# Granite 4.0 Micro vs Llama-3.3-70B-Instruct

> Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 3.8× less per token, which makes it the better buy when Llama-3.3-70B-Instruct's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/granite-4-0-micro-vs-llama-3-3-70b-instruct
- Last updated: 2026-10-12
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Granite 4.0 Micro scores higher in 1 category and Llama-3.3-70B-Instruct in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama-3.3-70B-Instruct leads 30.6 to 9.9.
- The biggest single-benchmark swing is GPQA Diamond: 28.3% for Granite 4.0 Micro and 47.4% for Llama-3.3-70B-Instruct.
- Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.10 / $0.32 for Llama-3.3-70B-Instruct.
- Granite 4.0 Micro accepts more context: 131K tokens versus 128K.

## Snapshot

| | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| Provider | IBM | Meta |
| Noometry Index | 29.0 | 30.6 |
| Rank | 318 | 291 |
| Context | 131K | 128K |
| Input $/M | $0.017 | $0.10 |
| Output $/M | $0.11 | $0.32 |
| Weights | Open | Open |

## Coding

- Granite 4.0 Micro: —
- Llama-3.3-70B-Instruct: 31.0 (#290)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| LMArena Coding | — | 1268 |
| BigCodeBench Complete | — | 57.5% |

## Agentic & Tool Use

- Granite 4.0 Micro: —
- Llama-3.3-70B-Instruct: 25.8 (#105)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |

## Reasoning

- Granite 4.0 Micro: 19.2 (#265)
- Llama-3.3-70B-Instruct: 14.1 (#327)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 50.8% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.33 |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |

## Math

- Granite 4.0 Micro: 12.0 (#307)
- Llama-3.3-70B-Instruct: 15.3 (#298)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.8% | 5.1% |
| Omni-MATH | 20.9% | — |
| LiveBench Math | — | 42.2% |
| LMArena Math | — | 1267 |
| MATH Level 5 | — | 41.6% |

## Knowledge

- Granite 4.0 Micro: 9.9 (#304)
- Llama-3.3-70B-Instruct: 30.6 (#226)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 28.3% | 47.4% |
| MMLU-Pro | 39.5% | — |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| GPQA (HELM) | 30.7% | — |
| LMArena Expert | — | 1225 |
| MMLU | — | 86.3% |

## Multilingual

- Granite 4.0 Micro: —
- Llama-3.3-70B-Instruct: 39.9 (#220)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | — | 1236 |
| LMArena Chinese | — | 1217 |
| LMArena French | — | 1281 |
| LMArena German | — | 1251 |
| LMArena Japanese | — | 1150 |
| LMArena Korean | — | 1143 |
| LMArena Russian | — | 1252 |
| LMArena Spanish | — | 1270 |

## Instruction Following

- Granite 4.0 Micro: 69.9 (#169)
- Llama-3.3-70B-Instruct: 71.1 (#157)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Instruction Following | — | 82.7% |
| IFEval | 84.9% | — |
| LMArena Instruction Following | — | 1242 |

## Long Context

- Granite 4.0 Micro: —
- Llama-3.3-70B-Instruct: 26.4 (#295)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| Fiction.LiveBench | — | 33.3% |
| LMArena Longer Query | — | 1256 |

## Writing & Preference

- Granite 4.0 Micro: 46.7 (#216)
- Llama-3.3-70B-Instruct: 47.6 (#207)

| Benchmark | Granite 4.0 Micro | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | — | 1274 |
| LMArena Creative Writing | — | 1250 |
| WildBench | 67% | — |
| LMArena Multi-Turn | — | 1280 |
| LiveBench Language | — | 39.2% |

## FAQ

### Is Granite 4.0 Micro better than Llama-3.3-70B-Instruct?

Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 3.8× less per token, which makes it the better buy when Llama-3.3-70B-Instruct's lead doesn't matter for your workload.

### Which is cheaper, Granite 4.0 Micro or Llama-3.3-70B-Instruct?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; Llama-3.3-70B-Instruct lists at $0.10 and $0.32.

### Which has the bigger context window?

Granite 4.0 Micro does, with 131K tokens against 128K.

### How many benchmarks do Granite 4.0 Micro and Llama-3.3-70B-Instruct share?

2 benchmarks have published results for both models. Granite 4.0 Micro has 8 scored results on Noometry and Llama-3.3-70B-Instruct has 43.