# Llama-3.3-70B-Instruct vs Olmo 3 32b Think

> Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 30.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-3-70b-instruct-vs-olmo-3-32b-think
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 1 category and Olmo 3 32b Think in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3 32b Think leads 33.8 to 14.3.

## Snapshot

| | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| Provider | Meta | Allen Institute for AI (Ai2) |
| Noometry Index | 30.3 | 38.1 |
| Rank | 283 | 182 |
| Context | 128K | — |
| Input $/M | $0.10 | — |
| Output $/M | $0.32 | — |
| Weights | Open | Open |

## Coding

- Llama-3.3-70B-Instruct: 30.6 (#284)
- Olmo 3 32b Think: 38.0 (#169)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1268 | 1318 |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| BigCodeBench Complete | 57.5% | — |

## Agentic & Tool Use

- Llama-3.3-70B-Instruct: 25.6 (#100)
- Olmo 3 32b Think: —

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |

## Reasoning

- Llama-3.3-70B-Instruct: 13.7 (#325)
- Olmo 3 32b Think: 24.9 (#138)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1302 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.32 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |

## Math

- Llama-3.3-70B-Instruct: 14.3 (#292)
- Olmo 3 32b Think: 33.8 (#165)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1268 | 1315 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |

## Knowledge

- Llama-3.3-70B-Instruct: 30.5 (#220)
- Olmo 3 32b Think: 34.4 (#189)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1225 | 1272 |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| MMLU | 86.3% | — |

## Multilingual

- Llama-3.3-70B-Instruct: 40.1 (#215)
- Olmo 3 32b Think: 41.4 (#205)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1236 | 1255 |
| LMArena Chinese | 1217 | 1300 |
| LMArena French | 1280 | 1291 |
| LMArena German | 1251 | 1290 |
| LMArena Russian | 1252 | 1255 |
| LMArena Japanese | 1149 | — |
| LMArena Korean | 1142 | — |
| LMArena Spanish | 1269 | — |

## Instruction Following

- Llama-3.3-70B-Instruct: 71.3 (#152)
- Olmo 3 32b Think: 67.4 (#193)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1242 | 1275 |
| LiveBench Instruction Following | 82.7% | — |

## Long Context

- Llama-3.3-70B-Instruct: 26.4 (#290)
- Olmo 3 32b Think: 39.4 (#177)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1256 | 1296 |
| Fiction.LiveBench | 33.3% | — |

## Writing & Preference

- Llama-3.3-70B-Instruct: 47.8 (#203)
- Olmo 3 32b Think: 49.2 (#188)

| Benchmark | Llama-3.3-70B-Instruct | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1274 | 1300 |
| LMArena Creative Writing | 1250 | 1256 |
| LMArena Multi-Turn | 1279 | 1289 |
| LiveBench Language | 39.2% | — |

## FAQ

### Is Llama-3.3-70B-Instruct better than Olmo 3 32b Think?

Olmo 3 32b Think is the stronger model overall, scoring 38.1 to 30.3 on the Noometry Index.

### Is Llama-3.3-70B-Instruct or Olmo 3 32b Think better for coding?

Olmo 3 32b Think scores higher on coding benchmarks: 38.0 versus 30.6 in the Noometry coding category.

### How many benchmarks do Llama-3.3-70B-Instruct and Olmo 3 32b Think share?

14 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Olmo 3 32b Think has 14.