Claude Opus 4.1 vs GPT-5 Mini
Updated October 21, 2026. 63 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 27.2 for Claude Opus 4.1.
Pick Claude Opus 4.1 when what matters is Terminal-Bench or LMArena Text: coding, where it leads.
- Shared results
- 63
- Claude Opus 4.1 only
- 8
- GPT-5 Mini only
- 35
- 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, four public coding benchmarks
GPT-5 Mini
GPT-5 Mini scores 59.8 against 27.2.
One benchmark behind each score
Intelligence
AA Intelligence Index
Claude Opus 4.1
Claude Opus 4.1 leads, 22.8 against 20.6.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5 Mini
GPT-5 Mini leads, 80.3% against 76.3%.
Same board, both measured
Math
AIME
GPT-5 Mini
GPT-5 Mini leads, 91.5% against 78.2%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.1
Claude Opus 4.1 leads, 87.9% against 82.2%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 4.1
Claude Opus 4.1 leads, 1177 against 1125.
Same board, both measured
Long documents
Listed context window
GPT-5 Mini
GPT-5 Mini takes 400K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5 Mini
Claude Opus 4.1 $0.052, 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 Opus 4.1 27.2 from 1 benchmark, GPT-5 Mini 59.8 from 1 benchmark.
- Widest category
- Math, 11.9 points apart on average over 8 shared benchmarks.
- Widest single gap
- FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against GPT-5 Mini 46.7%, 34.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.1 $75.00 against GPT-5 Mini $2.00 per million output tokens, 37.5x apart.
- Context window
- Claude Opus 4.1 takes 200K 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 Opus 4.1 | Bars | GPT-5 Mini | Ties |
|---|---|---|---|---|
| Coding | 3 | 2 | ||
| Intelligence | 1 | 1 | ||
| Reasoning | 5 | 3 | ||
| Math | 4 | 4 | ||
| Knowledge | 7 | 3 | ||
| Web design | 8 | 0 | ||
| General | 19 | 3 | ||
| All shared boards | 47 | 16 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index32
| Benchmark | Claude Opus 4.1 | 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 |
| LMArena WebDev | 1390 | Not measured | Only Claude Opus 4.1 measured |
| LiveCodeBench (Vals AI) | 66.5% | 86.6% | GPT-5 Mini |
| SWE-bench Verified (Vals AI) | Not measured | 60.8% | Only GPT-5 Mini measured |
| Vibe Code Bench (Vals AI) | Not measured | 14.2% | Only GPT-5 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 83.8% | Only GPT-5 Mini measured |
| SciCode | Not measured | 39.0% | Only GPT-5 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 33.3% | Only GPT-5 Mini measured |
| Terminal-Bench | 38.0% | 34.8% | Claude Opus 4.1 |
| WeirdML | 45.9% | 52.7% | GPT-5 Mini |
| Cybench | 42.0% | Not measured | Only Claude Opus 4.1 measured |
| LMArena Text: coding | 1479 | 1406 | Claude Opus 4.1 |
| LMArena Text: software and IT | 1456 | 1394 | Claude Opus 4.1 |
| LMArena WebDev: HTML | 1399 | Not measured | Only Claude Opus 4.1 measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Claude Opus 4.1 | GPT-5 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 20.6 | Claude Opus 4.1 |
| Epoch Capabilities Index | 144.1 | 145.3 | GPT-5 Mini |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Claude Opus 4.1 | GPT-5 Mini | Leader |
|---|---|---|---|
| τ²-Bench Telecom | Not measured | 71.1% | Only GPT-5 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% | Not measured | Only Claude Opus 4.1 measured |
| Vending-Bench 2 | Not measured | -$31 | Only GPT-5 Mini measured |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
| Benchmark | Claude Opus 4.1 | GPT-5 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 76.3% | 80.3% | GPT-5 Mini |
| MMMU Pro (Vals AI) | 77.5% | 78.9% | GPT-5 Mini |
| GPQA Diamond (Artificial Analysis run) | Not measured | 82.8% | Only GPT-5 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 21.5% | Only GPT-5 Mini measured |
| GPQA Diamond (Epoch AI run) | 77.3% | 75.0% | Claude Opus 4.1 |
| ARC-AGI | Not measured | 54.3% | Only GPT-5 Mini measured |
| ARC-AGI-2 | Not measured | 4.4% | Only GPT-5 Mini measured |
| SimpleBench | 60.0% | Not measured | Only Claude Opus 4.1 measured |
| Chess puzzles | Not measured | 24.0% | Only GPT-5 Mini measured |
| Mystery game puzzles | 21.0% | 10.0% | Claude Opus 4.1 |
| EBR-bench | 7.9% | Not measured | Only Claude Opus 4.1 measured |
| VPCT | 35.0% | 40.2% | GPT-5 Mini |
| LMArena Text: hard prompts | 1442 | 1380 | Claude Opus 4.1 |
| LMArena Text: expert | 1438 | 1379 | Claude Opus 4.1 |
| LMArena Text: hard prompts in English | 1451 | 1383 | Claude Opus 4.1 |
| LMArena Vision: diagrams | Not measured | 1202 | Only GPT-5 Mini measured |
| LMArena Vision: homework | Not measured | 1210 | 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 index44
| Benchmark | Claude Opus 4.1 | GPT-5 Mini | Leader |
|---|---|---|---|
| AIME | 78.2% | 91.5% | GPT-5 Mini |
| MATH 500 (Vals AI) | 95.4% | 94.8% | Claude Opus 4.1 |
| MGSM (Vals AI) | 94.4% | 92.6% | Claude Opus 4.1 |
| 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 | 68.9% | 86.7% | GPT-5 Mini |
| FrontierMath, tiers 1 to 3 | 12.6% | 46.7% | GPT-5 Mini |
| FrontierMath, tier 4 | 2.4% | 12.2% | GPT-5 Mini |
| ProofBench | Not measured | 9.0% | Only GPT-5 Mini measured |
| MATH level 5 | Not measured | 97.8% | Only GPT-5 Mini measured |
| LMArena Text: math | 1431 | 1378 | Claude Opus 4.1 |
| LMArena Text: mathematical work | 1434 | 1380 | Claude Opus 4.1 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
| Benchmark | Claude Opus 4.1 | GPT-5 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 87.9% | 82.2% | Claude Opus 4.1 |
| LegalBench (Vals AI) | 83.5% | 81.8% | Claude Opus 4.1 |
| 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) | 73.7% | 75.2% | GPT-5 Mini |
| MortgageTax (Vals AI) | 61.1% | 66.9% | GPT-5 Mini |
| MedQA (Vals AI) | 93.6% | 96.1% | GPT-5 Mini |
| MedCode (Vals AI) | 47.2% | 43.0% | Claude Opus 4.1 |
| MMLU Pro (Artificial Analysis run) | Not measured | 83.7% | Only GPT-5 Mini measured |
| SimpleQA Verified | Not measured | 21.6% | Only GPT-5 Mini measured |
| LMArena Text: science | 1422 | 1371 | Claude Opus 4.1 |
| LMArena Text: medicine and healthcare | 1416 | 1380 | Claude Opus 4.1 |
| LMArena Text: legal and government | 1421 | 1375 | Claude Opus 4.1 |
| LMArena Text: business and finance | 1406 | 1358 | Claude Opus 4.1 |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Claude Opus 4.1 | GPT-5 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1177 | 1125 | Claude Opus 4.1 |
| Design Arena: UI components | 1164 | 1106 | Claude Opus 4.1 |
| Design Arena: game dev | 1172 | 1130 | Claude Opus 4.1 |
| Design Arena: data viz | 1166 | 1131 | Claude Opus 4.1 |
| Design Arena: 3D | 1153 | 1037 | Claude Opus 4.1 |
| Design Arena: all code categories | 1171 | 1115 | Claude Opus 4.1 |
| Design Arena: SVG | 1152 | 1091 | Claude Opus 4.1 |
| Design Arena: ASCII art | 1167 | 1124 | Claude Opus 4.1 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index193
| Benchmark | Claude Opus 4.1 | GPT-5 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 31.4% | 43.0% | GPT-5 Mini |
| MedScribe (Vals AI) | 73.9% | 80.6% | GPT-5 Mini |
| IFBench | Not measured | 75.4% | Only GPT-5 Mini measured |
| Long context reasoning (AA-LCR) | Not measured | 72.3% | Only GPT-5 Mini measured |
| DTBench | 80.0% | 80.5% | GPT-5 Mini |
| LMCA | 37.1% | 34.2% | Claude Opus 4.1 |
| Fiction.LiveBench | Not measured | 69.4% | Only GPT-5 Mini measured |
| Creative writing (Lech Mazur) | 84.7% | 83.1% | Claude Opus 4.1 |
| LMArena Text | 1419 | 1373 | Claude Opus 4.1 |
| LMArena Text: instruction following | 1435 | 1357 | Claude Opus 4.1 |
| LMArena Text: creative writing | 1412 | 1325 | Claude Opus 4.1 |
| LMArena Vision | Not measured | 1202 | Only GPT-5 Mini measured |
| LMArena Text: English | 1433 | 1379 | Claude Opus 4.1 |
| LMArena Text: non-English | 1405 | 1363 | Claude Opus 4.1 |
| LMArena Text: Chinese | 1427 | 1386 | Claude Opus 4.1 |
| LMArena Text: German | 1413 | 1366 | Claude Opus 4.1 |
| LMArena Text: Japanese | 1377 | 1341 | Claude Opus 4.1 |
| LMArena Text: Korean | 1381 | 1308 | Claude Opus 4.1 |
| LMArena Text: French | 1433 | 1386 | Claude Opus 4.1 |
| LMArena Text: Spanish | 1448 | 1354 | Claude Opus 4.1 |
| LMArena Text: Russian | 1422 | 1362 | Claude Opus 4.1 |
| LMArena Text: Polish | 1413 | 1378 | Claude Opus 4.1 |
| LMArena Text: multi-turn | 1444 | 1363 | Claude Opus 4.1 |
| LMArena Text: longer queries | 1455 | 1355 | Claude Opus 4.1 |
| LMArena Text: writing and language | 1418 | 1344 | Claude Opus 4.1 |
| LMArena Text: entertainment and media | 1398 | 1340 | Claude Opus 4.1 |
| LMArena Vision: English | Not measured | 1216 | Only GPT-5 Mini measured |
| LMArena Vision: Chinese | Not measured | 1214 | Only GPT-5 Mini measured |
| LMArena Vision: reading text | Not measured | 1199 | Only GPT-5 Mini measured |
| 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 | Not measured | 1181 | Only GPT-5 Mini measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.1 | 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
GPT-5 Mini costs less
Repository review
50K input + 3K output tokens
GPT-5 Mini costs less
Agent loop
200K input + 10K output tokens
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 Opus 4.1 | OpenAI GPT-5 Mini |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | August 5, 2025 | August 7, 2025 |
| Context window | 200K | 400K |
| Input $/Mtok | $15.00 | $0.25 |
| Output $/Mtok | $75.00 | $2.00 |
| Coding index | 27.2 | 59.8 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.08 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.1 better than GPT-5 Mini for coding?
Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 27.2 for Claude Opus 4.1. Pick Claude Opus 4.1 when what matters is Terminal-Bench or LMArena Text: coding, where it leads.
Which is cheaper, Claude Opus 4.1 or GPT-5 Mini?
Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 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 Opus 4.1 or GPT-5 Mini?
GPT-5 Mini, with 400K tokens against 200K.
How many benchmarks is the Claude Opus 4.1 vs GPT-5 Mini comparison based on?
63 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and GPT-5 Mini's on 1. Where only one model has a result, the page says so instead of naming a winner.