Claude Opus 4.1 vs GPT-5.4 Mini
GPT-5.4 Mini leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 24.1 to 22.8, and GPT-5.4 Mini costs 16.7x less per output token ($4.50 vs $75.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.
Claude Opus 4.1 or GPT-5.4 Mini: which to pick
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.
Pick Claude Opus 4.1 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 49
- Claude Opus 4.1 only
- 24
- GPT-5.4 Mini only
- 40
- 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 22.8.
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
GPT-5.4 Mini
GPT-5.4 Mini leads, 83.1% against 76.3%.
Same board, both measured
Math
AIME
GPT-5.4 Mini
GPT-5.4 Mini leads, 95.6% against 78.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.1
Claude Opus 4.1 leads, 87.9% against 84.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Opus 4.1 has a Design Arena: websites result, 1176.
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
Claude Opus 4.1 $0.052, GPT-5.4 Mini $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.4 Mini has the number, $0.70.
Directional only
At a glance
- Coding index
- Claude Opus 4.1 not benchmarked, GPT-5.4 Mini 35.8 from 5 benchmarks.
- Widest category
- Math, 14.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against GPT-5.4 Mini 51.2%, 38.6 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against GPT-5.4 Mini $4.50 per million output tokens, 16.7x apart.
- Context window
- Claude Opus 4.1 takes 200K 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 | Claude Opus 4.1 | Bars | GPT-5.4 Mini | Ties |
|---|---|---|---|---|
| Coding | 2 | 4 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 4 | 3 | ||
| Math | 2 | 4 | ||
| Knowledge | 5 | 2 | ||
| General | 14 | 5 | 1 tie | |
| All shared boards | 28 | 20 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| LMArena WebDev | 1390 | 1397 | GPT-5.4 Mini |
| AA Coding Index | Not measured | 56.1 | Only GPT-5.4 Mini measured |
| LiveCodeBench (Vals AI) | 66.5% | 81.5% | GPT-5.4 Mini |
| SWE-bench Verified (Vals AI) | Not measured | 73.0% | Only GPT-5.4 Mini measured |
| 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) | Not measured | 54.7% | Only GPT-5.4 Mini measured |
| SciCode | Not measured | 52.1% | Only GPT-5.4 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 52.3% | Only GPT-5.4 Mini measured |
| Terminal-Bench | 38.0% | Not measured | Only Claude Opus 4.1 measured |
| FrontierCode | Not measured | 27.0% | Only GPT-5.4 Mini measured |
| WeirdML | 45.9% | 60.3% | GPT-5.4 Mini |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| ALE-Bench | Not measured | 1188.6 | Only GPT-5.4 Mini measured |
| LMArena Text: coding | 1479 | 1438 | Claude Opus 4.1 |
| LMArena Text: software and IT | 1456 | 1436 | Claude Opus 4.1 |
| LMArena WebDev: React | Not measured | 1386 | Only GPT-5.4 Mini measured |
| LMArena WebDev: HTML | 1399 | 1419 | GPT-5.4 Mini |
| SciCode | 4.6% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 24.1 | GPT-5.4 Mini |
| Epoch Capabilities Index | 144.1 | 148.7 | GPT-5.4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 17.9 | Only GPT-5.4 Mini measured |
| Finance Agent (Vals AI) | Not measured | 45.4% | Only GPT-5.4 Mini measured |
| 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 | Not measured | 83.3% | Only GPT-5.4 Mini measured |
| METR time horizons | 66.8% | Not measured | Only Claude Opus 4.1 measured |
| GDPval | 43.6% | Not measured | Only Claude Opus 4.1 measured |
| DeepResearch Bench | 48.3% | 36.3% | Claude Opus 4.1 |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 83.1% | GPT-5.4 Mini |
| MMMU Pro (Vals AI) | 77.5% | 79.3% | GPT-5.4 Mini |
| GPQA Diamond (Artificial Analysis run) | Not measured | 87.5% | Only GPT-5.4 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 28.1% | Only GPT-5.4 Mini measured |
| GPQA Diamond (Epoch AI run) | 77.3% | 86.9% | GPT-5.4 Mini |
| 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 |
| SimpleBench | 60.0% | Not measured | Only Claude Opus 4.1 measured |
| Chess puzzles | Not measured | 23.0% | Only GPT-5.4 Mini measured |
| Mystery game puzzles | 21.0% | 11.0% | Claude Opus 4.1 |
| EBR-bench | 7.9% | Not measured | Only Claude Opus 4.1 measured |
| VPCT | 35.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: hard prompts | 1442 | 1424 | Claude Opus 4.1 |
| LMArena Text: expert | 1438 | 1435 | Claude Opus 4.1 |
| LMArena Text: hard prompts in English | 1451 | 1420 | Claude Opus 4.1 |
| LMArena Vision: diagrams | Not measured | 1266 | Only GPT-5.4 Mini measured |
| LMArena Vision: homework | Not measured | 1285 | Only GPT-5.4 Mini measured |
| Kagi LLM Benchmark | Not measured | 37.9% | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AIME | 78.2% | 95.6% | GPT-5.4 Mini |
| MATH 500 (Vals AI) | 95.4% | Not measured | Only Claude Opus 4.1 measured |
| MGSM (Vals AI) | 94.4% | Not measured | Only Claude Opus 4.1 measured |
| OTIS Mock AIME | 68.9% | 88.9% | GPT-5.4 Mini |
| FrontierMath, tiers 1 to 3 | 12.6% | 51.2% | GPT-5.4 Mini |
| FrontierMath, tier 4 | 2.4% | 9.8% | GPT-5.4 Mini |
| ProofBench | Not measured | 21.0% | Only GPT-5.4 Mini measured |
| LMArena Text: math | 1431 | 1418 | Claude Opus 4.1 |
| LMArena Text: mathematical work | 1434 | 1429 | Claude Opus 4.1 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 84.5% | Claude Opus 4.1 |
| LegalBench (Vals AI) | 83.5% | Not measured | Only Claude Opus 4.1 measured |
| CaseLaw (Vals AI) | Not measured | 51.7% | Only GPT-5.4 Mini measured |
| CorpFin (Vals AI) | Not measured | 60.9% | Only GPT-5.4 Mini measured |
| TaxEval (Vals AI) | 73.7% | 71.2% | Claude Opus 4.1 |
| MortgageTax (Vals AI) | 61.1% | 63.5% | GPT-5.4 Mini |
| MedQA (Vals AI) | 93.6% | Not measured | Only Claude Opus 4.1 measured |
| MedCode (Vals AI) | 47.2% | Not measured | Only Claude Opus 4.1 measured |
| SimpleQA Verified | Not measured | 29.4% | Only GPT-5.4 Mini measured |
| LMArena Text: science | 1422 | 1417 | Claude Opus 4.1 |
| LMArena Text: medicine and healthcare | 1416 | 1395 | Claude Opus 4.1 |
| LMArena Text: legal and government | 1421 | 1414 | Claude Opus 4.1 |
| LMArena Text: business and finance | 1406 | 1418 | GPT-5.4 Mini |
| FACTS Benchmark Suite | 40.4% | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1176 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: UI components | 1162 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: game dev | 1171 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: data viz | 1166 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: 3D | 1152 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: all code categories | 1170 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: SVG | 1152 | Not measured | Only Claude Opus 4.1 measured |
| Design Arena: ASCII art | 1167 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index145
| Benchmark | Claude Opus 4.1 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 31.4% | 50.8% | GPT-5.4 Mini |
| MedScribe (Vals AI) | 73.9% | Not measured | Only Claude Opus 4.1 measured |
| Vals Multimodal Index | Not measured | 54.2% | Only GPT-5.4 Mini measured |
| IFBench | Not measured | 73.3% | Only GPT-5.4 Mini measured |
| Long context reasoning (AA-LCR) | Not measured | 77.0% | Only GPT-5.4 Mini measured |
| DTBench | 80.0% | 80.0% | Tie |
| LMCA | 37.1% | 40.8% | GPT-5.4 Mini |
| Creative writing (Lech Mazur) | 84.7% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text | 1419 | 1412 | Claude Opus 4.1 |
| LMArena Text: instruction following | 1435 | 1405 | Claude Opus 4.1 |
| LMArena Text: creative writing | 1412 | 1370 | Claude Opus 4.1 |
| LMArena Vision | Not measured | 1245 | Only GPT-5.4 Mini measured |
| LMArena Text: English | 1433 | 1412 | Claude Opus 4.1 |
| LMArena Text: non-English | 1405 | 1405 | Claude Opus 4.1 |
| LMArena Text: Chinese | 1427 | 1446 | GPT-5.4 Mini |
| LMArena Text: German | 1413 | 1408 | Claude Opus 4.1 |
| LMArena Text: Japanese | 1377 | 1375 | Claude Opus 4.1 |
| LMArena Text: Korean | 1381 | 1370 | Claude Opus 4.1 |
| LMArena Text: French | 1433 | 1441 | GPT-5.4 Mini |
| LMArena Text: Spanish | 1448 | 1405 | Claude Opus 4.1 |
| LMArena Text: Russian | 1422 | 1417 | Claude Opus 4.1 |
| LMArena Text: Polish | 1413 | 1415 | GPT-5.4 Mini |
| LMArena Text: multi-turn | 1444 | 1429 | Claude Opus 4.1 |
| LMArena Text: longer queries | 1455 | 1408 | Claude Opus 4.1 |
| LMArena Text: writing and language | 1418 | 1393 | Claude Opus 4.1 |
| LMArena Text: entertainment and media | 1398 | 1373 | Claude Opus 4.1 |
| 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 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | 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 | Anthropic Claude Opus 4.1 | OpenAI GPT-5.4 Mini |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2025 | March 17, 2026 |
| Context window | 200K | 400K |
| Input $/Mtok | $15.00 | $0.75 |
| Output $/Mtok | $75.00 | $4.50 |
| Coding index | Not benchmarked | 35.8 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | $0.70 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than GPT-5.4 Mini for coding?
Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Claude Opus 4.1 or GPT-5.4 Mini?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Cost per solved task is known for GPT-5.4 Mini only.
Which has the bigger context window, Claude Opus 4.1 or GPT-5.4 Mini?
GPT-5.4 Mini, with 400K tokens against 200K.
How many benchmarks is the Claude Opus 4.1 vs GPT-5.4 Mini comparison based on?
49 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1'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.