ERNIE X1.1 vs Ministral 3 14B Instruct 2512
At a Glance
| Compare | ERNIE X1.1Baidu | Ministral 3 14B Instruct 2512Mistral AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.20Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.20Openrouter ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 66K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | ERNIE X1.1 | Ministral-3-14B-Instruct-2512 |
|---|---|---|
| Developer | Baidu | Mistral AI |
| Family | Ernie X1 | Ministral 3 14b Instruct 2512 |
| Model | ERNIE X1.1 | Ministral-3-14B-Instruct-2512 |
| Version | ERNIE X1.1 | Ministral-3-14B-Instruct-2512 |
| Lifecycle | active | active |
| Released | 2025-09-26 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 66K | 262K |
| Total parameters | Unknown | 13.9B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Baidu Qianfan (Standard) | Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, reasoning, search, tools | chat, generation, tools |
ERNIE X1.1 Capabilities
Ministral 3 14B Instruct 2512 Capabilities
Primary Evidence
Sources and Freshness
Questions
ERNIE X1.1 vs Ministral 3 14B Instruct 2512 FAQs
Is ERNIE X1.1 or Ministral 3 14B Instruct 2512 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and Ministral 3 14B Instruct 2512, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE X1.1 or Ministral 3 14B Instruct 2512?+
ERNIE X1.1 is $1.00 and Ministral 3 14B Instruct 2512 is $0.20 per million tokens, so Ministral 3 14B Instruct 2512 is cheaper on this metric. ERNIE X1.1 is $4.00 and Ministral 3 14B Instruct 2512 is $0.20 per million tokens, so Ministral 3 14B Instruct 2512 is cheaper on this metric.
Which has a larger context window, ERNIE X1.1 or Ministral 3 14B Instruct 2512?+
Ministral 3 14B Instruct 2512 has the larger sourced context window. ERNIE X1.1 supports 66K and Ministral 3 14B Instruct 2512 supports 262K.
Which performs better in benchmarks, ERNIE X1.1 or Ministral 3 14B Instruct 2512?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can ERNIE X1.1 or Ministral 3 14B Instruct 2512 be self-hosted?+
Ministral 3 14B Instruct 2512 is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; Ministral 3 14B Instruct 2512 is open weight.
Can ERNIE X1.1 and Ministral 3 14B Instruct 2512 understand images?+
ERNIE X1.1 is not documented with image input; Ministral 3 14B Instruct 2512 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE X1.1 or Ministral 3 14B Instruct 2512?+
Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and Ministral 3 14B Instruct 2512 is —.
Do ERNIE X1.1 and Ministral 3 14B Instruct 2512 support reasoning and tool use?+
ERNIE X1.1: reasoning and tool calling. Ministral 3 14B Instruct 2512: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE X1.1 or Ministral 3 14B Instruct 2512?+
ERNIE X1.1 has 1 sourced provider route; Ministral 3 14B Instruct 2512 has 2, so Ministral 3 14B Instruct 2512 has broader tracked availability.
Which offers better value, ERNIE X1.1 or Ministral 3 14B Instruct 2512?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.