PaddleOCR VL 1.5 vs Muse Spark 1.1

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens131K1,000K
Model facts checkedAug 28, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldPaddleOCR-VL-1.5Muse Spark 1.1
DeveloperBaiduMeta
FamilyPaddleocr VL 1 5Muse Spark
ModelPaddleOCR-VL-1.5Muse Spark 1.1
VersionPaddleOCR-VL-1.5Muse Spark 1.1
Lifecycleactivepreview
Released2026-01-292026-07-09
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video, Audio
Output modalitiesTextText
Context window131K1,000K
Total parameters958.6MUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownUnknown
Capabilitieschat, generationchat, computer-use, generation, reasoning, research, structured_outputs, tools

PaddleOCR VL 1.5 Capabilities

chatgeneration
Serving providers0
Canonical IDPaddlePaddle/PaddleOCR-VL-1.5

Muse Spark 1.1 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.1

Primary Evidence

Sources and Freshness

Questions

PaddleOCR VL 1.5 vs Muse Spark 1.1 FAQs

Is PaddleOCR VL 1.5 or Muse Spark 1.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Muse Spark 1.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, PaddleOCR VL 1.5 or Muse Spark 1.1?+

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 Muse Spark 1.1?+

Muse Spark 1.1 has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Muse Spark 1.1 supports 1,000K.

Which performs better in benchmarks, PaddleOCR VL 1.5 or Muse Spark 1.1?+

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 Muse Spark 1.1 be self-hosted?+

PaddleOCR VL 1.5 is the only model in this pair currently marked as self-hostable. PaddleOCR VL 1.5 is open weight; Muse Spark 1.1 is not marked open weight.

Can PaddleOCR VL 1.5 and Muse Spark 1.1 understand images?+

PaddleOCR VL 1.5 is documented with image input; Muse Spark 1.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, PaddleOCR VL 1.5 or Muse Spark 1.1?+

Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Muse Spark 1.1 is —.

Do PaddleOCR VL 1.5 and Muse Spark 1.1 support reasoning and tool use?+

PaddleOCR VL 1.5: image input. Muse Spark 1.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, PaddleOCR VL 1.5 or Muse Spark 1.1?+

PaddleOCR VL 1.5 has 0 sourced provider routes; Muse Spark 1.1 has 0, a tie.

Which offers better value, PaddleOCR VL 1.5 or Muse Spark 1.1?+

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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