PaddleOCR-VL-1.5 vs Phi-4-multimodal-instruct

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 · activePaddleOCR-VL-1.5Verified Aug 28, 2026
Microsoft · activePhi-4-multimodal-instructVerified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldPaddleOCR-VL-1.5Phi-4-multimodal-instruct
DeveloperBaiduMicrosoft
FamilyPaddleocr VL 1 5Phi 4 Multimodal Instruct
ModelPaddleOCR-VL-1.5Phi-4-multimodal-instruct
VersionPaddleOCR-VL-1.5Phi-4-multimodal-instruct
Lifecycleactiveactive
Released2026-01-292025-02-26
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Audio
Output modalitiesTextText
Context window131,072131,072
Total parameters958,588,7365,574,460,384
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableUnknownUnknown
Self-hostableYesYes
Provider accessUnknownUnknown
Capabilitieschat, generationchat, generation

14 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

PaddleOCR-VL-1.5 Capabilities

chatgeneration
Input price
Output price
Serving providers0
Canonical IDPaddlePaddle/PaddleOCR-VL-1.5

Phi-4-multimodal-instruct Capabilities

chatgeneration
Input price
Output price
Serving providers0
Canonical IDmicrosoft/Phi-4-multimodal-instruct

Internal Comparison Graph

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Primary Evidence

Sources and Freshness

Questions

PaddleOCR-VL-1.5 vs Phi-4-multimodal-instruct FAQs

Is PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR-VL-1.5 and Phi-4-multimodal-instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct?+

Neither model has a larger sourced context window in this comparison. PaddleOCR-VL-1.5 is 131,072 and Phi-4-multimodal-instruct is 131,072.

Which performs better in benchmarks, PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. PaddleOCR-VL-1.5 is open weight; Phi-4-multimodal-instruct is open weight.

Can PaddleOCR-VL-1.5 and Phi-4-multimodal-instruct understand images?+

PaddleOCR-VL-1.5 is documented with image input; Phi-4-multimodal-instruct is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct?+

Neither has a larger sourced maximum output. PaddleOCR-VL-1.5 is — and Phi-4-multimodal-instruct is —.

Do PaddleOCR-VL-1.5 and Phi-4-multimodal-instruct support reasoning and tool use?+

PaddleOCR-VL-1.5: image input. Phi-4-multimodal-instruct: image input. Feature support does not establish relative quality.

Which is available from more inference providers, PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct?+

PaddleOCR-VL-1.5 has 0 sourced provider routes; Phi-4-multimodal-instruct has 0, a tie.

Which offers better value, PaddleOCR-VL-1.5 or Phi-4-multimodal-instruct?+

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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