GPT-5.6 Terra |
| Neither model has a result on the other 5 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1269 | Only GPT-5.6 Terra measured |
| Design Arena: UI components | Not measured | 1259 | Only GPT-5.6 Terra measured |
| Design Arena: game dev | Not measured | 1230 | Only GPT-5.6 Terra measured |
| Design Arena: data viz | Not measured | 1240 | Only GPT-5.6 Terra measured |
| Design Arena: 3D | Not measured | 1135 | Only GPT-5.6 Terra measured |
| Design Arena: all code categories | Not measured | 1241 | Only GPT-5.6 Terra measured |
| Design Arena: SVG | Not measured | 1220 | Only GPT-5.6 Terra measured |
| Design Arena: ASCII art | Not measured | 1177 | Only GPT-5.6 Terra measured |
| LiveBench design | Not measured | 76.0% | Only GPT-5.6 Terra measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index227
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 79.3% | Only GPT-5.6 Terra measured |
| Public Benefits Bench (Vals AI) | Not measured | 62.4% | Only GPT-5.6 Terra measured |
| SAGE (Vals AI) | 50.8% | 47.0% | GPT-5.4 Mini |
| MedScribe (Vals AI) | Not measured | 82.9% | Only GPT-5.6 Terra measured |
| Vals Multimodal Index | 54.2% | 65.1% | GPT-5.6 Terra |
| IFBench | 73.3% | 71.2% | GPT-5.4 Mini |
| Long context reasoning (AA-LCR) | 77.0% | 83.0% | GPT-5.6 Terra |
| DTBench | 80.0% | 93.3% | GPT-5.6 Terra |
| LMCA | 40.8% | 54.9% | GPT-5.6 Terra |
| Surface Evolver Bench | Not measured | 83.8% | Only GPT-5.6 Terra measured |
| Furniture assembly | Not measured | 54.2% | Only GPT-5.6 Terra measured |
| LMArena Text | 1412 | 1448 | GPT-5.6 Terra |
| LMArena Text: instruction following | 1405 | 1456 | GPT-5.6 Terra |
| LMArena Text: creative writing | 1370 | 1413 | GPT-5.6 Terra |
| LMArena Vision | 1245 | 1271 | GPT-5.6 Terra |
| LMArena Text: English | 1412 | 1449 | GPT-5.6 Terra |
| LMArena Text: non-English | 1405 | 1441 | GPT-5.6 Terra |
| LMArena Text: Chinese | 1446 | 1514 | GPT-5.6 Terra |
| LMArena Text: German | 1408 | 1460 | GPT-5.6 Terra |
| LMArena Text: Japanese | 1375 | 1454 | GPT-5.6 Terra |
| LMArena Text: Korean | 1370 | 1427 | GPT-5.6 Terra |
| LMArena Text: French | 1441 | 1466 | GPT-5.6 Terra |
| LMArena Text: Spanish | 1405 | 1451 | GPT-5.6 Terra |
| LMArena Text: Russian | 1417 | 1452 | GPT-5.6 Terra |
| LMArena Text: Polish | 1415 | 1446 | GPT-5.6 Terra |
| LMArena Text: multi-turn | 1429 | 1453 | GPT-5.6 Terra |
| LMArena Text: longer queries | 1408 | 1454 | GPT-5.6 Terra |
| LMArena Text: writing and language | 1393 | 1431 | GPT-5.6 Terra |
| LMArena Text: entertainment and media | 1373 | 1418 | GPT-5.6 Terra |
| LMArena Vision: English | 1244 | 1272 | GPT-5.6 Terra |
| LMArena Vision: Chinese | 1286 | 1337 | GPT-5.6 Terra |
| LMArena Vision: reading text | 1253 | 1278 | GPT-5.6 Terra |
| LMArena Vision: humor | 1235 | 1236 | GPT-5.6 Terra |
| LMArena Vision: recognizing things | 1218 | Not measured | Only GPT-5.4 Mini measured |
| LMArena Vision: creative writing | 1222 | 1248 | GPT-5.6 Terra |
| LMArena Document | Not measured | 1472 | Only GPT-5.6 Terra measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 Mini | GPT-5.6 Terra | 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 GPT-5.6 Terra |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | March 17, 2026 | July 9, 2026 |
| Context window | 400K | 1.05M |
| Input $/Mtok | $0.75 | $2.00 |
| Output $/Mtok | $4.50 | $12.00 |
| Coding index | 28.2 | 69.0 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.70 | $0.42 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Mini better than GPT-5.6 Terra for coding?
Pick GPT-5.6 Terra for coding: it scores 69.0 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini. Pick GPT-5.4 Mini when output tokens cost 2.7x less, or when what matters is SAGE (Vals AI) or IFBench, where it leads.
Which is cheaper, GPT-5.4 Mini or GPT-5.6 Terra?
GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and GPT-5.6 Terra $0.42.
Which has the bigger context window, GPT-5.4 Mini or GPT-5.6 Terra?
GPT-5.6 Terra, with 1.05M tokens against 400K.
How many benchmarks is the GPT-5.4 Mini vs GPT-5.6 Terra comparison based on?
84 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 GPT-5.6 Terra's on 2. Where only one model has a result, the page says so instead of naming a winner.