# Claude Opus 4.8 vs o1

> Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 40.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-opus-4-8-vs-o1
- Last updated: 2026-10-10
- Shared benchmarks: 31

## Summary

- They share 31 benchmarks with published results for both. Claude Opus 4.8 scores higher in 9 categories and o1 in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.8 leads 78.4 to 36.1.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 80% for Claude Opus 4.8 and 14.7% for o1.
- Claude Opus 4.8 is cheaper at $5 / $25 per million input/output tokens, against $15 / $60 for o1.
- Claude Opus 4.8 accepts more context: 1M tokens versus 200K.

## Snapshot

| | Claude Opus 4.8 | o1 |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 60.7 | 40.9 |
| Rank | 13 | 143 |
| Context | 1M | 200K |
| Input $/M | $5 | $15 |
| Output $/M | $25 | $60 |
| Weights | Proprietary | Proprietary |

## Coding

- Claude Opus 4.8: 59.9 (#12)
- o1: 46.1 (#70)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| WeirdML | 82.9% | 47.6% |
| LMArena Coding | 1490 | 1367 |
| DeepSWE | 59% | — |
| FrontierCode | 46.5% | — |
| Aider Polyglot | — | 61.7% |
| LMArena WebDev | 1556 | — |
| SciCode | 53.5% | — |
| GSO | 47.1% | — |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| ALE-Bench | 1,564 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |

## Agentic & Tool Use

- Claude Opus 4.8: 47.6 (#11)
- o1: 24.6 (#117)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| APEX-Agents | 48.9% | — |
| OSWorld 2.0 | 20.6% | — |
| Remote Labor Index | 8.3% | — |
| τ²-bench Banking | 39.7% | — |
| Cybench | — | 10% |
| DeepResearch Bench | 50.2% | — |
| PostTrainBench | 33.8% | — |
| GBAEval | 70.9% | — |
| GDP.pdf | 24% | — |
| LMArena Search | 1204 | — |
| METR Time Horizons | — | 51.1% |
| Vending-Bench 2 | 5,787 | — |

## Reasoning

- Claude Opus 4.8: 64.7 (#16)
- o1: 27.9 (#111)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| SimpleBench | 64.8% | 41.7% |
| ARC-AGI-1 | 92.5% | 30.7% |
| Chess Puzzles | 34% | 15% |
| EnigmaEval | 23.5% | 5.7% |
| LMArena Hard Prompts | 1482 | 1371 |
| DTBench | 94.9% | 74.7% |
| LMCA | 57.5% | 22.3% |
| Epoch Capabilities Index | 158.21 | 141.91 |
| ARC-AGI-2 | 72.1% | — |
| Kagi LLM Benchmark | 88.8% | — |
| NYT Connections (extended) | 91.1% | — |
| CritPt | 20.9% | — |
| EBR-Bench | 28.6% | — |
| LiveBench Reasoning | — | 91.6% |
| Mystery Game Puzzles | 36% | — |
| LiveBench Data Analysis | — | 65.5% |
| Surface Evolver Bench | 87.5% | — |
| Bench to the Future 3 | 0.14 | — |
| ForecastBench | 59.9 | — |
| LiveBench | — | 75.7% |

## Math

- Claude Opus 4.8: 78.4 (#13)
- o1: 36.1 (#175)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 80% | 14.7% |
| OTIS Mock AIME 2024-2025 | 98.3% | 73.3% |
| LMArena Math | 1487 | 1388 |
| FrontierMath (Feb 2025 set) | 47.2% | 9.3% |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | 91.8% | — |
| ProofBench | 69% | — |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath Tier 4 (v1) | 31.3% | — |

## Knowledge

- Claude Opus 4.8: 61.3 (#29)
- o1: 41.5 (#110)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| GPQA Diamond | 91% | 76.8% |
| SimpleQA Verified | 53% | 41.1% |
| LMArena Expert | 1502 | 1361 |
| Humanity's Last Exam | — | 8% |
| Confabulations | — | 11.7% |

## Multimodal

- Claude Opus 4.8: 42.9 (#26)
- o1: 34.2 (#93)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| LMArena Vision | 1294 | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| Blueprint-Bench 2 | 14.5% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1475 | — |
| SpatialViz-Bench | — | 41.4% |

## Multilingual

- Claude Opus 4.8: 55.2 (#33)
- o1: 48.6 (#142)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| LMArena Non-English | 1450 | 1358 |
| LMArena Chinese | 1507 | 1394 |
| LMArena French | 1481 | 1344 |
| LMArena German | 1472 | 1337 |
| LMArena Japanese | 1440 | 1346 |
| LMArena Korean | 1432 | 1396 |
| LMArena Russian | 1474 | 1356 |
| LMArena Spanish | 1466 | 1345 |

## Instruction Following

- Claude Opus 4.8: 77.4 (#24)
- o1: 74.8 (#86)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| LMArena Instruction Following | 1476 | 1367 |
| LiveBench Instruction Following | — | 81.5% |

## Long Context

- Claude Opus 4.8: 45.4 (#35)
- o1: 50.3 (#9)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| LMArena Longer Query | 1483 | 1378 |
| Fiction.LiveBench | — | 83.3% |

## Writing & Preference

- Claude Opus 4.8: 72.0 (#16)
- o1: 55.6 (#144)

| Benchmark | Claude Opus 4.8 | o1 |
|---|---|---|
| LMArena Text | 1461 | 1366 |
| LMArena Creative Writing | 1454 | 1348 |
| LMArena Multi-Turn | 1476 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 1840 | — |
| EQ-Bench 4 | 1281 | — |
| LiveBench Language | — | 65.4% |

## FAQ

### Is Claude Opus 4.8 better than o1?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 40.9 on the Noometry Index.

### Which is cheaper, Claude Opus 4.8 or o1?

Claude Opus 4.8 is cheaper. It lists at $5 per million input tokens and $25 per million output tokens; o1 lists at $15 and $60.

### Is Claude Opus 4.8 or o1 better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 46.1 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 200K.

### How many benchmarks do Claude Opus 4.8 and o1 share?

31 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and o1 has 52.