ERNIE 4.5 vs Mistral Large 2
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Fournisseur | Baidu | Mistral |
| Fenêtre de contexte | 131 072 | 128 000 |
| Date de sortie | 2025-06-30 | 2024-07-24 |
| Prix d'entrée | $0.50/ 1M tokens | $2.00/ 1M tokens |
| Prix de sortie | $1.00/ 1M tokens | $6.00/ 1M tokens |
| Idéal pour | — | coding · reasoning · chatbot · multilingual |
Capacités
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Vision | ✗ | ✗ |
| Raisonnement | ✗ | ✓ |
| Codage | ✗ | ✓ |
| Audio | ✗ | ✗ |
| Appel d'outils | ✗ | ✓ |
| Contexte long | ✗ | ✓ |
Comparaison de classement
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Global | 15.9 | 73.6 |
| Benchmark | 0 | 88 |
| Capacité | 0 | 57.1 |
| Efficacité prix | 100 | 100 |
| Contexte | 65.5 | 64 |
Global = Benchmark 50% + Capacité 20% + Efficacité prix 20% + Contexte 10%.
Comparaison de benchmarks
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Codage | — | — |
| Raisonnement | — | — |
| Mathématiques | — | — |
| Vision | — | — |
Historique des prix
ERNIE 4.5
Aucun historique de prix pour l'instant.
/ 1M tokens
Mistral Large 2
| Date | Entrée | Sortie |
|---|---|---|
| 2026-08-11 | $2.00 | $6.00 |
/ 1M tokens
ERNIE 4.5
ERNIE 4.5 model
Mistral Large 2
Mistral's flagship model with strong reasoning and code generation in multiple languages.
ERNIE 4.5
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Mistral Large 2
Data Reliability
Benchmark · VerifiedOfficial · Experimental
Data confidence: 90%
Why compare these models?
Choose ERNIE 4.5 if:
- • Lower input price
Choose Mistral Large 2 if:
- • Higher overall score
Frequently Asked Questions
Which model is better: ERNIE 4.5 or Mistral Large 2?
Based on overall scores, Mistral Large 2 ranks higher (73.6 vs 15.9). See the comparison table for a full breakdown.
Which model is cheaper: ERNIE 4.5 or Mistral Large 2?
ERNIE 4.5 is cheaper: $0.5 vs $2 per 1M input tokens.
What are the capability differences between ERNIE 4.5 and Mistral Large 2?
Mistral Large 2: Raisonnement, Codage, Appel d'outils, Contexte long