AI Model Comparison
Side-by-side comparison of pricing, context window, benchmarks, capabilities, and license. Every figure comes from the developer's own pages, last checked on ; each model's page lists its sources. A figure we could not source shows as a dash.
Model A — DeepSeek
DeepSeek-V4-Pro is a 1.6-trillion-parameter Mixture-of-Experts model with 49B active parameters and a one-million-token context. The API serves DeepSeek-V4-Pro-0813, the general-availability version released on 2026-08-13.
Model B — Baidu
ERNIE 5.1 is Baidu's latest ERNIE model, derived from ERNIE 5.0 with total parameters cut to about one-third and active parameters to about one-half; Baidu says it took about 6% of the pre-training cost of comparable models. It is served through Baidu's Qianfan platform with a 128k context.
| Property | DeepSeek-V4-Pro | ERNIE 5.1 |
|---|---|---|
| Released | Aug 13, 2026 | May 9, 2026 |
| Developer | DeepSeek | Baidu |
| Type | llm | llm |
| License | open-weight | proprietary |
| Context window | 1,000,000 | — |
| Parameters | 1.6T total, 49B active (MoE) | — |
| Developer status | — | — |
| Input $/M tokens | $1.32 | — |
| Output $/M tokens | $3.96 | — |
Bold green values indicate the winner on that dimension where comparison is meaningful (lower price wins; bigger context wins; more open license wins; newer date wins). Prices are the ones each developer lists today; a model it no longer prices has none.
No exclusive capabilities
No exclusive capabilities
Programmatic access available at /api/ai/compare?a=deepseek-v4-pro&b=ernie-5-1. CORS is open. Citation guidance: /about/editorial-process.