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 — 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.
Model B — AI21 Labs
Jamba2 Mini is an open-source model in AI21 Labs’ Jamba2 family, released on January 8, 2026 alongside Jamba2 3B. It is built on the SSM-Transformer architecture and aimed at grounded, steerable enterprise question answering without the overhead of a reasoning model.
| Property | ERNIE 5.1 | Jamba2 Mini |
|---|---|---|
| Released | May 9, 2026 | Jan 8, 2026 |
| Developer | Baidu | AI21 Labs |
| Type | llm | llm |
| License | proprietary | open-weight |
| Context window | — | — |
| Parameters | — | 52B total, 12B active (Mixture of Experts) |
| Developer status | — | — |
| Input $/M tokens | — | $0.20 |
| Output $/M tokens | — | $0.40 |
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
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