Model comparison
Grok 4 Fast vs Llama-3.3-70B-Instruct
Grok 4 Fast is the stronger model overall, scoring 39.4 to 30.6 on the Noometry Index.
Last verified . 23 shared benchmarks.
MetaSummary
- They share 23 benchmarks with published results for both. Grok 4 Fast scores higher in 9 categories and Llama-3.3-70B-Instruct in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 26.4.
- The biggest single-benchmark swing is Fiction.LiveBench: 94.4% for Grok 4 Fast and 33.3% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4 Fast | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 39.4 | 30.6 |
| Released | 2025-09-19 | 2024-12-06 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 30 | 43 |
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Category by category
Coding Grok 4 Fast leads
Grok 4 Fast: 32.5 (#271), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| WeirdML | 42.9% | 14.4% |
| LMArena Coding | 1429 | 1268 |
| LMArena WebDev | 1159 | — |
| SciCode | — | 26% |
| BigCodeBench Instruct | — | 46.9% |
| LiveBench Coding | — | 36.6% |
| BigCodeBench Complete | — | 57.5% |
Agentic & Tool Use Grok 4 Fast leads
Grok 4 Fast: 29.5 (#86), Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| BALROG | — | 23% |
| LMArena Search | 1171 | — |
Reasoning Grok 4 Fast leads
Grok 4 Fast: 22.2 (#201), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1412 | 1257 |
| DTBench | 82.7% | 59.5% |
| Epoch Capabilities Index | 144.2 | 127.33 |
| ForecastBench | 60.5 | 58.6 |
| ARC-AGI-2 | 5.3% | — |
| SimpleBench | — | 19.9% |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| LiveBench | — | 50.2% |
Math Grok 4 Fast leads
Grok 4 Fast: 38.9 (#123), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1419 | 1267 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
Knowledge Grok 4 Fast leads
Grok 4 Fast: 32.0 (#214), Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| Vectara Hallucination Rate | 19.7% | 4.1% |
| LMArena Expert | 1411 | 1225 |
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| MMLU | — | 86.3% |
Multilingual Grok 4 Fast leads
Grok 4 Fast: 51.3 (#111), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1396 | 1236 |
| LMArena Chinese | 1457 | 1217 |
| LMArena French | 1431 | 1281 |
| LMArena German | 1383 | 1251 |
| LMArena Japanese | 1352 | 1150 |
| LMArena Korean | 1357 | 1143 |
| LMArena Russian | 1389 | 1252 |
| LMArena Spanish | 1415 | 1270 |
Instruction Following Grok 4 Fast leads
Grok 4 Fast: 73.2 (#121), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1387 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Grok 4 Fast leads
Grok 4 Fast: 63.2 (#3), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| Fiction.LiveBench | 94.4% | 33.3% |
| LMArena Longer Query | 1415 | 1256 |
Writing & Preference Grok 4 Fast leads
Grok 4 Fast: 60.0 (#102), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | Grok 4 Fast | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1407 | 1274 |
| LMArena Creative Writing | 1387 | 1250 |
| LMArena Multi-Turn | 1414 | 1280 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Grok 4 Fast better than Llama-3.3-70B-Instruct?
Grok 4 Fast is the stronger model overall, scoring 39.4 to 30.6 on the Noometry Index.
Is Grok 4 Fast or Llama-3.3-70B-Instruct better for coding?
Grok 4 Fast scores higher on coding benchmarks: 32.5 versus 31.0 in the Noometry coding category.
How many benchmarks do Grok 4 Fast and Llama-3.3-70B-Instruct share?
23 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Llama-3.3-70B-Instruct has 43.