Command A vs GPT-5.4 Mini
Updated October 21, 2026. 50 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.
Command A has the edge where what matters is CaseLaw (Vals AI) or IFBench, where it leads.
- Shared results
- 50
- Command A only
- 10
- GPT-5.4 Mini only
- 38
- 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, 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 13.1.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 17.9 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.4 Mini
GPT-5.4 Mini leads, 83.1% against 48.5%.
Same board, both measured
Math
AIME
GPT-5.4 Mini
GPT-5.4 Mini leads, 95.6% against 13.3%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5.4 Mini
GPT-5.4 Mini leads, 84.5% against 69.2%.
Same board, both measured
Long documents
Listed context window
GPT-5.4 Mini
GPT-5.4 Mini takes 400K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Mini
Command A $0.0075, GPT-5.4 Mini $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Mini
Command A $2.69, GPT-5.4 Mini $0.70.
Published attempt cost and pass rate
At a glance
- Coding index
- Command A not benchmarked, GPT-5.4 Mini 35.8 from 5 benchmarks.
- Widest category
- Math, 40.5 points apart on average over 3 shared benchmarks.
- Widest single gap
- AIME: Command A 13.3% against GPT-5.4 Mini 95.6%, 82.3 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against GPT-5.4 Mini $4.50 per million output tokens, 2.2x apart.
- Context window
- Command A takes 256K tokens, GPT-5.4 Mini 400K.
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 | Command A | Bars | GPT-5.4 Mini | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 3 | ||
| Reasoning | 0 | 6 | ||
| Math | 0 | 3 | ||
| Knowledge | 1 | 7 | ||
| General | 1 | 20 | ||
| All shared boards | 2 | 48 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
| Benchmark | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1397 | Only GPT-5.4 Mini measured |
| AA Coding Index | 27.8 | 56.1 | GPT-5.4 Mini |
| LiveCodeBench (Vals AI) | 35.1% | 81.5% | GPT-5.4 Mini |
| SWE-bench Verified (Vals AI) | 7.8% | 73.0% | GPT-5.4 Mini |
| Terminal-Bench 4 (Vals AI) | Not measured | 2.5% | Only GPT-5.4 Mini measured |
| Vibe Code Bench (Vals AI) | Not measured | 48.0% | Only GPT-5.4 Mini measured |
| Code migration (Vals AI) | Not measured | 12.9% | Only GPT-5.4 Mini measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only GPT-5.4 Mini measured |
| Terminal-Bench 2.1 (Vals AI) | 17.6% | 54.7% | GPT-5.4 Mini |
| LiveCodeBench (Artificial Analysis run) | 28.7% | Not measured | Only Command A measured |
| SciCode | 38.5% | 52.1% | GPT-5.4 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 52.3% | GPT-5.4 Mini |
| FrontierCode | Not measured | 27.0% | Only GPT-5.4 Mini measured |
| WeirdML | Not measured | 60.3% | Only GPT-5.4 Mini measured |
| ALE-Bench | Not measured | 1188.6 | Only GPT-5.4 Mini measured |
| LMArena Text: coding | 1330 | 1438 | GPT-5.4 Mini |
| LMArena Text: software and IT | 1336 | 1436 | GPT-5.4 Mini |
| LMArena WebDev: React | Not measured | 1386 | Only GPT-5.4 Mini measured |
| LMArena WebDev: HTML | Not measured | 1419 | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 24.1 | GPT-5.4 Mini |
| Epoch Capabilities Index | Not measured | 148.7 | Only GPT-5.4 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | 17.9 | GPT-5.4 Mini |
| Finance Agent (Vals AI) | 9.0% | 45.4% | GPT-5.4 Mini |
| Tax Agent Bench (Vals AI) | Not measured | 8.8% | Only GPT-5.4 Mini measured |
| Legal Research Bench (Vals AI) | Not measured | 12.5% | Only GPT-5.4 Mini measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 45.4% | Only GPT-5.4 Mini measured |
| τ²-Bench Telecom | 80.7% | 83.3% | GPT-5.4 Mini |
| DeepResearch Bench | Not measured | 36.3% | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | 83.1% | GPT-5.4 Mini |
| MMMU Pro (Vals AI) | Not measured | 79.3% | Only GPT-5.4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | 87.5% | GPT-5.4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 28.1% | GPT-5.4 Mini |
| GPQA Diamond (Epoch AI run) | Not measured | 86.9% | Only GPT-5.4 Mini measured |
| ARC-AGI | Not measured | 63.7% | Only GPT-5.4 Mini measured |
| ARC-AGI-2 | Not measured | 18.9% | Only GPT-5.4 Mini measured |
| Chess puzzles | Not measured | 23.0% | Only GPT-5.4 Mini measured |
| Mystery game puzzles | Not measured | 11.0% | Only GPT-5.4 Mini measured |
| LMArena Text: hard prompts | 1326 | 1424 | GPT-5.4 Mini |
| LMArena Text: expert | 1296 | 1435 | GPT-5.4 Mini |
| LMArena Text: hard prompts in English | 1335 | 1420 | GPT-5.4 Mini |
| LMArena Vision: diagrams | Not measured | 1266 | Only GPT-5.4 Mini measured |
| LMArena Vision: homework | Not measured | 1285 | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AIME | 13.3% | 95.6% | GPT-5.4 Mini |
| MATH 500 (Vals AI) | 76.2% | Not measured | Only Command A measured |
| MGSM (Vals AI) | 85.7% | Not measured | Only Command A measured |
| AA Math Index | 13.0 | Not measured | Only Command A measured |
| AIME 2025 (Artificial Analysis run) | 13.0% | Not measured | Only Command A measured |
| OTIS Mock AIME | Not measured | 88.9% | Only GPT-5.4 Mini measured |
| FrontierMath, tiers 1 to 3 | Not measured | 51.2% | Only GPT-5.4 Mini measured |
| FrontierMath, tier 4 | Not measured | 9.8% | Only GPT-5.4 Mini measured |
| ProofBench | Not measured | 21.0% | Only GPT-5.4 Mini measured |
| LMArena Text: math | 1300 | 1418 | GPT-5.4 Mini |
| LMArena Text: mathematical work | 1312 | 1429 | 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 index17
| Benchmark | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 69.2% | 84.5% | GPT-5.4 Mini |
| LegalBench (Vals AI) | 79.7% | Not measured | Only Command A measured |
| CaseLaw (Vals AI) | 64.5% | 51.7% | Command A |
| CorpFin (Vals AI) | 46.0% | 60.9% | GPT-5.4 Mini |
| TaxEval (Vals AI) | 61.4% | 71.2% | GPT-5.4 Mini |
| MortgageTax (Vals AI) | Not measured | 63.5% | Only GPT-5.4 Mini measured |
| MedQA (Vals AI) | 80.5% | Not measured | Only Command A measured |
| MedCode (Vals AI) | 19.7% | Not measured | Only Command A measured |
| MMLU Pro (Artificial Analysis run) | 71.2% | Not measured | Only Command A measured |
| SimpleQA Verified | Not measured | 29.4% | Only GPT-5.4 Mini measured |
| LMArena Text: science | 1339 | 1417 | GPT-5.4 Mini |
| LMArena Text: medicine and healthcare | 1334 | 1395 | GPT-5.4 Mini |
| LMArena Text: legal and government | 1348 | 1414 | GPT-5.4 Mini |
| LMArena Text: business and finance | 1315 | 1418 | GPT-5.4 Mini |
| 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 | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Command A | GPT-5.4 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 50.8% | Only GPT-5.4 Mini measured |
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| Vals Multimodal Index | Not measured | 54.2% | Only GPT-5.4 Mini measured |
| IFBench | 73.9% | 73.3% | Command A |
| Long context reasoning (AA-LCR) | 52.7% | 77.0% | GPT-5.4 Mini |
| DTBench | 61.3% | 80.0% | GPT-5.4 Mini |
| LMCA | 10.3% | 40.8% | GPT-5.4 Mini |
| LMArena Text | 1331 | 1412 | GPT-5.4 Mini |
| LMArena Text: instruction following | 1309 | 1405 | GPT-5.4 Mini |
| LMArena Text: creative writing | 1319 | 1370 | GPT-5.4 Mini |
| LMArena Vision | Not measured | 1245 | Only GPT-5.4 Mini measured |
| LMArena Text: English | 1344 | 1412 | GPT-5.4 Mini |
| LMArena Text: non-English | 1313 | 1405 | GPT-5.4 Mini |
| LMArena Text: Chinese | 1327 | 1446 | GPT-5.4 Mini |
| LMArena Text: German | 1342 | 1408 | GPT-5.4 Mini |
| LMArena Text: Japanese | 1285 | 1375 | GPT-5.4 Mini |
| LMArena Text: Korean | 1285 | 1370 | GPT-5.4 Mini |
| LMArena Text: French | 1351 | 1441 | GPT-5.4 Mini |
| LMArena Text: Spanish | 1347 | 1405 | GPT-5.4 Mini |
| LMArena Text: Russian | 1314 | 1417 | GPT-5.4 Mini |
| LMArena Text: Polish | 1324 | 1415 | GPT-5.4 Mini |
| LMArena Text: multi-turn | 1338 | 1429 | GPT-5.4 Mini |
| LMArena Text: longer queries | 1334 | 1408 | GPT-5.4 Mini |
| LMArena Text: writing and language | 1328 | 1393 | GPT-5.4 Mini |
| LMArena Text: entertainment and media | 1306 | 1373 | GPT-5.4 Mini |
| LMArena Vision: English | Not measured | 1244 | Only GPT-5.4 Mini measured |
| LMArena Vision: Chinese | Not measured | 1286 | Only GPT-5.4 Mini measured |
| LMArena Vision: reading text | Not measured | 1253 | Only GPT-5.4 Mini measured |
| LMArena Vision: humor | Not measured | 1235 | Only GPT-5.4 Mini measured |
| LMArena Vision: recognizing things | Not measured | 1218 | Only GPT-5.4 Mini measured |
| LMArena Vision: creative writing | Not measured | 1222 | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | GPT-5.4 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-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 | Cohere Command A | OpenAI GPT-5.4 Mini |
|---|---|---|
| Maker | Cohere | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | March 13, 2025 | March 17, 2026 |
| Context window | 256K | 400K |
| Input $/Mtok | $2.50 | $0.75 |
| Output $/Mtok | $10.00 | $4.50 |
| Coding index | Not benchmarked | 35.8 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | $2.69 | $0.70 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command A better than GPT-5.4 Mini for coding?
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Command A has the edge where what matters is CaseLaw (Vals AI) or IFBench, where it leads.
Which is cheaper, Command A or GPT-5.4 Mini?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Per solved SWE-bench Verified task, Command A costs $2.69 and GPT-5.4 Mini $0.70.
Which has the bigger context window, Command A or GPT-5.4 Mini?
GPT-5.4 Mini, with 400K tokens against 256K.
How many benchmarks is the Command A vs GPT-5.4 Mini comparison based on?
50 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and GPT-5.4 Mini's on 5. Where only one model has a result, the page says so instead of naming a winner.