Model comparison
Codellama 34b Instruct vs Grok 4.20 (Non-Reasoning)
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 30.8 on the Noometry Index.
Last verified . 10 shared benchmarks.
MetaSummary
- They share 10 benchmarks with published results for both. Codellama 34b Instruct scores higher in 0 categories and Grok 4.20 (Non-Reasoning) in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.20 (Non-Reasoning) leads 65.7 to 28.2.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) | |
|---|---|---|
| Provider | Meta | xAI |
| Noometry Index | 30.8 | 48.6 |
| Released | — | 2026-02-17 |
| Weights | Open | Proprietary |
| Context window | — | 1M |
| Max output | — | 30K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $2.50 |
| Results tracked | 14 | 46 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.20 (Non-Reasoning) leads
Codellama 34b Instruct: 28.5 (#314), Grok 4.20 (Non-Reasoning): 42.1 (#112)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Coding | 1046 | 1459 |
| LMArena WebDev | — | 1375 |
| WeirdML | — | 52.3% |
| BigCodeBench Instruct | 29% | — |
| BigCodeBench Complete | 37.1% | — |
| ALE-Bench | — | 1,150 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Grok 4.20 (Non-Reasoning): 34.4 (#46)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| Terminal-Bench | — | 57.3% |
| τ²-bench Banking | — | 18% |
| LMArena Search | — | 1189 |
| Vending-Bench 2 | — | 4,663 |
Reasoning Grok 4.20 (Non-Reasoning) leads
Codellama 34b Instruct: 19.6 (#255), Grok 4.20 (Non-Reasoning): 52.3 (#32)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1451 |
| ARC-AGI-2 | — | 65.1% |
| Kagi LLM Benchmark | — | 75% |
| NYT Connections (extended) | — | 85.4% |
| ARC-AGI-1 | — | 89.5% |
| Chess Puzzles | — | 24% |
| Thematic Generalization | — | 63.8% |
| DTBench | — | 90.1% |
| LMCA | — | 38.7% |
| Epoch Capabilities Index | — | 151.98 |
| ForecastBench | — | 61.4 |
Math Grok 4.20 (Non-Reasoning) leads
Codellama 34b Instruct: 31.0 (#230), Grok 4.20 (Non-Reasoning): 48.2 (#65)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Math | 1056 | 1455 |
| FrontierMath (Tiers 1-3) | — | 44.9% |
| FrontierMath Tier 4 | — | 17.1% |
| OTIS Mock AIME 2024-2025 | — | 92.2% |
| ProofBench | — | 14% |
Knowledge Not comparable
Codellama 34b Instruct: —, Grok 4.20 (Non-Reasoning): 52.8 (#60)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| GPQA Diamond | — | 89.3% |
| SimpleQA Verified | — | 30.2% |
| LMArena Expert | — | 1439 |
Multimodal Not comparable
Codellama 34b Instruct: —, Grok 4.20 (Non-Reasoning): 33.3 (#98)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Vision | — | 1263 |
| Blueprint-Bench 2 | — | 0% |
| LMArena Document | — | 1416 |
Multilingual Grok 4.20 (Non-Reasoning) leads
Codellama 34b Instruct: 25.8 (#284), Grok 4.20 (Non-Reasoning): 54.5 (#40)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Non-English | 1011 | 1441 |
| LMArena Chinese | 976 | 1481 |
| LMArena French | — | 1476 |
| LMArena German | — | 1465 |
| LMArena Japanese | — | 1449 |
| LMArena Korean | — | 1417 |
| LMArena Russian | — | 1458 |
| LMArena Spanish | — | 1443 |
Instruction Following Grok 4.20 (Non-Reasoning) leads
Codellama 34b Instruct: 52.2 (#291), Grok 4.20 (Non-Reasoning): 74.8 (#83)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Instruction Following | 1028 | 1420 |
Long Context Grok 4.20 (Non-Reasoning) leads
Codellama 34b Instruct: 30.9 (#284), Grok 4.20 (Non-Reasoning): 45.5 (#34)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Longer Query | 1013 | 1437 |
| CL-bench | — | 22.2% |
| CL-bench Life | — | 11.9% |
Writing & Preference Grok 4.20 (Non-Reasoning) leads
Codellama 34b Instruct: 28.2 (#297), Grok 4.20 (Non-Reasoning): 65.7 (#44)
| Benchmark | Codellama 34b Instruct | Grok 4.20 (Non-Reasoning) |
|---|---|---|
| LMArena Text | 1066 | 1451 |
| LMArena Creative Writing | 1032 | 1438 |
| LMArena Multi-Turn | 1015 | 1456 |
| EQ-Bench Creative Writing | — | 1574 |
Frequently asked questions
Is Codellama 34b Instruct better than Grok 4.20 (Non-Reasoning)?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.6 to 30.8 on the Noometry Index.
Is Codellama 34b Instruct or Grok 4.20 (Non-Reasoning) better for coding?
Grok 4.20 (Non-Reasoning) scores higher on coding benchmarks: 42.1 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Grok 4.20 (Non-Reasoning) share?
10 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Grok 4.20 (Non-Reasoning) has 46.