Model comparison
Grok 4.5 vs Llama 13b
Grok 4.5 is the stronger model overall, scoring 55.0 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Grok 4.5 scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.5 leads 65.8 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Grok 4.5 | Llama 13b | |
|---|---|---|
| Provider | xAI | Meta |
| Noometry Index | 55.0 | 24.4 |
| Released | 2026-07-08 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 52 | 21 |
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Category by category
Coding Grok 4.5 leads
Grok 4.5: 52.2 (#35), Llama 13b: 21.4 (#337)
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Coding | 1474 | 683 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1553 | — |
| SciCode | 54.1% | — |
| WeirdML | 46.4% | — |
| ALE-Bench | 1,309 | — |
Agentic & Tool Use Not comparable
Grok 4.5: 44.4 (#17), Llama 13b: —
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| APEX-Agents | 56.2% | — |
| τ²-bench Banking | 47.9% | — |
| PostTrainBench | 23.4% | — |
| GBAEval | 65.4% | — |
| GDP.pdf | 14% | — |
| LMArena Search | 1213 | — |
| Vending-Bench 2 | 3,887 | — |
Reasoning Grok 4.5 leads
Grok 4.5: 56.1 (#25), Llama 13b: 14.0 (#329)
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1462 | 728 |
| Epoch Capabilities Index | 153.92 | 100.58 |
| ARC-AGI-2 | 52.6% | — |
| SimpleBench | 70% | — |
| Kagi LLM Benchmark | 83.5% | — |
| NYT Connections (extended) | 79.9% | — |
| ARC-AGI-1 | 87.2% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 36% | — |
| DTBench | 96.5% | — |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
| BIG-Bench Hard | — | 37.9% |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Grok 4.5 leads
Grok 4.5: 60.9 (#35), Llama 13b: 26.7 (#256)
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Math | 1459 | 838 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 31% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Grok 4.5: 62.3 (#24), Llama 13b: —
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| GPQA Diamond | 93.4% | — |
| SimpleQA Verified | 48.3% | — |
| LMArena Expert | 1466 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Grok 4.5: 37.6 (#72), Llama 13b: —
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Vision | 1288 | — |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
| ScienceQA | — | 43.3% |
Multilingual Grok 4.5 leads
Grok 4.5: 54.4 (#42), Llama 13b: 16.6 (#297)
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1440 | 819 |
| LMArena Chinese | 1496 | — |
| LMArena French | 1456 | — |
| LMArena German | 1446 | — |
| LMArena Japanese | 1428 | — |
| LMArena Korean | 1404 | — |
| LMArena Russian | 1448 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Grok 4.5 leads
Grok 4.5: 76.0 (#48), Llama 13b: 36.7 (#305)
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1446 | 781 |
Long Context Not comparable
Grok 4.5: 44.8 (#56), Llama 13b: —
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1463 | — |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.8 (#42), Llama 13b: 13.8 (#312)
| Benchmark | Grok 4.5 | Llama 13b |
|---|---|---|
| LMArena Text | 1448 | 834 |
| LMArena Creative Writing | 1442 | 794 |
| LMArena Multi-Turn | 1456 | 753 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Grok 4.5 better than Llama 13b?
Grok 4.5 is the stronger model overall, scoring 55.0 to 24.4 on the Noometry Index.
Is Grok 4.5 or Llama 13b better for coding?
Grok 4.5 scores higher on coding benchmarks: 52.2 versus 21.4 in the Noometry coding category.
How many benchmarks do Grok 4.5 and Llama 13b share?
9 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and Llama 13b has 21.