PaddleOCR VL 1.5 vs Mistral Medium 3.5 128B

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens131K262K
Model facts checkedAug 28, 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 →
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-1.5Mistral-Medium-3.5-128B
DeveloperBaiduMistral AI
FamilyPaddleocr VL 1 5Mistral Medium 3 5 128b
ModelPaddleOCR-VL-1.5Mistral-Medium-3.5-128B
VersionPaddleOCR-VL-1.5Mistral-Medium-3.5-128B
Lifecycleactiveactive
Released2026-01-29Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window131K262K
Total parameters958.6M127.7B
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableUnknownUnknown
Self-hostableYesYes
Provider accessUnknownUnknown
Capabilitieschat, generationchat, generation, reasoning, tools

PaddleOCR VL 1.5 Capabilities

chatgeneration
Serving providers0
Canonical IDPaddlePaddle/PaddleOCR-VL-1.5

Mistral Medium 3.5 128B Capabilities

chatgenerationreasoningtools
Serving providers0
Canonical IDmistralai/Mistral-Medium-3.5-128B

Primary Evidence

Sources and Freshness

Questions

PaddleOCR VL 1.5 vs Mistral Medium 3.5 128B FAQs

Is PaddleOCR VL 1.5 or Mistral Medium 3.5 128B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both PaddleOCR VL 1.5 and Mistral Medium 3.5 128B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, PaddleOCR VL 1.5 or Mistral Medium 3.5 128B?+

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 Mistral Medium 3.5 128B?+

Mistral Medium 3.5 128B has the larger sourced context window. PaddleOCR VL 1.5 supports 131K and Mistral Medium 3.5 128B supports 262K.

Which performs better in benchmarks, PaddleOCR VL 1.5 or Mistral Medium 3.5 128B?+

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 Mistral Medium 3.5 128B be self-hosted?+

Both models have the same recorded self-hosting status: supported. PaddleOCR VL 1.5 is open weight; Mistral Medium 3.5 128B is open weight.

Can PaddleOCR VL 1.5 and Mistral Medium 3.5 128B understand images?+

PaddleOCR VL 1.5 is documented with image input; Mistral Medium 3.5 128B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, PaddleOCR VL 1.5 or Mistral Medium 3.5 128B?+

Neither has a larger sourced maximum output. PaddleOCR VL 1.5 is — and Mistral Medium 3.5 128B is —.

Do PaddleOCR VL 1.5 and Mistral Medium 3.5 128B support reasoning and tool use?+

PaddleOCR VL 1.5: image input. Mistral Medium 3.5 128B: 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 Mistral Medium 3.5 128B?+

PaddleOCR VL 1.5 has 0 sourced provider routes; Mistral Medium 3.5 128B has 0, a tie.

Which offers better value, PaddleOCR VL 1.5 or Mistral Medium 3.5 128B?+

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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