# Command R vs Llama-3.3-70B-Instruct

> Command R and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (31.0 vs 30.3), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/command-r-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 29

## Summary

- They share 29 benchmarks with published results for both. Command R scores higher in 2 categories and Llama-3.3-70B-Instruct in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama-3.3-70B-Instruct leads 71.3 to 58.3.
- The biggest single-benchmark swing is LiveBench Reasoning: 21.9% for Command R and 50.8% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct is cheaper at $0.10 / $0.32 per million input/output tokens, against $0.15 / $0.60 for Command R.

## Snapshot

| | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 31.0 | 30.3 |
| Rank | 267 | 283 |
| Context | 128K | 128K |
| Input $/M | $0.15 | $0.10 |
| Output $/M | $0.60 | $0.32 |
| Weights | Open | Open |

## Coding

- Command R: 28.8 (#301)
- Llama-3.3-70B-Instruct: 30.6 (#284)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| BigCodeBench Instruct | 37.1% | 46.9% |
| LiveBench Coding | 17.9% | 36.6% |
| LMArena Coding | 1170 | 1268 |
| BigCodeBench Complete | 45.2% | 57.5% |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |

## Agentic & Tool Use

- Command R: —
- Llama-3.3-70B-Instruct: 25.6 (#100)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |

## Reasoning

- Command R: 13.3 (#329)
- Llama-3.3-70B-Instruct: 13.7 (#325)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Reasoning | 21.9% | 50.8% |
| LMArena Hard Prompts | 1164 | 1257 |
| DTBench | 46.4% | 59.5% |
| LiveBench Data Analysis | 33.3% | 49.5% |
| LMCA | 9.2% | 17.5% |
| LiveBench | 27.5% | 50.2% |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| Epoch Capabilities Index | — | 127.32 |
| ForecastBench | — | 58.6 |

## Math

- Command R: 25.8 (#244)
- Llama-3.3-70B-Instruct: 14.3 (#292)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Math | 19.4% | 42.2% |
| LMArena Math | 1155 | 1268 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| MATH Level 5 | — | 41.6% |

## Knowledge

- Command R: 30.5 (#219)
- Llama-3.3-70B-Instruct: 30.5 (#220)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Expert | 1138 | 1225 |
| MMLU | 65.2% | 86.3% |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |

## Multilingual

- Command R: 35.9 (#240)
- Llama-3.3-70B-Instruct: 40.1 (#215)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1174 | 1236 |
| LMArena Chinese | 1182 | 1217 |
| LMArena French | 1161 | 1280 |
| LMArena German | 1176 | 1251 |
| LMArena Japanese | 1143 | 1149 |
| LMArena Korean | 1162 | 1142 |
| LMArena Russian | 1174 | 1252 |
| LMArena Spanish | 1150 | 1269 |

## Instruction Following

- Command R: 58.3 (#256)
- Llama-3.3-70B-Instruct: 71.3 (#152)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Instruction Following | 55.6% | 82.7% |
| LMArena Instruction Following | 1167 | 1242 |

## Long Context

- Command R: 36.3 (#226)
- Llama-3.3-70B-Instruct: 26.4 (#290)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1198 | 1256 |
| Fiction.LiveBench | — | 33.3% |

## Writing & Preference

- Command R: 38.4 (#248)
- Llama-3.3-70B-Instruct: 47.8 (#203)

| Benchmark | Command R | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1187 | 1274 |
| LMArena Creative Writing | 1170 | 1250 |
| LMArena Multi-Turn | 1163 | 1279 |
| LiveBench Language | 16.7% | 39.2% |

## FAQ

### Is Command R better than Llama-3.3-70B-Instruct?

Command R and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (31.0 vs 30.3), so choose on price, context window or the category you care about most.

### Which is cheaper, Command R or Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is cheaper. It lists at $0.10 per million input tokens and $0.32 per million output tokens; Command R lists at $0.15 and $0.60.

### Is Command R or Llama-3.3-70B-Instruct better for coding?

Llama-3.3-70B-Instruct scores higher on coding benchmarks: 30.6 versus 28.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do Command R and Llama-3.3-70B-Instruct share?

29 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Llama-3.3-70B-Instruct has 43.