ERNIE 5.1 vs DeepSeek V4 Pro 0813
At a Glance
| Compare |  ERNIE 5.1Baidu |  DeepSeek V4 Pro 0813DeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #20 of 4665.0 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #20 of 44$0.094 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #14 of 3857.4 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.30Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.60Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 131K | 1,049K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 3, 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
| Benchmark | ERNIE 5.1 | DeepSeek-V4-Pro-0813 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,468.20100% of row best · rating · ernie-5.1; 95% CI [1463.57689002, 1472.81364850]; votes 37058; rank 28 | 1,443.9598% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | ERNIE 5.1 | DeepSeek-V4-Pro-0813 |
|---|---|---|
| Developer | Baidu | DeepSeek |
| Family | Ernie 5 | Deepseek V4 Pro |
| Model | ERNIE 5.1 | DeepSeek-V4-Pro-0813 |
| Version | ERNIE 5.1 | DeepSeek-V4-Pro-0813 |
| Lifecycle | active | active |
| Released | Unknown | 2026-08-13 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | Unknown | 1.6T |
| Active parameters | Unknown | 49B |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Baidu Qianfan (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, reasoning, search, tools | agents, chat, coding, generation, reasoning, tools |
ERNIE 5.1 Capabilities
DeepSeek V4 Pro 0813 Capabilities
Related Comparisons
All text 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-V4.1-FlashDeepSeek | 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 V4 Pro 0813 FAQs
Is ERNIE 5.1 or DeepSeek V4 Pro 0813 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and DeepSeek V4 Pro 0813, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, ERNIE 5.1 or DeepSeek V4 Pro 0813?+
ERNIE 5.1 is $4.00 and DeepSeek V4 Pro 0813 is $1.30 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric. ERNIE 5.1 is $18.00 and DeepSeek V4 Pro 0813 is $2.60 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric.
Which has a larger context window, ERNIE 5.1 or DeepSeek V4 Pro 0813?+
DeepSeek V4 Pro 0813 has the larger sourced context window. ERNIE 5.1 supports 131K and DeepSeek V4 Pro 0813 supports 1,049K.
Which performs better in benchmarks, ERNIE 5.1 or DeepSeek V4 Pro 0813?+
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 V4 Pro 0813 be self-hosted?+
DeepSeek V4 Pro 0813 is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; DeepSeek V4 Pro 0813 is open weight.
Can ERNIE 5.1 and DeepSeek V4 Pro 0813 understand images?+
ERNIE 5.1 is not documented with image input; DeepSeek V4 Pro 0813 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, ERNIE 5.1 or DeepSeek V4 Pro 0813?+
Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and DeepSeek V4 Pro 0813 is —.
Do ERNIE 5.1 and DeepSeek V4 Pro 0813 support reasoning and tool use?+
ERNIE 5.1: reasoning and tool calling. DeepSeek V4 Pro 0813: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, ERNIE 5.1 or DeepSeek V4 Pro 0813?+
ERNIE 5.1 has 1 sourced provider route; DeepSeek V4 Pro 0813 has 3, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, ERNIE 5.1 or DeepSeek V4 Pro 0813?+
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.