Llama 4 Scout 17B 16E vs OCR 4.1

At a Glance

Compare
OCR 4.1Mistral AI
Pricing and Limits
Context windowMaximum documented tokens10,000KNot reported
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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

FieldLlama-4-Scout-17B-16EOCR 4.1
DeveloperMetaMistral AI
FamilyLlama 4 Scout 17b 16eMistral OCR
ModelLlama-4-Scout-17B-16EOCR 4.1
VersionLlama-4-Scout-17B-16EOCR 4.1
Lifecycleactiveactive
Released2025-04-052026-07-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageImage, Document
Output modalitiesTextText
Context window10,000KUnknown
Total parameters108.6BUnknown
Active parameters17BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessTogether Ai (Standard)Mistral AI (Standard)
Capabilitieschat, generation, toolsbounding-box-extraction, document-ai, ocr, structured-annotations

Llama 4 Scout 17B 16E Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-4-Scout-17B-16E

OCR 4.1 Capabilities

bounding-box-extractiondocument-aiocrstructured-annotations
Serving providers1
Canonical IDmistralai/mistral-ocr-4-1

Primary Evidence

Sources and Freshness

Questions

Llama 4 Scout 17B 16E vs OCR 4.1 FAQs

Is Llama 4 Scout 17B 16E or OCR 4.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E and OCR 4.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 4 Scout 17B 16E or OCR 4.1?+

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, Llama 4 Scout 17B 16E or OCR 4.1?+

Neither model has a larger sourced context window in this comparison. Llama 4 Scout 17B 16E is 10,000K and OCR 4.1 is —.

Which performs better in benchmarks, Llama 4 Scout 17B 16E or OCR 4.1?+

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

Can Llama 4 Scout 17B 16E or OCR 4.1 be self-hosted?+

Llama 4 Scout 17B 16E is the only model in this pair currently marked as self-hostable. Llama 4 Scout 17B 16E is open weight; OCR 4.1 is not marked open weight.

Can Llama 4 Scout 17B 16E and OCR 4.1 understand images?+

Llama 4 Scout 17B 16E is documented with image input; OCR 4.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 4 Scout 17B 16E or OCR 4.1?+

Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E is — and OCR 4.1 is —.

Do Llama 4 Scout 17B 16E and OCR 4.1 support reasoning and tool use?+

Llama 4 Scout 17B 16E: tool calling and image input. OCR 4.1: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 4 Scout 17B 16E or OCR 4.1?+

Llama 4 Scout 17B 16E has 1 sourced provider route; OCR 4.1 has 1, a tie.

Which offers better value, Llama 4 Scout 17B 16E or OCR 4.1?+

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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