Model comparison
Codellama 70b Instruct vs Grok 4.5
Grok 4.5 is the stronger model overall, scoring 55.0 to 33.7 on the Noometry Index.
Last verified . 4 shared benchmarks.
MetaSummary
- They share 4 benchmarks with published results for both. Codellama 70b Instruct scores higher in 0 categories and Grok 4.5 in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.1 to 20.1.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 70b Instruct | Grok 4.5 | |
|---|---|---|
| Provider | Meta | xAI |
| Noometry Index | 33.7 | 55.0 |
| Released | — | 2026-07-08 |
| Weights | Open | Proprietary |
| Context window | — | 500K |
| Max output | — | 500K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 7 | 52 |
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Category by category
Coding Grok 4.5 leads
Codellama 70b Instruct: 37.6 (#193), Grok 4.5: 52.2 (#35)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| DeepSWE | — | 53.8% |
| FrontierCode | — | 42.4% |
| LMArena WebDev | — | 1553 |
| SciCode | — | 54.1% |
| WeirdML | — | 46.4% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1474 |
| BigCodeBench Complete | 49.6% | — |
| ALE-Bench | — | 1,309 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Grok 4.5: 44.4 (#17)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| 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
Codellama 70b Instruct: 20.1 (#242), Grok 4.5: 56.1 (#25)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1462 |
| 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% |
| Epoch Capabilities Index | — | 153.92 |
Math Not comparable
Codellama 70b Instruct: —, Grok 4.5: 60.9 (#35)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 24.4% |
| OTIS Mock AIME 2024-2025 | — | 97.8% |
| ProofBench | — | 31% |
| LMArena Math | — | 1459 |
Knowledge Not comparable
Codellama 70b Instruct: —, Grok 4.5: 62.3 (#24)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| GPQA Diamond | — | 93.4% |
| SimpleQA Verified | — | 48.3% |
| LMArena Expert | — | 1466 |
Multimodal Not comparable
Codellama 70b Instruct: —, Grok 4.5: 37.6 (#72)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| LMArena Vision | — | 1288 |
| Blueprint-Bench 2 | — | 27.3% |
| Furniture Assembly | — | 22.5% |
| LMArena Document | — | 1452 |
Multilingual Grok 4.5 leads
Codellama 70b Instruct: 24.8 (#288), Grok 4.5: 54.4 (#42)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| LMArena Non-English | 992 | 1440 |
| 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
Codellama 70b Instruct: 51.9 (#293), Grok 4.5: 76.0 (#48)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| LMArena Instruction Following | 1024 | 1446 |
Long Context Not comparable
Codellama 70b Instruct: —, Grok 4.5: 44.8 (#56)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| LMArena Longer Query | — | 1463 |
Writing & Preference Grok 4.5 leads
Codellama 70b Instruct: 33.4 (#277), Grok 4.5: 65.8 (#42)
| Benchmark | Codellama 70b Instruct | Grok 4.5 |
|---|---|---|
| LMArena Text | 1057 | 1448 |
| LMArena Creative Writing | — | 1442 |
| EQ-Bench Creative Writing | — | 1579 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Codellama 70b Instruct better than Grok 4.5?
Grok 4.5 is the stronger model overall, scoring 55.0 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or Grok 4.5 better for coding?
Grok 4.5 scores higher on coding benchmarks: 52.2 versus 37.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Grok 4.5 share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Grok 4.5 has 52.