Claude Sonnet 5.5 vs GPT-5 Mini
Claude Sonnet 5.5 leads GPT-5 Mini on coding, 87.3 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 5.0x less per output token ($2.00 vs $10.00 per million). Updated October 22, 2026; 56 benchmarks have a result for both.
vs boards won of 56 shared
Claude Sonnet 5.5 or GPT-5 Mini: which to pick
Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 34.2 for GPT-5 Mini.
Pick GPT-5 Mini for output tokens 5.0x cheaper ($2.00 vs $10.00 per million).
Model AClaude Sonnet 5.5Anthropic87.3/1005 independent benchmarksNo cost per solved taskModel BGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved task
- Shared results
- 56
- Claude Sonnet 5.5 only
- 40
- GPT-5 Mini only
- 45
- Like-for-like categories
- 8 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
Claude Sonnet 5.5
Claude Sonnet 5.5 scores 87.3 against 34.2.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 56.0 against 20.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5 Mini has a GPQA Diamond result, 80.3%.
Directional only
Math
AIME
No call
Only GPT-5 Mini has a AIME result, 91.5%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5 Mini has a MMLU Pro result, 82.2%.
Directional only
Web design
Design Arena: websites
Claude Sonnet 5.5
Claude Sonnet 5.5 leads, 1326 against 1125.
Same board, both measured
General
Vals Index
No call
Only Claude Sonnet 5.5 has a Vals Index result, 70.8%.
Directional only
Long documents
Listed context window
Claude Sonnet 5.5
Claude Sonnet 5.5 takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5 Mini
Claude Sonnet 5.5 $0.0070, GPT-5 Mini $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5 Mini has the number, $0.08.
Directional only
At a glance
- Coding index
- Claude Sonnet 5.5 87.3 from 5 benchmarks, GPT-5 Mini 34.2 from 2 benchmarks.
- Widest category
- Agentic work, 69.8 points apart on average over 1 shared benchmark.
- Widest single gap
- ProofBench: Claude Sonnet 5.5 100.0% against GPT-5 Mini 9.0%, 91.0 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5.5 $10.00 against GPT-5 Mini $2.00 per million output tokens, 5.0x apart.
- Context window
- Claude Sonnet 5.5 takes 1M tokens, GPT-5 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 Sonnet 5.5 | Bars | GPT-5 Mini | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 6 | 0 | ||
| General | 22 | 0 | ||
| All shared boards | 56 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 59.8% | Only GPT-5 Mini measured |
| SWE-bench Multilingual | Not measured | 39.7% | Only GPT-5 Mini measured |
| LiveBench coding | 94.7% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena WebDev | 1768 | Not measured | Only Claude Sonnet 5.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 86.6% | Only GPT-5 Mini measured |
| SWE-bench Verified (Vals AI) | Not measured | 60.8% | Only GPT-5 Mini measured |
| Terminal-Bench 4 (Vals AI) | 64.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Vibe Code Bench (Vals AI) | 92.4% | 14.2% | Claude Sonnet 5.5 |
| Code migration (Vals AI) | 69.8% | Not measured | Only Claude Sonnet 5.5 measured |
| ProgramBench (Vals AI) | 6.5% | Not measured | Only Claude Sonnet 5.5 measured |
| IOI (Vals AI) | 83.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench 2.1 (Vals AI) | 83.2% | Not measured | Only Claude Sonnet 5.5 measured |
| SWE-bench Multimodal (Vals AI) | 58.3% | Not measured | Only Claude Sonnet 5.5 measured |
| CyberBench (Vals AI) | 59.6% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 83.8% | Only GPT-5 Mini measured |
| SciCode | 61.0% | 39.0% | Claude Sonnet 5.5 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 33.3% | Only GPT-5 Mini measured |
| Terminal-Bench | Not measured | 34.8% | Only GPT-5 Mini measured |
| FrontierCode | 52.1% | Not measured | Only Claude Sonnet 5.5 measured |
| FrontierSWE | 61.9% | Not measured | Only Claude Sonnet 5.5 measured |
| WeirdML | Not measured | 52.7% | Only GPT-5 Mini measured |
| ALE-Bench | 1819.1 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text: coding | 1513 | 1406 | Claude Sonnet 5.5 |
| LMArena Text: software and IT | 1504 | 1394 | Claude Sonnet 5.5 |
| LMArena WebDev: React | 1817 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena WebDev: HTML | 1741 | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena WebDev: from an image | 1737 | Not measured | Only Claude Sonnet 5.5 measured |
| SciCode | 13.8% | Not measured | Only Claude Sonnet 5.5 measured |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 56.0 | 20.6 | Claude Sonnet 5.5 |
| Epoch Capabilities Index | 166.2 | 145.3 | Claude Sonnet 5.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1305 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: agents building mobile apps | 1260 | Not measured | Only Claude Sonnet 5.5 measured |
| Design Arena: spreadsheets | 1260 | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench research | 83.6% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench browser | 84.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench long agentic | 78.8% | Not measured | Only Claude Sonnet 5.5 measured |
| SREBench (Vals AI) | 30.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Finance Agent (Vals AI) | 58.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Tax Agent Bench (Vals AI) | 42.0% | Not measured | Only Claude Sonnet 5.5 measured |
| Legal Research Bench (Vals AI) | 48.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.4% | Not measured | Only Claude Sonnet 5.5 measured |
| Excel Modeling Benchmark (Vals AI) | 75.7% | Not measured | Only Claude Sonnet 5.5 measured |
| BioMysteryBench (Vals AI) | 81.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 47.1% | Not measured | Only Claude Sonnet 5.5 measured |
| Vals Science Index | 59.1% | Not measured | Only Claude Sonnet 5.5 measured |
| τ²-Bench Telecom | Not measured | 71.1% | Only GPT-5 Mini measured |
| APEX-Agents | 75.5% | Not measured | Only Claude Sonnet 5.5 measured |
| SpireClimb | 1.3% | Not measured | Only Claude Sonnet 5.5 measured |
| Vending-Bench 2 | $11,165 | -$31 | Claude Sonnet 5.5 |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 55.5% | Only GPT-5 Mini measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 80.3% | Only GPT-5 Mini measured |
| LiveBench reasoning | 91.6% | Not measured | Only Claude Sonnet 5.5 measured |
| MysteryMechanism (Vals AI) | 49.1% | Not measured | Only Claude Sonnet 5.5 measured |
| MMMU Pro (Vals AI) | Not measured | 78.9% | Only GPT-5 Mini measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 82.8% | Only GPT-5 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | 55.0% | 21.5% | Claude Sonnet 5.5 |
| GPQA Diamond (Epoch AI run) | 95.6% | 75.0% | Claude Sonnet 5.5 |
| ARC-AGI | Not measured | 54.3% | Only GPT-5 Mini measured |
| ARC-AGI-2 | Not measured | 4.4% | Only GPT-5 Mini measured |
| Chess puzzles | 59.0% | 24.0% | Claude Sonnet 5.5 |
| Mystery game puzzles | 65.0% | 10.0% | Claude Sonnet 5.5 |
| VPCT | Not measured | 40.2% | Only GPT-5 Mini measured |
| LMArena Text: hard prompts | 1494 | 1380 | Claude Sonnet 5.5 |
| LMArena Text: expert | 1531 | 1379 | Claude Sonnet 5.5 |
| LMArena Text: hard prompts in English | 1502 | 1383 | Claude Sonnet 5.5 |
| LMArena Vision: diagrams | 1329 | 1202 | Claude Sonnet 5.5 |
| LMArena Vision: homework | 1331 | 1210 | Claude Sonnet 5.5 |
| Kagi LLM Benchmark | Not measured | 70.3% | Only GPT-5 Mini measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 91.5% | Only GPT-5 Mini measured |
| MATH 500 (Vals AI) | Not measured | 94.8% | Only GPT-5 Mini measured |
| MGSM (Vals AI) | Not measured | 92.6% | Only GPT-5 Mini measured |
| AA Math Index | Not measured | 90.7 | Only GPT-5 Mini measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 90.7% | Only GPT-5 Mini measured |
| OTIS Mock AIME | 100.0% | 86.7% | Claude Sonnet 5.5 |
| FrontierMath, tiers 1 to 3 | 88.8% | 46.7% | Claude Sonnet 5.5 |
| FrontierMath, tier 4 | 80.5% | 12.2% | Claude Sonnet 5.5 |
| ProofBench | 100.0% | 9.0% | Claude Sonnet 5.5 |
| MATH level 5 | Not measured | 97.8% | Only GPT-5 Mini measured |
| LMArena Text: math | 1497 | 1378 | Claude Sonnet 5.5 |
| LMArena Text: mathematical work | 1510 | 1380 | Claude Sonnet 5.5 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 82.2% | Only GPT-5 Mini measured |
| LegalBench (Vals AI) | Not measured | 81.8% | Only GPT-5 Mini measured |
| CaseLaw (Vals AI) | Not measured | 68.5% | Only GPT-5 Mini measured |
| CorpFin (Vals AI) | Not measured | 60.2% | Only GPT-5 Mini measured |
| TaxEval (Vals AI) | Not measured | 75.2% | Only GPT-5 Mini measured |
| MortgageTax (Vals AI) | Not measured | 66.9% | Only GPT-5 Mini measured |
| MedQA (Vals AI) | Not measured | 96.1% | Only GPT-5 Mini measured |
| MedCode (Vals AI) | 52.9% | 43.0% | Claude Sonnet 5.5 |
| MMLU Pro (Artificial Analysis run) | Not measured | 83.7% | Only GPT-5 Mini measured |
| SimpleQA Verified | 46.5% | 21.6% | Claude Sonnet 5.5 |
| LMArena Text: science | 1483 | 1371 | Claude Sonnet 5.5 |
| LMArena Text: medicine and healthcare | 1464 | 1380 | Claude Sonnet 5.5 |
| LMArena Text: legal and government | 1483 | 1375 | Claude Sonnet 5.5 |
| LMArena Text: business and finance | 1468 | 1358 | Claude Sonnet 5.5 |
| FACTS Benchmark Suite | Not measured | 38.6% | Only GPT-5 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1326 | 1125 | Claude Sonnet 5.5 |
| Design Arena: UI components | 1368 | 1103 | Claude Sonnet 5.5 |
| Design Arena: game dev | 1471 | 1129 | Claude Sonnet 5.5 |
| Design Arena: data viz | 1392 | 1131 | Claude Sonnet 5.5 |
| Design Arena: 3D | 1445 | 1036 | Claude Sonnet 5.5 |
| Design Arena: all code categories | 1364 | 1114 | Claude Sonnet 5.5 |
| Design Arena: SVG | Not measured | 1091 | Only GPT-5 Mini measured |
| Design Arena: ASCII art | Not measured | 1125 | Only GPT-5 Mini measured |
| LiveBench design | 85.0% | Not measured | Only Claude Sonnet 5.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
| Benchmark | Claude Sonnet 5.5 | GPT-5 Mini | Leader |
|---|---|---|---|
| Vals Index | 70.8% | Not measured | Only Claude Sonnet 5.5 measured |
| LiveBench data analysis | 59.5% | Not measured | Only Claude Sonnet 5.5 measured |
| Public Benefits Bench (Vals AI) | 67.2% | Not measured | Only Claude Sonnet 5.5 measured |
| SAGE (Vals AI) | 51.8% | 43.0% | Claude Sonnet 5.5 |
| MedScribe (Vals AI) | 91.1% | 80.6% | Claude Sonnet 5.5 |
| IFBench | Not measured | 75.4% | Only GPT-5 Mini measured |
| Long context reasoning (AA-LCR) | 82.7% | 72.3% | Claude Sonnet 5.5 |
| DTBench | 97.3% | 80.5% | Claude Sonnet 5.5 |
| LMCA | 68.3% | 34.2% | Claude Sonnet 5.5 |
| Fiction.LiveBench | Not measured | 69.4% | Only GPT-5 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 83.1% | Only GPT-5 Mini measured |
| Furniture assembly | 75.0% | Not measured | Only Claude Sonnet 5.5 measured |
| LMArena Text | 1473 | 1373 | Claude Sonnet 5.5 |
| LMArena Text: instruction following | 1492 | 1357 | Claude Sonnet 5.5 |
| LMArena Text: creative writing | 1467 | 1325 | Claude Sonnet 5.5 |
| LMArena Vision | 1287 | 1202 | Claude Sonnet 5.5 |
| LMArena Text: English | 1484 | 1379 | Claude Sonnet 5.5 |
| LMArena Text: non-English | 1456 | 1363 | Claude Sonnet 5.5 |
| LMArena Text: Chinese | 1535 | 1386 | Claude Sonnet 5.5 |
| LMArena Text: German | Not measured | 1366 | Only GPT-5 Mini measured |
| LMArena Text: Japanese | Not measured | 1341 | Only GPT-5 Mini measured |
| LMArena Text: Korean | Not measured | 1308 | Only GPT-5 Mini measured |
| LMArena Text: French | 1499 | 1386 | Claude Sonnet 5.5 |
| LMArena Text: Spanish | 1451 | 1354 | Claude Sonnet 5.5 |
| LMArena Text: Russian | 1454 | 1362 | Claude Sonnet 5.5 |
| LMArena Text: Polish | Not measured | 1378 | Only GPT-5 Mini measured |
| LMArena Text: multi-turn | 1465 | 1363 | Claude Sonnet 5.5 |
| LMArena Text: longer queries | 1495 | 1355 | Claude Sonnet 5.5 |
| LMArena Text: writing and language | 1474 | 1344 | Claude Sonnet 5.5 |
| LMArena Text: entertainment and media | 1461 | 1340 | Claude Sonnet 5.5 |
| LMArena Vision: English | 1289 | 1216 | Claude Sonnet 5.5 |
| LMArena Vision: Chinese | Not measured | 1214 | Only GPT-5 Mini measured |
| LMArena Vision: reading text | 1297 | 1199 | Claude Sonnet 5.5 |
| LMArena Vision: humor | Not measured | 1205 | Only GPT-5 Mini measured |
| LMArena Vision: captioning | Not measured | 1217 | Only GPT-5 Mini measured |
| LMArena Vision: recognizing things | Not measured | 1226 | Only GPT-5 Mini measured |
| LMArena Vision: creative writing | 1242 | 1181 | Claude Sonnet 5.5 |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Sonnet 5.5 | GPT-5 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
Claude Sonnet 5.5$0.0070Fits in one request
GPT-5 Mini$0.0013Fits in one request
GPT-5 Mini costs less
Repository review
50K input + 3K output tokens
Claude Sonnet 5.5$0.130Fits in one request
GPT-5 Mini$0.018Fits in one request
GPT-5 Mini costs less
Agent loop
200K input + 10K output tokens
Claude Sonnet 5.5$0.500Fits in one request
GPT-5 Mini$0.070Fits in one request
GPT-5 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 Sonnet 5.5 | OpenAI GPT-5 Mini |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | September 28, 2026 | August 7, 2025 |
| Context window | 1M | 400K |
| Input $/Mtok | $2.00 | $0.25 |
| Output $/Mtok | $10.00 | $2.00 |
| Coding index | 87.3 | 34.2 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | Not computable | $0.08 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5.5 better than GPT-5 Mini for coding?
Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 5.0x cheaper ($2.00 vs $10.00 per million).
Which is cheaper, Claude Sonnet 5.5 or GPT-5 Mini?
Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Cost per solved task is known for GPT-5 Mini only.
Which has the bigger context window, Claude Sonnet 5.5 or GPT-5 Mini?
Claude Sonnet 5.5, with 1M tokens against 400K.
How many benchmarks is the Claude Sonnet 5.5 vs GPT-5 Mini comparison based on?
56 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and GPT-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.