Model comparison
Codestral vs ERNIE 5.0 0110
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 30.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
BaiduSummary
- The widest gap is in coding, where ERNIE 5.0 0110 leads 43.0 to 27.3.
Side by side
| Codestral | ERNIE 5.0 0110 | |
|---|---|---|
| Provider | Mistral AI | Baidu |
| Noometry Index | 30.6 | 41.8 |
| Released | 2024-05-29 | — |
| Weights | Proprietary | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.30 | — |
| Output $ / M tokens | $0.90 | — |
| Results tracked | 7 | 20 |
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Category by category
Coding ERNIE 5.0 0110 leads
Codestral: 27.3 (#321), ERNIE 5.0 0110: 43.0 (#94)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1455 |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning Codestral leads
Codestral: 19.8 (#251), ERNIE 5.0 0110: 17.0 (#297)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 10.3% |
| Thematic Generalization | — | 41.7% |
| LMArena Hard Prompts | — | 1445 |
Math Not comparable
Codestral: —, ERNIE 5.0 0110: 39.3 (#110)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Math | — | 1437 |
Knowledge Not comparable
Codestral: —, ERNIE 5.0 0110: 39.8 (#128)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Expert | — | 1428 |
Multimodal Not comparable
Codestral: —, ERNIE 5.0 0110: 39.9 (#53)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Vision | — | 1249 |
Multilingual Not comparable
Codestral: —, ERNIE 5.0 0110: 54.1 (#49)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Non-English | — | 1436 |
| LMArena Chinese | — | 1512 |
| LMArena French | — | 1467 |
| LMArena German | — | 1460 |
| LMArena Japanese | — | 1382 |
| LMArena Korean | — | 1406 |
| LMArena Russian | — | 1446 |
| LMArena Spanish | — | 1473 |
Instruction Following Not comparable
Codestral: —, ERNIE 5.0 0110: 74.5 (#92)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Instruction Following | — | 1413 |
Long Context Not comparable
Codestral: —, ERNIE 5.0 0110: 43.4 (#95)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Longer Query | — | 1422 |
Writing & Preference Not comparable
Codestral: —, ERNIE 5.0 0110: 63.1 (#66)
| Benchmark | Codestral | ERNIE 5.0 0110 |
|---|---|---|
| LMArena Text | — | 1445 |
| LMArena Creative Writing | — | 1426 |
| LMArena Multi-Turn | — | 1434 |
Frequently asked questions
Is Codestral better than ERNIE 5.0 0110?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 30.6 on the Noometry Index.
Is Codestral or ERNIE 5.0 0110 better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 27.3 in the Noometry coding category.
How many benchmarks do Codestral and ERNIE 5.0 0110 share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and ERNIE 5.0 0110 has 20.