Claude Sonnet 4.5 vs GPT-5.4 Nano
GPT-5.4 Nano leads Claude Sonnet 4.5 on coding, 44.8 to 39.5 on the Vibe Coding Index, and GPT-5.4 Nano costs 12.0x less per output token ($1.25 vs $15.00 per million). Updated October 22, 2026; 61 benchmarks have a result for both.
Claude Sonnet 4.5 or GPT-5.4 Nano: which to pick
Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5, though on 2 benchmarks against 3.
Pick Claude Sonnet 4.5 for a larger context window (1M against 400K tokens) and work measured by SWE-bench Verified (Vals AI) or LMArena Text: coding, where it leads.
- Shared results
- 61
- Claude Sonnet 4.5 only
- 34
- GPT-5.4 Nano only
- 24
- 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
GPT-5.4 Nano
GPT-5.4 Nano scores 44.8 against 39.5.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Tied at 20.7.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.4 Nano
GPT-5.4 Nano leads, 16.0 against 15.8.
Same board, both measured
Reasoning
GPQA Diamond
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 81.6% against 77.5%.
Same board, both measured
Math
AIME
GPT-5.4 Nano
GPT-5.4 Nano leads, 88.8% against 88.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Sonnet 4.5
Claude Sonnet 4.5 leads, 87.4% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Claude Sonnet 4.5 has a Design Arena: websites result, 1189.
Directional only
Long documents
Listed context window
Claude Sonnet 4.5
Claude Sonnet 4.5 takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
Claude Sonnet 4.5 $0.011, 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 Sonnet 4.5 $1.16, GPT-5.4 Nano $0.14.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Sonnet 4.5 39.5 from 3 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
- Widest category
- Reasoning, 12.5 points apart on average over 11 shared benchmarks.
- Widest single gap
- Chess puzzles: Claude Sonnet 4.5 10.0% against GPT-5.4 Nano 45.0%, 35.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 4.5 $15.00 against GPT-5.4 Nano $1.25 per million output tokens, 12.0x apart.
- Context window
- Claude Sonnet 4.5 takes 1M 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 Sonnet 4.5 | Bars | GPT-5.4 Nano | Ties |
|---|---|---|---|---|
| Coding | 3 | 4 | ||
| Intelligence | 1 | 0 | 1 tie | |
| Agentic work | 0 | 1 | ||
| Reasoning | 10 | 1 | ||
| Math | 3 | 4 | ||
| Knowledge | 12 | 0 | ||
| General | 20 | 1 | ||
| All shared boards | 49 | 11 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index34
| Benchmark | Claude Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SWE-bench Verified | 74.8% | Not measured | Only Claude Sonnet 4.5 measured |
| SWE-bench Multilingual | 67.0% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena WebDev | 1394 | Not measured | Only Claude Sonnet 4.5 measured |
| AA Coding Index | 52.1 | 56.1 | GPT-5.4 Nano |
| LiveCodeBench (Vals AI) | 73.0% | 84.0% | GPT-5.4 Nano |
| SWE-bench Verified (Vals AI) | 70.0% | 69.8% | Claude Sonnet 4.5 |
| Vibe Code Bench (Vals AI) | 22.6% | 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 |
| SciCode | Not measured | 47.2% | Only GPT-5.4 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only GPT-5.4 Nano measured |
| Terminal-Bench | 46.5% | Not measured | Only Claude Sonnet 4.5 measured |
| GSO-Bench | 14.7% | Not measured | Only Claude Sonnet 4.5 measured |
| WeirdML | 47.7% | 49.2% | GPT-5.4 Nano |
| Cybench | 60.0% | Not measured | Only Claude Sonnet 4.5 measured |
| ALE-Bench | Not measured | 1004.5 | Only GPT-5.4 Nano measured |
| LMArena Text: coding | 1488 | 1404 | Claude Sonnet 4.5 |
| LMArena Text: software and IT | 1473 | 1402 | Claude Sonnet 4.5 |
| LMArena WebDev: React | 1386 | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena WebDev: HTML | 1399 | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 20.7 | Tie |
| Epoch Capabilities Index | 146.7 | 146.0 | Claude Sonnet 4.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Claude Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | 15.8 | 16.0 | GPT-5.4 Nano |
| Design Arena: agents building web apps | 1060 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building full-stack apps | 1050 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: agents building mobile apps | 1137 | Not measured | Only Claude Sonnet 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 | Not measured | 76.0% | Only GPT-5.4 Nano measured |
| METR time horizons | 67.4% | Not measured | Only Claude Sonnet 4.5 measured |
| Remote Labor Index | 2.1% | Not measured | Only Claude Sonnet 4.5 measured |
| GDPval | 42.5% | Not measured | Only Claude Sonnet 4.5 measured |
| DeepResearch Bench | 52.6% | Not measured | Only Claude Sonnet 4.5 measured |
| OSWorld | 62.9% | Not measured | Only Claude Sonnet 4.5 measured |
| Vending-Bench 2 | $3,839 | Not measured | Only Claude Sonnet 4.5 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 73.2% | Not measured | Only Claude Sonnet 4.5 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index101
| Benchmark | Claude Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | 81.6% | 77.5% | Claude Sonnet 4.5 |
| MMMU Pro (Vals AI) | 79.3% | 73.6% | Claude Sonnet 4.5 |
| GPQA Diamond (Artificial Analysis run) | Not measured | 81.7% | Only GPT-5.4 Nano measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 28.3% | Only GPT-5.4 Nano measured |
| GPQA Diamond (Epoch AI run) | 82.3% | 78.5% | Claude Sonnet 4.5 |
| ARC-AGI | 63.7% | 51.5% | Claude Sonnet 4.5 |
| ARC-AGI-2 | 13.6% | 5.7% | Claude Sonnet 4.5 |
| SimpleBench | 54.3% | Not measured | Only Claude Sonnet 4.5 measured |
| Chess puzzles | 10.0% | 45.0% | GPT-5.4 Nano |
| Mystery game puzzles | 17.0% | 9.0% | Claude Sonnet 4.5 |
| EBR-bench | 2.4% | Not measured | Only Claude Sonnet 4.5 measured |
| VPCT | 39.8% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1381 | Claude Sonnet 4.5 |
| LMArena Text: expert | 1483 | 1396 | Claude Sonnet 4.5 |
| LMArena Text: hard prompts in English | 1471 | 1387 | Claude Sonnet 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 | 57.9% | 39.7% | Claude Sonnet 4.5 |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Claude Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AIME | 88.2% | 88.8% | GPT-5.4 Nano |
| MGSM (Vals AI) | 94.3% | Not measured | Only Claude Sonnet 4.5 measured |
| OTIS Mock AIME | 77.8% | 87.8% | GPT-5.4 Nano |
| FrontierMath, tiers 1 to 3 | 23.9% | 44.9% | GPT-5.4 Nano |
| FrontierMath, tier 4 | 2.4% | 12.2% | GPT-5.4 Nano |
| ProofBench | 19.0% | 5.0% | Claude Sonnet 4.5 |
| MATH level 5 | 97.7% | Not measured | Only Claude Sonnet 4.5 measured |
| LMArena Text: math | 1449 | 1405 | Claude Sonnet 4.5 |
| LMArena Text: mathematical work | 1462 | 1409 | Claude Sonnet 4.5 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Claude Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| MMLU Pro | 87.4% | 77.2% | Claude Sonnet 4.5 |
| LegalBench (Vals AI) | 84.1% | 77.9% | Claude Sonnet 4.5 |
| CaseLaw (Vals AI) | 62.2% | 51.9% | Claude Sonnet 4.5 |
| CorpFin (Vals AI) | 62.0% | 61.2% | Claude Sonnet 4.5 |
| TaxEval (Vals AI) | 73.3% | 67.4% | Claude Sonnet 4.5 |
| MortgageTax (Vals AI) | 64.0% | 59.1% | Claude Sonnet 4.5 |
| MedQA (Vals AI) | 94.7% | Not measured | Only Claude Sonnet 4.5 measured |
| MedCode (Vals AI) | 44.1% | 41.0% | Claude Sonnet 4.5 |
| SimpleQA Verified | 30.7% | 11.7% | Claude Sonnet 4.5 |
| LMArena Text: science | 1448 | 1374 | Claude Sonnet 4.5 |
| LMArena Text: medicine and healthcare | 1444 | 1369 | Claude Sonnet 4.5 |
| LMArena Text: legal and government | 1451 | 1368 | Claude Sonnet 4.5 |
| LMArena Text: business and finance | 1440 | 1366 | Claude Sonnet 4.5 |
| FACTS Benchmark Suite | 40.6% | Not measured | Only Claude Sonnet 4.5 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 Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 1189 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: UI components | 1170 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: game dev | 1166 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: data viz | 1167 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: 3D | 1157 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: all code categories | 1182 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: SVG | 1115 | Not measured | Only Claude Sonnet 4.5 measured |
| Design Arena: ASCII art | 1205 | Not measured | Only Claude Sonnet 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 index201
| Benchmark | Claude Sonnet 4.5 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 36.1% | 38.1% | GPT-5.4 Nano |
| MedScribe (Vals AI) | 84.5% | 77.1% | Claude Sonnet 4.5 |
| Vals Multimodal Index | Not measured | 47.6% | Only GPT-5.4 Nano measured |
| IFBench | Not measured | 75.9% | Only GPT-5.4 Nano measured |
| Long context reasoning (AA-LCR) | Not measured | 76.7% | Only GPT-5.4 Nano measured |
| DTBench | 83.2% | 80.3% | Claude Sonnet 4.5 |
| LMCA | 38.8% | 36.9% | Claude Sonnet 4.5 |
| LMArena Text | 1438 | 1372 | Claude Sonnet 4.5 |
| LMArena Text: instruction following | 1459 | 1362 | Claude Sonnet 4.5 |
| LMArena Text: creative writing | 1442 | 1315 | Claude Sonnet 4.5 |
| LMArena Vision | Not measured | 1196 | Only GPT-5.4 Nano measured |
| LMArena Text: English | 1450 | 1381 | Claude Sonnet 4.5 |
| LMArena Text: non-English | 1425 | 1359 | Claude Sonnet 4.5 |
| LMArena Text: Chinese | 1460 | 1391 | Claude Sonnet 4.5 |
| LMArena Text: German | 1427 | 1368 | Claude Sonnet 4.5 |
| LMArena Text: Japanese | 1390 | 1343 | Claude Sonnet 4.5 |
| LMArena Text: Korean | 1402 | 1321 | Claude Sonnet 4.5 |
| LMArena Text: French | 1459 | 1395 | Claude Sonnet 4.5 |
| LMArena Text: Spanish | 1458 | 1371 | Claude Sonnet 4.5 |
| LMArena Text: Russian | 1437 | 1363 | Claude Sonnet 4.5 |
| LMArena Text: Polish | 1423 | 1366 | Claude Sonnet 4.5 |
| LMArena Text: multi-turn | 1465 | 1382 | Claude Sonnet 4.5 |
| LMArena Text: longer queries | 1475 | 1365 | Claude Sonnet 4.5 |
| LMArena Text: writing and language | 1442 | 1338 | Claude Sonnet 4.5 |
| LMArena Text: entertainment and media | 1428 | 1325 | Claude Sonnet 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 | 1450 | Not measured | Only Claude Sonnet 4.5 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 Sonnet 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 Sonnet 4.5 | OpenAI GPT-5.4 Nano |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 29, 2025 | March 17, 2026 |
| Context window | 1M | 400K |
| Input $/Mtok | $3.00 | $0.20 |
| Output $/Mtok | $15.00 | $1.25 |
| Coding index | 39.5 | 44.8 |
| Independent measurements behind it | 3 | 2 |
| Cost per solved task | $1.16 | $0.14 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 4.5 better than GPT-5.4 Nano for coding?
Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5, though on 2 benchmarks against 3. Pick Claude Sonnet 4.5 for a larger context window (1M against 400K tokens) and work measured by SWE-bench Verified (Vals AI) or LMArena Text: coding, where it leads.
Which is cheaper, Claude Sonnet 4.5 or GPT-5.4 Nano?
Claude Sonnet 4.5 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, Claude Sonnet 4.5 costs $1.16 and GPT-5.4 Nano $0.14.
Which has the bigger context window, Claude Sonnet 4.5 or GPT-5.4 Nano?
Claude Sonnet 4.5, with 1M tokens against 400K.
How many benchmarks is the Claude Sonnet 4.5 vs GPT-5.4 Nano comparison based on?
61 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 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.