ERNIE 5.1 vs DeepSeek-V4-Flash-Vision-Exp

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Baidu · activeERNIE 5.1Verified Aug 29, 2026
DeepSeek · previewDeepSeek-V4-Flash-Vision-ExpVerified Sep 2, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldERNIE 5.1DeepSeek-V4-Flash-Vision-Exp
DeveloperBaiduDeepSeek
FamilyErnie 5Deepseek V4 Flash Vision Exp
ModelERNIE 5.1DeepSeek-V4-Flash-Vision-Exp
VersionERNIE 5.1DeepSeek-V4-Flash-Vision-Exp
Lifecycleactivepreview
ReleasedUnknown2026-08-21
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131,0721,048,576
Total parametersUnknown304,646,824,126
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessBaidu Qianfan (Standard)DeepSeek (Standard)
Capabilitiesagents, chat, reasoning, search, toolschat, generation, reasoning, structured_outputs, tools

13 comparable fields · 11 material differences · Pair passes the primary-source comparison gate

ERNIE 5.1 Capabilities

agentschatreasoningsearchtools
Input price$4.00
Output price$18.00
Serving providers1
Canonical IDbaidu/ernie-5.1

DeepSeek-V4-Flash-Vision-Exp Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.22
Output price$0.66
Serving providers1
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Vision-Exp

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

ERNIE 5.1 vs DeepSeek-V4-Flash-Vision-Exp FAQs

Is ERNIE 5.1 or DeepSeek-V4-Flash-Vision-Exp better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and DeepSeek-V4-Flash-Vision-Exp, 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-Flash-Vision-Exp?+

ERNIE 5.1 is $4.00 and DeepSeek-V4-Flash-Vision-Exp is $0.22 per million tokens, so DeepSeek-V4-Flash-Vision-Exp is cheaper on this metric. ERNIE 5.1 is $18.00 and DeepSeek-V4-Flash-Vision-Exp is $0.66 per million tokens, so DeepSeek-V4-Flash-Vision-Exp is cheaper on this metric.

Which has a larger context window, ERNIE 5.1 or DeepSeek-V4-Flash-Vision-Exp?+

DeepSeek-V4-Flash-Vision-Exp has the larger sourced context window. ERNIE 5.1 supports 131,072 and DeepSeek-V4-Flash-Vision-Exp supports 1,048,576.

Which performs better in benchmarks, ERNIE 5.1 or DeepSeek-V4-Flash-Vision-Exp?+

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-Flash-Vision-Exp be self-hosted?+

DeepSeek-V4-Flash-Vision-Exp is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; DeepSeek-V4-Flash-Vision-Exp is open weight.

Can ERNIE 5.1 and DeepSeek-V4-Flash-Vision-Exp understand images?+

ERNIE 5.1 is not documented with image input; DeepSeek-V4-Flash-Vision-Exp is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, ERNIE 5.1 or DeepSeek-V4-Flash-Vision-Exp?+

DeepSeek-V4-Flash-Vision-Exp has the larger sourced maximum output: ERNIE 5.1 supports 65,536 and DeepSeek-V4-Flash-Vision-Exp supports 393,216 output tokens.

Do ERNIE 5.1 and DeepSeek-V4-Flash-Vision-Exp support reasoning and tool use?+

ERNIE 5.1: reasoning and tool calling. DeepSeek-V4-Flash-Vision-Exp: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, ERNIE 5.1 or DeepSeek-V4-Flash-Vision-Exp?+

ERNIE 5.1 has 1 sourced provider route; DeepSeek-V4-Flash-Vision-Exp has 1, a tie.

Which offers better value, ERNIE 5.1 or DeepSeek-V4-Flash-Vision-Exp?+

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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