Model comparison
Codellama 70b Instruct vs DeepSeek-V2.5 (Sep 2024)
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 33.7 on the Noometry Index.
Last verified . 7 shared benchmarks.
Meta
DeepSeekSummary
- They share 7 benchmarks with published results for both. Codellama 70b Instruct scores higher in 1 category and DeepSeek-V2.5 (Sep 2024) in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where DeepSeek-V2.5 (Sep 2024) leads 42.5 to 24.8.
- The biggest single-benchmark swing is BigCodeBench Instruct: 40.7% for Codellama 70b Instruct and 48.6% for DeepSeek-V2.5 (Sep 2024).
Side by side
| Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) | |
|---|---|---|
| Provider | Meta | DeepSeek |
| Noometry Index | 33.7 | 37.6 |
| Released | — | 2024-09-06 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 22 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), DeepSeek-V2.5 (Sep 2024): 31.7 (#281)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 48.6% |
| BigCodeBench Complete | 49.6% | 53.2% |
| HumanEval+ | 65.9% | 83.5% |
| Aider Polyglot | — | 17.8% |
| LMArena Coding | — | 1309 |
| MBPP+ | — | 74.1% |
Reasoning DeepSeek-V2.5 (Sep 2024) leads
Codellama 70b Instruct: 20.1 (#242), DeepSeek-V2.5 (Sep 2024): 25.6 (#145)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1289 |
Math Not comparable
Codellama 70b Instruct: —, DeepSeek-V2.5 (Sep 2024): 35.9 (#177)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Math | — | 1288 |
Knowledge Not comparable
Codellama 70b Instruct: —, DeepSeek-V2.5 (Sep 2024): 34.8 (#193)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Expert | — | 1266 |
Multilingual DeepSeek-V2.5 (Sep 2024) leads
Codellama 70b Instruct: 24.8 (#288), DeepSeek-V2.5 (Sep 2024): 42.5 (#193)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Non-English | 992 | 1273 |
| LMArena Chinese | — | 1318 |
| LMArena French | — | 1289 |
| LMArena German | — | 1258 |
| LMArena Japanese | — | 1228 |
| LMArena Korean | — | 1209 |
| LMArena Russian | — | 1289 |
| LMArena Spanish | — | 1248 |
Instruction Following DeepSeek-V2.5 (Sep 2024) leads
Codellama 70b Instruct: 51.9 (#293), DeepSeek-V2.5 (Sep 2024): 67.5 (#194)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Instruction Following | 1024 | 1280 |
Long Context Not comparable
Codellama 70b Instruct: —, DeepSeek-V2.5 (Sep 2024): 39.5 (#174)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Longer Query | — | 1301 |
Writing & Preference DeepSeek-V2.5 (Sep 2024) leads
Codellama 70b Instruct: 33.4 (#277), DeepSeek-V2.5 (Sep 2024): 49.8 (#187)
| Benchmark | Codellama 70b Instruct | DeepSeek-V2.5 (Sep 2024) |
|---|---|---|
| LMArena Text | 1057 | 1294 |
| LMArena Creative Writing | — | 1285 |
| LMArena Multi-Turn | — | 1297 |
Frequently asked questions
Is Codellama 70b Instruct better than DeepSeek-V2.5 (Sep 2024)?
DeepSeek-V2.5 (Sep 2024) is the stronger model overall, scoring 37.6 to 33.7 on the Noometry Index.
Is Codellama 70b Instruct or DeepSeek-V2.5 (Sep 2024) better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 31.7 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and DeepSeek-V2.5 (Sep 2024) share?
7 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and DeepSeek-V2.5 (Sep 2024) has 22.