ERNIE 4.5 vs Mistral Large 2
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Anbieter | Baidu | Mistral |
| Kontextfenster | 131.072 | 128.000 |
| Erscheinungsdatum | 2025-06-30 | 2024-07-24 |
| Eingabepreis | $0.50/ 1M Tokens | $2.00/ 1M Tokens |
| Ausgabepreis | $1.00/ 1M Tokens | $6.00/ 1M Tokens |
| Geeignet für | — | coding · reasoning · chatbot · multilingual |
Funktionen
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Vision | ✗ | ✗ |
| Schlussfolgerung | ✗ | ✓ |
| Programmierung | ✗ | ✓ |
| Audio | ✗ | ✗ |
| Tool-Aufruf | ✗ | ✓ |
| Langer Kontext | ✗ | ✓ |
Ranking-Vergleich
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Gesamt | 15.9 | 73.6 |
| Benchmark | 0 | 88 |
| Fähigkeit | 0 | 57.1 |
| Preiseffizienz | 100 | 100 |
| Kontext | 65.5 | 64 |
Gesamt = Benchmark 50% + Fähigkeit 20% + Preiseffizienz 20% + Kontext 10%.
Benchmark-Vergleich
| ERNIE 4.5 | Mistral Large 2 | |
|---|---|---|
| Programmierung | — | — |
| Schlussfolgerung | — | — |
| Mathematik | — | — |
| Vision | — | — |
Preisverlauf
ERNIE 4.5
Noch kein Preisverlauf vorhanden.
/ 1M Tokens
Mistral Large 2
| Datum | Eingabe | Ausgabe |
|---|---|---|
| 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: Schlussfolgerung, Programmierung, Tool-Aufruf, Langer Kontext