Model comparison
ERNIE 5.0 0110 vs Mistral Large
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 31.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Baidu
Mistral AISummary
- They share 17 benchmarks with published results for both. ERNIE 5.0 0110 scores higher in 8 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where ERNIE 5.0 0110 leads 63.1 to 40.7.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| ERNIE 5.0 0110 | Mistral Large | |
|---|---|---|
| Provider | Baidu | Mistral AI |
| Noometry Index | 41.8 | 31.9 |
| Released | — | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $6 |
| Results tracked | 20 | 51 |
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Category by category
Coding ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.0 (#94), Mistral Large: 34.3 (#240)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Coding | 1455 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
ERNIE 5.0 0110: —, Mistral Large: 28.6 (#89)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 17.0 (#297), Mistral Large: 15.8 (#310)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1445 | 1257 |
| SimpleBench | — | 22.5% |
| NYT Connections (extended) | 10.3% | — |
| CritPt | — | 0% |
| Thematic Generalization | 41.7% | — |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.3 (#110), Mistral Large: 18.2 (#291)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Math | 1437 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 39.8 (#128), Mistral Large: 30.1 (#230)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Expert | 1428 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |
Multimodal Not comparable
ERNIE 5.0 0110: 39.9 (#53), Mistral Large: —
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Vision | 1249 | — |
Multilingual ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 54.1 (#49), Mistral Large: 40.0 (#219)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1436 | 1237 |
| LMArena Chinese | 1512 | 1240 |
| LMArena French | 1467 | 1325 |
| LMArena German | 1460 | 1254 |
| LMArena Japanese | 1382 | 1188 |
| LMArena Korean | 1406 | 1202 |
| LMArena Russian | 1446 | 1257 |
| LMArena Spanish | 1473 | 1268 |
Instruction Following ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 74.5 (#92), Mistral Large: 67.9 (#191)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1413 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
Long Context ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 43.4 (#95), Mistral Large: 38.3 (#199)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1422 | 1261 |
Writing & Preference ERNIE 5.0 0110 leads
ERNIE 5.0 0110: 63.1 (#66), Mistral Large: 40.7 (#242)
| Benchmark | ERNIE 5.0 0110 | Mistral Large |
|---|---|---|
| LMArena Text | 1445 | 1266 |
| LMArena Creative Writing | 1426 | 1243 |
| LMArena Multi-Turn | 1434 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is ERNIE 5.0 0110 better than Mistral Large?
ERNIE 5.0 0110 is the stronger model overall, scoring 41.8 to 31.9 on the Noometry Index.
Is ERNIE 5.0 0110 or Mistral Large better for coding?
ERNIE 5.0 0110 scores higher on coding benchmarks: 43.0 versus 34.3 in the Noometry coding category.
How many benchmarks do ERNIE 5.0 0110 and Mistral Large share?
17 benchmarks have published results for both models. ERNIE 5.0 0110 has 20 scored results on Noometry and Mistral Large has 51.