# Claude Opus 4.8 vs Command A

> Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 36.5 on the Noometry Index. Command A costs 2.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-opus-4-8-vs-command-a
- Last updated: 2026-10-11
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Claude Opus 4.8 scores higher in 9 categories and Command A in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.8 leads 64.7 to 18.3.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 88.8% for Claude Opus 4.8 and 28.8% for Command A.
- Command A is cheaper at $2.50 / $10 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
- Claude Opus 4.8 accepts more context: 1M tokens versus 256K.
- Command A has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4.8 | Command A |
|---|---|---|
| Provider | Anthropic | Cohere |
| Noometry Index | 60.7 | 36.5 |
| Rank | 13 | 215 |
| Context | 1M | 256K |
| Input $/M | $5 | $2.50 |
| Output $/M | $25 | $10 |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4.8: 59.9 (#12)
- Command A: 27.2 (#322)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Coding | 1490 | 1330 |
| DeepSWE | 59% | — |
| FrontierCode | 46.5% | — |
| Aider Polyglot | — | 12% |
| LMArena WebDev | 1556 | — |
| SciCode | 53.5% | — |
| GSO | 47.1% | — |
| WeirdML | 82.9% | — |
| ALE-Bench | 1,564 | — |

## Agentic & Tool Use

- Claude Opus 4.8: 47.6 (#11)
- Command A: 35.9 (#40)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| APEX-Agents | 48.9% | — |
| Berkeley Function Calling Leaderboard | — | 57.1% |
| OSWorld 2.0 | 20.6% | — |
| Remote Labor Index | 8.3% | — |
| τ²-bench Banking | 39.7% | — |
| DeepResearch Bench | 50.2% | — |
| PostTrainBench | 33.8% | — |
| GBAEval | 70.9% | — |
| GDP.pdf | 24% | — |
| LMArena Search | 1204 | — |
| Vending-Bench 2 | 5,787 | — |

## Reasoning

- Claude Opus 4.8: 64.7 (#16)
- Command A: 18.3 (#283)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| Kagi LLM Benchmark | 88.8% | 28.8% |
| LMArena Hard Prompts | 1482 | 1326 |
| DTBench | 94.9% | 61.3% |
| LMCA | 57.5% | 10.3% |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 64.8% | — |
| NYT Connections (extended) | 91.1% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 20.9% | — |
| Chess Puzzles | 34% | — |
| EnigmaEval | 23.5% | — |
| EBR-Bench | 28.6% | — |
| Mystery Game Puzzles | 36% | — |
| Surface Evolver Bench | 87.5% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 158.21 | — |
| ForecastBench | 59.9 | — |

## Math

- Claude Opus 4.8: 78.4 (#13)
- Command A: 36.2 (#171)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Math | 1487 | 1300 |
| FrontierMath (Tiers 1-3) | 80% | — |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | 91.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 69% | — |
| FrontierMath (Feb 2025 set) | 47.2% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |

## Knowledge

- Claude Opus 4.8: 61.3 (#29)
- Command A: 37.1 (#159)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Expert | 1502 | 1295 |
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 53% | — |
| Vectara Hallucination Rate | — | 9.3% |

## Multimodal

- Claude Opus 4.8: 42.9 (#26)
- Command A: —

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Vision | 1294 | — |
| Blueprint-Bench 2 | 14.5% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1475 | — |

## Multilingual

- Claude Opus 4.8: 55.2 (#33)
- Command A: 45.3 (#170)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Non-English | 1450 | 1313 |
| LMArena Chinese | 1507 | 1327 |
| LMArena French | 1481 | 1351 |
| LMArena German | 1472 | 1341 |
| LMArena Japanese | 1440 | 1285 |
| LMArena Korean | 1432 | 1285 |
| LMArena Russian | 1474 | 1314 |
| LMArena Spanish | 1466 | 1347 |

## Instruction Following

- Claude Opus 4.8: 77.4 (#24)
- Command A: 69.1 (#177)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Instruction Following | 1476 | 1309 |

## Long Context

- Claude Opus 4.8: 45.4 (#35)
- Command A: 40.6 (#151)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Longer Query | 1483 | 1334 |

## Writing & Preference

- Claude Opus 4.8: 72.0 (#16)
- Command A: 47.6 (#208)

| Benchmark | Claude Opus 4.8 | Command A |
|---|---|---|
| LMArena Text | 1461 | 1331 |
| LMArena Creative Writing | 1454 | 1319 |
| EQ-Bench Creative Writing | 1840 | 1145 |
| LMArena Multi-Turn | 1476 | 1339 |
| EQ-Bench 4 | 1281 | — |

## FAQ

### Is Claude Opus 4.8 better than Command A?

Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 36.5 on the Noometry Index. Command A costs 2.3× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.

### Which is cheaper, Claude Opus 4.8 or Command A?

Command A is cheaper. It lists at $2.50 per million input tokens and $10 per million output tokens; Claude Opus 4.8 lists at $5 and $25.

### Is Claude Opus 4.8 or Command A better for coding?

Claude Opus 4.8 scores higher on coding benchmarks: 59.9 versus 27.2 in the Noometry coding category.

### Which has the bigger context window?

Claude Opus 4.8 does, with 1M tokens against 256K.

### How many benchmarks do Claude Opus 4.8 and Command A share?

21 benchmarks have published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Command A has 24.