Claude Haiku 3.5 vs ERNIE 4.5 VL 424B
| Claude Haiku 3.5 | ERNIE 4.5 VL 424B | |
|---|---|---|
| Proveedor | Anthropic | Baidu |
| Ventana de contexto | 200.000 | 123.000 |
| Fecha de lanzamiento | 2024-11-04 | 2025-06-30 |
| Precio de entrada | $0.80/ 1M tokens | $0.42/ 1M tokens |
| Precio de salida | $4.00/ 1M tokens | $1.25/ 1M tokens |
| Ideal para | high-volume tasks · classification · moderation · fast responses | multimodal · vision · chatbot · Chinese content |
Capacidades
| Claude Haiku 3.5 | ERNIE 4.5 VL 424B | |
|---|---|---|
| Visión | ✗ | ✓ |
| Razonamiento | ✗ | ✓ |
| Codificación | ✗ | ✓ |
| Audio | ✗ | ✗ |
| Llamada a herramientas | ✗ | ✓ |
| Contexto largo | ✗ | ✓ |
Comparación de ranking
| Claude Haiku 3.5 | ERNIE 4.5 VL 424B | |
|---|---|---|
| General | 30 | 43.3 |
| Benchmark | 0 | 0 |
| Capacidad | 0 | 85.7 |
| Eficiencia de precio | 100 | 100 |
| Contexto | 100 | 61.5 |
General = Benchmark 50% + Capacidad 20% + Eficiencia de precio 20% + Contexto 10%.
Comparación de benchmarks
| Claude Haiku 3.5 | ERNIE 4.5 VL 424B | |
|---|---|---|
| Programación | — | — |
| Razonamiento | — | — |
| Matemáticas | — | — |
| Visión | — | — |
Historial de precios
Claude Haiku 3.5
| Fecha | Entrada | Salida |
|---|---|---|
| 2026-08-05 | $0.80 | $4.00 |
/ 1M tokens
ERNIE 4.5 VL 424B
| Fecha | Entrada | Salida |
|---|---|---|
| 2026-08-05 | $0.42 | $1.25 |
/ 1M tokens
Claude Haiku 3.5
Fast, affordable model for high-throughput and latency-sensitive tasks.
ERNIE 4.5 VL 424B
Baidu's largest multimodal flagship model with vision and text understanding.
Frequently Asked Questions
Which model is better: Claude Haiku 3.5 or ERNIE 4.5 VL 424B?
Based on overall scores, ERNIE 4.5 VL 424B ranks higher (43.3 vs 30). See the comparison table for a full breakdown.
Which model is cheaper: Claude Haiku 3.5 or ERNIE 4.5 VL 424B?
ERNIE 4.5 VL 424B is cheaper: $0.42 vs $0.8 per 1M input tokens.
What are the capability differences between Claude Haiku 3.5 and ERNIE 4.5 VL 424B?
ERNIE 4.5 VL 424B: Visión, Razonamiento, Codificación, Llamada a herramientas, Contexto largo