Model comparison
Codellama 70b Instruct vs GPT-4.1 nano
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 27.9 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 2 categories and GPT-4.1 nano in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4.1 nano leads 41.6 to 24.8.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Codellama 70b Instruct | GPT-4.1 nano | |
|---|---|---|
| Provider | Meta | OpenAI |
| Noometry Index | 33.7 | 27.9 |
| Released | — | 2025-04-14 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 7 | 38 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), GPT-4.1 nano: 24.1 (#330)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| WeirdML | — | 19% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1306 |
| BigCodeBench Complete | 49.6% | — |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, GPT-4.1 nano: 26.5 (#104)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 20.1 (#242), GPT-4.1 nano: 8.5 (#349)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1286 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| DTBench | — | 52.5% |
| LMCA | — | 5.5% |
| Epoch Capabilities Index | — | 129.62 |
Math Not comparable
Codellama 70b Instruct: —, GPT-4.1 nano: 26.9 (#252)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 28.9% |
| Omni-MATH | — | 36.7% |
| LMArena Math | — | 1274 |
| MATH Level 5 | — | 70% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Not comparable
Codellama 70b Instruct: —, GPT-4.1 nano: 21.8 (#273)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | — | 48.9% |
| SimpleQA Verified | — | 6% |
| MMLU-Pro | — | 55% |
| GPQA (HELM) | — | 50.7% |
| LMArena Expert | — | 1272 |
Multimodal Not comparable
Codellama 70b Instruct: —, GPT-4.1 nano: 29.2 (#113)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | — | 1063 |
Multilingual GPT-4.1 nano leads
Codellama 70b Instruct: 24.8 (#288), GPT-4.1 nano: 41.6 (#205)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 992 | 1260 |
| LMArena Chinese | — | 1270 |
| LMArena German | — | 1288 |
| LMArena Japanese | — | 1198 |
| LMArena Russian | — | 1261 |
Instruction Following GPT-4.1 nano leads
Codellama 70b Instruct: 51.9 (#293), GPT-4.1 nano: 67.8 (#193)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Instruction Following | 1024 | 1267 |
| IFEval | — | 84.3% |
Long Context Not comparable
Codellama 70b Instruct: —, GPT-4.1 nano: 23.7 (#296)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| Fiction.LiveBench | — | 25% |
| LMArena Longer Query | — | 1283 |
Writing & Preference GPT-4.1 nano leads
Codellama 70b Instruct: 33.4 (#277), GPT-4.1 nano: 40.5 (#243)
| Benchmark | Codellama 70b Instruct | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1057 | 1285 |
| LMArena Creative Writing | — | 1260 |
| EQ-Bench Creative Writing | — | 946 |
| WildBench | — | 81.2% |
| LMArena Multi-Turn | — | 1277 |
Frequently asked questions
Is Codellama 70b Instruct better than GPT-4.1 nano?
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 27.9 on the Noometry Index.
Is Codellama 70b Instruct or GPT-4.1 nano better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 24.1 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and GPT-4.1 nano share?
4 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and GPT-4.1 nano has 38.