ERNIE X1
baidu/ernie-x1Deliberate reasoning at accessible prices, Baidu's answer to the open reasoning wave.
Model overview
Context window
128K
tokens
Input price
—
quoted on request
Output price
—
quoted on request
Weekly volume
—
tokens / week
Open weights
No
API only
Capabilities
3
of 11 tags
Description
ERNIE X1 is a reasoning model from Baidu ERNIE. Webparam does not stock this model yet and can source it on request — tell us what you need it for and we will come back with availability and a price. Baidu ERNIE’s stated focus is china's longest-running LLM lineage. The weights are not published, so it is API-only.
Capabilities
- Reasoning
- Spends extra billed tokens thinking before it answers, trading latency and cost for accuracy.
- Tool calling
- Calls functions you define and returns their arguments as structured data, the basis of agents.
- Streaming
- Emits tokens as they are generated, so answers appear progressively rather than all at once.
Strengths & weaknesses
Strengths
- Low-cost reasoning
- Good tool use during thinking
- Stable long answers
Weaknesses
- Peak scores trail R1 and K2 Thinking
- Closed weights
Pricing
| Rate | Price | Unit |
|---|---|---|
| Input | — quoted on request | — |
| Output | — quoted on request | — |
This model is not provisioned yet; the rate is quoted on request.
Context window
128Ktokens
covers prompt and response together, so a long input leaves less room for the answer.
Supported features
| Feature | Support |
|---|---|
| Tool calling | Supported |
| JSON mode | Not supported |
| Streaming | Supported |
| Vision input | Not supported |
| Audio input | Not supported |
| Long context | Not supported |
| Open weights | Not supported |
| Reasoning | Supported |
| Fine-tunable | Not supported |
| Batch | Not supported |
| Caching | Not supported |
Example use cases
Budget analysis pipelines
Education products
Verification
Comparison
Compare against anything →| Attribute | ERNIE X1 | DeepSeek R1 | MiniMax M2 |
|---|---|---|---|
| Context window | 128K | 164K | 200K |
| Input price | R0.00 | R0.00 | R0.00 |
| Output price | — not charged | — not charged | — not charged |
| Tool calling | Supported | Supported | Supported |
| JSON mode | Not supported | Not supported | Supported |
| Vision input | Not supported | Not supported | Not supported |
| Open weights | Not supported | Supported | Supported |
| Prompt caching | Not supported | Not supported | Not supported |
Best value in each row is highlighted. Blank cells are facts the supplier does not publish, not zeroes.
Provider information
View Baidu ERNIE →Baidu ERNIE · 文心一言 · Beijing, China · est. 2019 (ERNIE line; parent Baidu founded 2000)
ERNIE predates the modern LLM wave. Baidu has iterated the line since 2019, giving it the longest continuous model lineage in China.
Recent releases
Documentation
Frequently asked questions
Input is billed at R0.00 per 1M tokens, and there is no separate output charge. Every figure on this page is an illustrative placeholder.
No. ERNIE X1 is served through its provider's API only; the weights are not published, so self-hosting is not an option.
Prompt and response share one window: ERNIE X1 accepts up to 128K tokens in total, so a long input leaves less room for the answer. The median across reasoning models is 200K. Recall is strongest well inside the limit. Test at your real prompt depth before relying on the ceiling.
DeepSeek R1 is the closest neighbour in the catalogue, with 164K of context at R0.00 per 1M tokens in. Put both in a comparison before wiring a fallback chain, so the trade-off is a decision rather than a default.