Model comparison
Grok-3 mini vs Llama-3.3-70B-Instruct
Grok-3 mini is the stronger model overall, scoring 41.2 to 30.6 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Grok-3 mini scores higher in 7 categories and Llama-3.3-70B-Instruct in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok-3 mini leads 42.1 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 77.8% for Grok-3 mini and 5.1% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok-3 mini | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 41.2 | 30.6 |
| Released | 2025-04-09 | 2024-12-06 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 35 | 43 |
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Category by category
Coding Grok-3 mini leads
Grok-3 mini: 40.8 (#131), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| WeirdML | 42.6% | 14.4% |
| LMArena Coding | 1379 | 1268 |
| Aider Polyglot | 49.3% | — |
| SciCode | — | 26% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
Agentic & Tool Use Not comparable
Grok-3 mini: —, Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Too close to call
Grok-3 mini: 13.6 (#334), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1375 | 1257 |
| Epoch Capabilities Index | 140.35 | 127.33 |
| ARC-AGI-2 | 0.4% | — |
| SimpleBench | — | 19.9% |
| Kagi LLM Benchmark | 61.3% | — |
| ARC-AGI-1 | 16.5% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
Math Grok-3 mini leads
Grok-3 mini: 42.1 (#85), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 77.8% | 5.1% |
| LMArena Math | 1386 | 1267 |
| MATH Level 5 | 90.9% | 41.6% |
| Omni-MATH | 31.8% | — |
| LiveBench Math | — | 42.2% |
| FrontierMath (Feb 2025 set) | 5.9% | — |
Knowledge Grok-3 mini leads
Grok-3 mini: 46.4 (#81), Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 76.3% | 47.4% |
| Confabulations | 10.8% | 22.8% |
| LMArena Expert | 1395 | 1225 |
| MMLU-Pro | 79.9% | — |
| Vectara Hallucination Rate | — | 4.1% |
| GPQA (HELM) | 67.5% | — |
| MMLU | — | 86.3% |
Multilingual Grok-3 mini leads
Grok-3 mini: 48.1 (#145), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1352 | 1236 |
| LMArena Chinese | 1387 | 1217 |
| LMArena French | 1357 | 1281 |
| LMArena German | 1349 | 1251 |
| LMArena Japanese | 1342 | 1150 |
| LMArena Korean | 1335 | 1143 |
| LMArena Russian | 1353 | 1252 |
| LMArena Spanish | 1381 | 1270 |
Instruction Following Grok-3 mini leads
Grok-3 mini: 78.5 (#9), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1357 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
| IFEval | 95.1% | — |
Long Context Grok-3 mini leads
Grok-3 mini: 41.0 (#147), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| Fiction.LiveBench | 66.7% | 33.3% |
| LMArena Longer Query | 1372 | 1256 |
Writing & Preference Grok-3 mini leads
Grok-3 mini: 52.5 (#169), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | Grok-3 mini | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1370 | 1274 |
| LMArena Creative Writing | 1342 | 1250 |
| LMArena Multi-Turn | 1355 | 1280 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 65.1% | — |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Grok-3 mini better than Llama-3.3-70B-Instruct?
Grok-3 mini is the stronger model overall, scoring 41.2 to 30.6 on the Noometry Index.
Is Grok-3 mini or Llama-3.3-70B-Instruct better for coding?
Grok-3 mini scores higher on coding benchmarks: 40.8 versus 31.0 in the Noometry coding category.
How many benchmarks do Grok-3 mini and Llama-3.3-70B-Instruct share?
24 benchmarks have published results for both models. Grok-3 mini has 35 scored results on Noometry and Llama-3.3-70B-Instruct has 43.