Model comparison
Codestral vs Llama 3.1 Nemotron Ultra 253b v1
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
NVIDIASummary
- The widest gap is in coding, where Llama 3.1 Nemotron Ultra 253b v1 leads 38.4 to 27.3.
- Llama 3.1 Nemotron Ultra 253b v1 has downloadable open weights; the other is API-only.
Side by side
| Codestral | Llama 3.1 Nemotron Ultra 253b v1 | |
|---|---|---|
| Provider | Mistral AI | NVIDIA |
| Noometry Index | 30.6 | 36.7 |
| Released | 2024-05-29 | — |
| Weights | Proprietary | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 11 |
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Category by category
Coding Llama 3.1 Nemotron Ultra 253b v1 leads
Codestral: 27.3 (#321), Llama 3.1 Nemotron Ultra 253b v1: 38.4 (#177)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1312 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Agentic & Tool Use Not comparable
Codestral: —, Llama 3.1 Nemotron Ultra 253b v1: 15.7 (#149)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10% |
Reasoning Llama 3.1 Nemotron Ultra 253b v1 leads
Codestral: 19.8 (#251), Llama 3.1 Nemotron Ultra 253b v1: 26.3 (#134)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| LMArena Hard Prompts | — | 1316 |
Math Not comparable
Codestral: —, Llama 3.1 Nemotron Ultra 253b v1: 37.5 (#152)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Math | — | 1360 |
Multilingual Not comparable
Codestral: —, Llama 3.1 Nemotron Ultra 253b v1: 43.1 (#187)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Non-English | — | 1282 |
| LMArena Russian | — | 1284 |
Instruction Following Not comparable
Codestral: —, Llama 3.1 Nemotron Ultra 253b v1: 69.0 (#178)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Instruction Following | — | 1308 |
Long Context Not comparable
Codestral: —, Llama 3.1 Nemotron Ultra 253b v1: 39.5 (#177)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Longer Query | — | 1299 |
Writing & Preference Not comparable
Codestral: —, Llama 3.1 Nemotron Ultra 253b v1: 52.2 (#175)
| Benchmark | Codestral | Llama 3.1 Nemotron Ultra 253b v1 |
|---|---|---|
| LMArena Text | — | 1320 |
| LMArena Creative Writing | — | 1314 |
| LMArena Multi-Turn | — | 1317 |
Frequently asked questions
Is Codestral better than Llama 3.1 Nemotron Ultra 253b v1?
Llama 3.1 Nemotron Ultra 253b v1 is the stronger model overall, scoring 36.7 to 30.6 on the Noometry Index.
Is Codestral or Llama 3.1 Nemotron Ultra 253b v1 better for coding?
Llama 3.1 Nemotron Ultra 253b v1 scores higher on coding benchmarks: 38.4 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and Llama 3.1 Nemotron Ultra 253b v1 share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Llama 3.1 Nemotron Ultra 253b v1 has 11.