ERNIE 5.1 vs DeepSeek V3.2
Benchmark Performance
Available Benchmarks
| Benchmark | ERNIE 5.1 | DeepSeek-V3.2 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,468.10100% of row best · rating · ernie-5.1; 95% CI [1463.48233336, 1472.72453179]; votes 37137; rank 25 | 1,424.8397% of row best · rating · deepseek-v3.2; 95% CI [1421.30044809, 1428.36162643]; votes 46487; rank 91 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | ERNIE 5.1 | DeepSeek-V3.2 |
|---|---|---|
| Developer | Baidu | DeepSeek |
| Family | Ernie 5 | Deepseek V3 2 |
| Model | ERNIE 5.1 | DeepSeek-V3.2 |
| Version | ERNIE 5.1 | DeepSeek-V3.2 |
| Lifecycle | active | active |
| Released | Unknown | 2025-12-01 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 164K |
| Total parameters | Unknown | 685.4B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Baidu Qianfan (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, reasoning, search, tools | chat, generation, reasoning |
13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
ERNIE 5.1 Capabilities
DeepSeek V3.2 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
ERNIE 5.1Baidu | vs | GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | ERNIE 5.1Baidu | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
ERNIE 5.1Baidu | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Grok 4.6xAI | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
MiniMax-M3MiniMax | vs | ERNIE 5.1Baidu | cross-developer peerstext |
ERNIE 5.1Baidu | vs | GLM-5.3Z.ai | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Hy4 previewTencent | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
ERNIE 5.1Baidu | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
ERNIE 5.1 vs DeepSeek V3.2 FAQs
Is ERNIE 5.1 or DeepSeek V3.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and DeepSeek V3.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE 5.1 or DeepSeek V3.2?+
ERNIE 5.1 is $4.00 and DeepSeek V3.2 is $0.26 per million tokens, so DeepSeek V3.2 is cheaper on this metric. ERNIE 5.1 is $18.00 and DeepSeek V3.2 is $0.38 per million tokens, so DeepSeek V3.2 is cheaper on this metric.
Which has a larger context window, ERNIE 5.1 or DeepSeek V3.2?+
DeepSeek V3.2 has the larger sourced context window. ERNIE 5.1 supports 131K and DeepSeek V3.2 supports 164K.
Which performs better in benchmarks, ERNIE 5.1 or DeepSeek V3.2?+
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 DeepSeek V3.2 be self-hosted?+
DeepSeek V3.2 is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; DeepSeek V3.2 is open weight.
Can ERNIE 5.1 and DeepSeek V3.2 understand images?+
ERNIE 5.1 is not documented with image input; DeepSeek V3.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE 5.1 or DeepSeek V3.2?+
Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and DeepSeek V3.2 is —.
Do ERNIE 5.1 and DeepSeek V3.2 support reasoning and tool use?+
ERNIE 5.1: reasoning and tool calling. DeepSeek V3.2: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 5.1 or DeepSeek V3.2?+
ERNIE 5.1 has 1 sourced provider route; DeepSeek V3.2 has 3, so DeepSeek V3.2 has broader tracked availability.
Which offers better value, ERNIE 5.1 or DeepSeek V3.2?+
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.