ERNIE 5.1 vs Sonar Deep Research
At a Glance
| Compare | ERNIE 5.1Baidu | Sonar Deep ResearchPerplexity |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #12 of 5773.5 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 24.5–91.2 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $2.00Openrouter ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $8.00Openrouter ↗ · Oct 19, 2026 |
| Context windowMaximum documented tokens | 131K | 128K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 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 5.1 | Sonar Deep Research |
|---|---|---|
| Developer | Baidu | Perplexity |
| Family | Ernie 5 | Sonar |
| Model | ERNIE 5.1 | Sonar Deep Research |
| Version | ERNIE 5.1 | Sonar Deep Research |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 128K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Baidu Qianfan (Standard) | Openrouter (Standard), Perplexity (Standard) |
| Capabilities | agents, chat, reasoning, search, tools | chat, citations, reasoning, research, search |
ERNIE 5.1 Capabilities
Sonar Deep Research Capabilities
Primary Evidence
Sources and Freshness
Questions
ERNIE 5.1 vs Sonar Deep Research FAQs
Is ERNIE 5.1 or Sonar Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE 5.1 or Sonar Deep Research?+
ERNIE 5.1 is $4.00 and Sonar Deep Research is $2.00 per million tokens, so Sonar Deep Research is cheaper on this metric. ERNIE 5.1 is $18.00 and Sonar Deep Research is $8.00 per million tokens, so Sonar Deep Research is cheaper on this metric.
Which has a larger context window, ERNIE 5.1 or Sonar Deep Research?+
ERNIE 5.1 has the larger sourced context window. ERNIE 5.1 supports 131,072 tokens and Sonar Deep Research supports 128,000 tokens.
Which performs better in benchmarks, ERNIE 5.1 or Sonar Deep Research?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can ERNIE 5.1 or Sonar Deep Research be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. ERNIE 5.1 is not marked open weight; Sonar Deep Research is not marked open weight.
Can ERNIE 5.1 and Sonar Deep Research understand images?+
ERNIE 5.1 is not documented with image input; Sonar Deep Research is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE 5.1 or Sonar Deep Research?+
ERNIE 5.1 has a sourced maximum output of 65,536 tokens; Sonar Deep Research's maximum output is not reported. A larger limit cannot be determined.
Do ERNIE 5.1 and Sonar Deep Research support reasoning and tool use?+
ERNIE 5.1: reasoning and tool calling. Sonar Deep Research: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 5.1 or Sonar Deep Research?+
ERNIE 5.1 has 1 sourced provider route; Sonar Deep Research has 2, so Sonar Deep Research has broader tracked availability.
Which offers better value, ERNIE 5.1 or Sonar Deep Research?+
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.