Claude Opus 4.5 vs GPT-5.4 Nano
GPT-5.4 Nano leads Claude Opus 4.5 on coding, 44.8 to 44.0 on the Vibe Coding Index, and GPT-5.4 Nano costs 20.0x less per output token ($1.25 vs $25.00 per million). Updated October 22, 2026; 65 benchmarks have a result for both.
Claude Opus 4.5 or GPT-5.4 Nano: which to pick
Claude Opus 4.5 and GPT-5.4 Nano are level for coding, 44.0 against 44.8 on the Vibe Coding Index, so price and context decide.
Pick Claude Opus 4.5 for work measured by SWE-bench Verified (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads. Pick GPT-5.4 Nano for output tokens 20.0x cheaper ($1.25 vs $25.00 per million) and a lower cost per solved task ($0.14 against $1.37).
- Shared results
- 65
- Claude Opus 4.5 only
- 43
- GPT-5.4 Nano only
- 20
- 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
Level: 44.0 against 44.8, inside 2 points.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Opus 4.5
Claude Opus 4.5 leads, 29.1 against 20.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Nano has a AA Agentic Index result, 16.0.
Directional only
Reasoning
GPQA Diamond
Claude Opus 4.5
Claude Opus 4.5 leads, 85.9% against 77.5%.
Same board, both measured
Math
AIME
Claude Opus 4.5
Claude Opus 4.5 leads, 95.4% against 88.8%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.5
Claude Opus 4.5 leads, 87.3% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Opus 4.5 has a Design Arena: websites result, 1247.
Directional only
Long documents
Listed context window
GPT-5.4 Nano
GPT-5.4 Nano takes 400K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
Claude Opus 4.5 $0.018, GPT-5.4 Nano $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Nano
Claude Opus 4.5 $1.37, GPT-5.4 Nano $0.14.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.5 44.0 from 3 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
- Widest category
- Reasoning, 17.2 points apart on average over 13 shared benchmarks.
- Widest single gap
- Kagi LLM Benchmark: Claude Opus 4.5 80.2% against GPT-5.4 Nano 39.7%, 40.5 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.5 $25.00 against GPT-5.4 Nano $1.25 per million output tokens, 20.0x apart.
- Context window
- Claude Opus 4.5 takes 200K tokens, GPT-5.4 Nano 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 4.5 | Bars | GPT-5.4 Nano | Ties |
|---|---|---|---|---|
| Coding | 5 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 12 | 1 | ||
| Math | 4 | 3 | ||
| Knowledge | 12 | 0 | ||
| General | 22 | 1 | ||
| All shared boards | 58 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SWE-bench Verified | 79.2% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench (full test set) | 52.6% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Multilingual | 70.7% | Not measured | Only Claude Opus 4.5 measured |
| LMArena WebDev | 1494 | Not measured | Only Claude Opus 4.5 measured |
| AA Coding Index | Not measured | 56.1 | Only GPT-5.4 Nano measured |
| LiveCodeBench (Vals AI) | 83.7% | 84.0% | GPT-5.4 Nano |
| SWE-bench Verified (Vals AI) | 76.4% | 69.8% | Claude Opus 4.5 |
| Vibe Code Bench (Vals AI) | 20.6% | 26.1% | GPT-5.4 Nano |
| Code migration (Vals AI) | Not measured | 14.5% | Only GPT-5.4 Nano measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 41.6% | Only GPT-5.4 Nano measured |
| LiveCodeBench (Artificial Analysis run) | 87.1% | Not measured | Only Claude Opus 4.5 measured |
| SciCode | Not measured | 47.2% | Only GPT-5.4 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | 42.4% | Claude Opus 4.5 |
| Terminal-Bench | 63.1% | Not measured | Only Claude Opus 4.5 measured |
| GSO-Bench | 26.5% | Not measured | Only Claude Opus 4.5 measured |
| WeirdML | 63.7% | 49.2% | Claude Opus 4.5 |
| Cybench | 82.0% | Not measured | Only Claude Opus 4.5 measured |
| ALE-Bench | Not measured | 1004.5 | Only GPT-5.4 Nano measured |
| LMArena Text: coding | 1503 | 1404 | Claude Opus 4.5 |
| LMArena Text: software and IT | 1483 | 1402 | Claude Opus 4.5 |
| LMArena WebDev: React | 1478 | Not measured | Only Claude Opus 4.5 measured |
| LMArena WebDev: HTML | 1510 | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.1 | 20.7 | Claude Opus 4.5 |
| Epoch Capabilities Index | 150.1 | 146.0 | Claude Opus 4.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 16.0 | Only GPT-5.4 Nano measured |
| Design Arena: agents building web apps | 1159 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building full-stack apps | 1156 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building mobile apps | 1189 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building Android apps | 1176 | Not measured | Only Claude Opus 4.5 measured |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only GPT-5.4 Nano measured |
| Tax Agent Bench (Vals AI) | Not measured | 5.0% | Only GPT-5.4 Nano measured |
| Legal Research Bench (Vals AI) | Not measured | 6.3% | Only GPT-5.4 Nano measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 44.8% | Only GPT-5.4 Nano measured |
| τ²-Bench Telecom | 89.5% | 76.0% | Claude Opus 4.5 |
| METR time horizons | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| Remote Labor Index | 3.8% | Not measured | Only Claude Opus 4.5 measured |
| GDPval | 45.5% | Not measured | Only Claude Opus 4.5 measured |
| BALROG | 43.5% | Not measured | Only Claude Opus 4.5 measured |
| DeepResearch Bench | 54.8% | Not measured | Only Claude Opus 4.5 measured |
| OSWorld | 66.3% | Not measured | Only Claude Opus 4.5 measured |
| Vending-Bench 2 | $4,967 | Not measured | Only Claude Opus 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 77.5% | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index121
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | 85.9% | 77.5% | Claude Opus 4.5 |
| MMMU Pro (Vals AI) | 83.0% | 73.6% | Claude Opus 4.5 |
| GPQA Diamond (Artificial Analysis run) | 86.6% | 81.7% | Claude Opus 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 30.1% | 28.3% | Claude Opus 4.5 |
| GPQA Diamond (Epoch AI run) | 86.0% | 78.5% | Claude Opus 4.5 |
| ARC-AGI | 80.0% | 51.5% | Claude Opus 4.5 |
| ARC-AGI-2 | 37.6% | 5.7% | Claude Opus 4.5 |
| SimpleBench | 62.0% | Not measured | Only Claude Opus 4.5 measured |
| Chess puzzles | 14.0% | 45.0% | GPT-5.4 Nano |
| Mystery game puzzles | 22.0% | 9.0% | Claude Opus 4.5 |
| EBR-bench | 14.3% | Not measured | Only Claude Opus 4.5 measured |
| VPCT | 40.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: hard prompts | 1476 | 1381 | Claude Opus 4.5 |
| LMArena Text: expert | 1487 | 1396 | Claude Opus 4.5 |
| LMArena Text: hard prompts in English | 1482 | 1387 | Claude Opus 4.5 |
| LMArena Vision: diagrams | Not measured | 1210 | Only GPT-5.4 Nano measured |
| LMArena Vision: homework | Not measured | 1225 | Only GPT-5.4 Nano measured |
| Kagi LLM Benchmark | 80.2% | 39.7% | Claude Opus 4.5 |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AIME | 95.4% | 88.8% | Claude Opus 4.5 |
| MGSM (Vals AI) | 95.2% | Not measured | Only Claude Opus 4.5 measured |
| AA Math Index | 91.3 | Not measured | Only Claude Opus 4.5 measured |
| AIME 2025 (Artificial Analysis run) | 91.3% | Not measured | Only Claude Opus 4.5 measured |
| OTIS Mock AIME | 86.1% | 87.8% | GPT-5.4 Nano |
| FrontierMath, tiers 1 to 3 | 34.4% | 44.9% | GPT-5.4 Nano |
| FrontierMath, tier 4 | 4.9% | 12.2% | GPT-5.4 Nano |
| ProofBench | 36.0% | 5.0% | Claude Opus 4.5 |
| LMArena Text: math | 1463 | 1405 | Claude Opus 4.5 |
| LMArena Text: mathematical work | 1468 | 1409 | Claude Opus 4.5 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 77.2% | Claude Opus 4.5 |
| LegalBench (Vals AI) | 84.6% | 77.9% | Claude Opus 4.5 |
| CaseLaw (Vals AI) | 62.6% | 51.9% | Claude Opus 4.5 |
| CorpFin (Vals AI) | 65.1% | 61.2% | Claude Opus 4.5 |
| TaxEval (Vals AI) | 74.9% | 67.4% | Claude Opus 4.5 |
| MortgageTax (Vals AI) | 68.7% | 59.1% | Claude Opus 4.5 |
| MedQA (Vals AI) | 95.9% | Not measured | Only Claude Opus 4.5 measured |
| MedCode (Vals AI) | 49.2% | 41.0% | Claude Opus 4.5 |
| MMLU Pro (Artificial Analysis run) | 89.5% | Not measured | Only Claude Opus 4.5 measured |
| SimpleQA Verified | 45.7% | 11.7% | Claude Opus 4.5 |
| GeoBench | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: science | 1454 | 1374 | Claude Opus 4.5 |
| LMArena Text: medicine and healthcare | 1444 | 1369 | Claude Opus 4.5 |
| LMArena Text: legal and government | 1459 | 1368 | Claude Opus 4.5 |
| LMArena Text: business and finance | 1448 | 1366 | Claude Opus 4.5 |
| FACTS Benchmark Suite | 43.9% | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 2 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 1247 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: UI components | 1235 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: game dev | 1228 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: data viz | 1243 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: 3D | 1213 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: all code categories | 1242 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: SVG | 1180 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: ASCII art | 1190 | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index221
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 52.1% | 38.1% | Claude Opus 4.5 |
| MedScribe (Vals AI) | 85.3% | 77.1% | Claude Opus 4.5 |
| Vals Multimodal Index | Not measured | 47.6% | Only GPT-5.4 Nano measured |
| IFBench | 58.0% | 75.9% | GPT-5.4 Nano |
| Long context reasoning (AA-LCR) | 77.3% | 76.7% | Claude Opus 4.5 |
| DTBench | 89.9% | 80.3% | Claude Opus 4.5 |
| LMCA | 44.5% | 36.9% | Claude Opus 4.5 |
| CL-bench | 21.1% | Not measured | Only Claude Opus 4.5 measured |
| Furniture assembly | 28.3% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text | 1451 | 1372 | Claude Opus 4.5 |
| LMArena Text: instruction following | 1478 | 1362 | Claude Opus 4.5 |
| LMArena Text: creative writing | 1445 | 1315 | Claude Opus 4.5 |
| LMArena Vision | Not measured | 1196 | Only GPT-5.4 Nano measured |
| LMArena Text: English | 1461 | 1381 | Claude Opus 4.5 |
| LMArena Text: non-English | 1438 | 1359 | Claude Opus 4.5 |
| LMArena Text: Chinese | 1470 | 1391 | Claude Opus 4.5 |
| LMArena Text: German | 1449 | 1368 | Claude Opus 4.5 |
| LMArena Text: Japanese | 1417 | 1343 | Claude Opus 4.5 |
| LMArena Text: Korean | 1424 | 1321 | Claude Opus 4.5 |
| LMArena Text: French | 1471 | 1395 | Claude Opus 4.5 |
| LMArena Text: Spanish | 1457 | 1371 | Claude Opus 4.5 |
| LMArena Text: Russian | 1447 | 1363 | Claude Opus 4.5 |
| LMArena Text: Polish | 1439 | 1366 | Claude Opus 4.5 |
| LMArena Text: multi-turn | 1466 | 1382 | Claude Opus 4.5 |
| LMArena Text: longer queries | 1479 | 1365 | Claude Opus 4.5 |
| LMArena Text: writing and language | 1452 | 1338 | Claude Opus 4.5 |
| LMArena Text: entertainment and media | 1434 | 1325 | Claude Opus 4.5 |
| LMArena Vision: English | Not measured | 1202 | Only GPT-5.4 Nano measured |
| LMArena Vision: Chinese | Not measured | 1232 | Only GPT-5.4 Nano measured |
| LMArena Vision: reading text | Not measured | 1204 | Only GPT-5.4 Nano measured |
| LMArena Vision: humor | Not measured | 1161 | Only GPT-5.4 Nano measured |
| LMArena Vision: recognizing things | Not measured | 1141 | Only GPT-5.4 Nano measured |
| LMArena Vision: creative writing | Not measured | 1159 | Only GPT-5.4 Nano measured |
| LMArena Document | 1462 | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.5 | GPT-5.4 Nano | 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 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Nano 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 4.5 | OpenAI GPT-5.4 Nano |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | November 24, 2025 | March 17, 2026 |
| Context window | 200K | 400K |
| Input $/Mtok | $5.00 | $0.20 |
| Output $/Mtok | $25.00 | $1.25 |
| Coding index | 44.0 | 44.8 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $1.37 | $0.14 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.5 better than GPT-5.4 Nano for coding?
Claude Opus 4.5 and GPT-5.4 Nano are level for coding, 44.0 against 44.8 on the Vibe Coding Index, so price and context decide. Pick Claude Opus 4.5 for work measured by SWE-bench Verified (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads. Pick GPT-5.4 Nano for output tokens 20.0x cheaper ($1.25 vs $25.00 per million) and a lower cost per solved task ($0.14 against $1.37).
Which is cheaper, Claude Opus 4.5 or GPT-5.4 Nano?
Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and GPT-5.4 Nano $0.14.
Which has the bigger context window, Claude Opus 4.5 or GPT-5.4 Nano?
GPT-5.4 Nano, with 400K tokens against 200K.
How many benchmarks is the Claude Opus 4.5 vs GPT-5.4 Nano comparison based on?
65 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.