ERNIE 4.5 vs Gemini 1.5 Pro
| ERNIE 4.5 | Gemini 1.5 Pro | |
|---|---|---|
| Anbieter | Baidu | |
| Kontextfenster | 131.072 | 2.000.000 |
| Erscheinungsdatum | 2025-06-30 | 2024-02-15 |
| Eingabepreis | $0.50/ 1M Tokens | $1.25/ 1M Tokens |
| Ausgabepreis | $1.00/ 1M Tokens | $5.00/ 1M Tokens |
| Geeignet für | — | multimodal · long-context analysis · chatbot · document processing |
Funktionen
| ERNIE 4.5 | Gemini 1.5 Pro | |
|---|---|---|
| Vision | ✗ | ✓ |
| Schlussfolgerung | ✗ | ✓ |
| Programmierung | ✗ | ✓ |
| Audio | ✗ | ✓ |
| Tool-Aufruf | ✗ | ✓ |
| Langer Kontext | ✗ | ✓ |
Ranking-Vergleich
| ERNIE 4.5 | Gemini 1.5 Pro | |
|---|---|---|
| Gesamt | 15.9 | 76.9 |
| Benchmark | 0 | 70.8 |
| Fähigkeit | 0 | 100 |
| Preiseffizienz | 100 | 100 |
| Kontext | 65.5 | 100 |
Gesamt = Benchmark 50% + Fähigkeit 20% + Preiseffizienz 20% + Kontext 10%.
Benchmark-Vergleich
| ERNIE 4.5 | Gemini 1.5 Pro | |
|---|---|---|
| Programmierung | — | — |
| Schlussfolgerung | — | — |
| Mathematik | — | — |
| Vision | — | — |
Preisverlauf
ERNIE 4.5
Noch kein Preisverlauf vorhanden.
/ 1M Tokens
Gemini 1.5 Pro
| Datum | Eingabe | Ausgabe |
|---|---|---|
| 2026-08-11 | $1.25 | $5.00 |
/ 1M Tokens
ERNIE 4.5
ERNIE 4.5 model
Gemini 1.5 Pro
Google's long-context multimodal model supporting up to 2M tokens.
ERNIE 4.5
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Gemini 1.5 Pro
Data Reliability
Benchmark · VerifiedOfficial · Verified
Data confidence: 90%
Why compare these models?
Choose ERNIE 4.5 if:
- • Lower input price
Choose Gemini 1.5 Pro if:
- • Higher overall score
Frequently Asked Questions
Which model is better: ERNIE 4.5 or Gemini 1.5 Pro?
Based on overall scores, Gemini 1.5 Pro ranks higher (76.9 vs 15.9). See the comparison table for a full breakdown.
Which model is cheaper: ERNIE 4.5 or Gemini 1.5 Pro?
ERNIE 4.5 is cheaper: $0.5 vs $1.25 per 1M input tokens.
What are the capability differences between ERNIE 4.5 and Gemini 1.5 Pro?
Gemini 1.5 Pro: Vision, Schlussfolgerung, Programmierung, Audio, Tool-Aufruf, Langer Kontext