ERNIE 5.1 vs DeepSeek R1

At a Glance

Compare
DeepSeek R1DeepSeek
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.70Openrouter · Aug 28, 2026
Output priceFrom · USD / 1M tokensNot reported$2.50Openrouter · Aug 28, 2026
Context windowMaximum documented tokens131K164K
Model facts checkedAug 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

All benchmark results →
BenchmarkERNIE 5.1DeepSeek-R1
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,468.20100% of row best · rating · ernie-5.1; 95% CI [1463.57689002, 1472.81364850]; votes 37058; rank 281,372.6093% of row best · rating · deepseek-r1; 95% CI [1367.75270193, 1377.44238946]; votes 18524; rank 168
Overall ResultCounted from the protocol-matched rows above1 benchmark winNo overall winner0 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

FieldERNIE 5.1DeepSeek-R1
DeveloperBaiduDeepSeek
FamilyErnie 5Deepseek R1
ModelERNIE 5.1DeepSeek-R1
VersionERNIE 5.1DeepSeek-R1
Lifecycleactiveactive
ReleasedUnknown2025-01-20
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K164K
Total parametersUnknown684.5B
Active parametersUnknown37B
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitiesagents, chat, reasoning, search, toolschat, generation, reasoning

ERNIE 5.1 Capabilities

agentschatreasoningsearchtools
Serving providers1
Canonical IDbaidu/ernie-5.1

DeepSeek R1 Capabilities

chatgenerationreasoning
Serving providers2
Canonical IDdeepseek-ai/DeepSeek-R1

Primary Evidence

Sources and Freshness

Questions

ERNIE 5.1 vs DeepSeek R1 FAQs

Is ERNIE 5.1 or DeepSeek R1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and DeepSeek R1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, ERNIE 5.1 or DeepSeek R1?+

ERNIE 5.1 is $4.00 and DeepSeek R1 is $0.70 per million tokens, so DeepSeek R1 is cheaper on this metric. ERNIE 5.1 is $18.00 and DeepSeek R1 is $2.50 per million tokens, so DeepSeek R1 is cheaper on this metric.

Which has a larger context window, ERNIE 5.1 or DeepSeek R1?+

DeepSeek R1 has the larger sourced context window. ERNIE 5.1 supports 131K and DeepSeek R1 supports 164K.

Which performs better in benchmarks, ERNIE 5.1 or DeepSeek R1?+

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 R1 be self-hosted?+

DeepSeek R1 is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; DeepSeek R1 is open weight.

Can ERNIE 5.1 and DeepSeek R1 understand images?+

ERNIE 5.1 is not documented with image input; DeepSeek R1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 5.1 or DeepSeek R1?+

ERNIE 5.1 has the larger sourced maximum output: ERNIE 5.1 supports 66K and DeepSeek R1 supports 33K output tokens.

Do ERNIE 5.1 and DeepSeek R1 support reasoning and tool use?+

ERNIE 5.1: reasoning and tool calling. DeepSeek R1: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 5.1 or DeepSeek R1?+

ERNIE 5.1 has 1 sourced provider route; DeepSeek R1 has 2, so DeepSeek R1 has broader tracked availability.

Which offers better value, ERNIE 5.1 or DeepSeek R1?+

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.

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