OCR 4.1 vs NVIDIA Nemotron 3 Super 120B A12B BF16

At a Glance

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OCR 4.1Mistral AI
Pricing and Limits
Context windowMaximum documented tokensNot reported262K
Model facts checkedAug 29, 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

FieldOCR 4.1NVIDIA-Nemotron-3-Super-120B-A12B-BF16
DeveloperMistral AINVIDIA
FamilyMistral OCRNvidia Nemotron 3 Super 120b A12b Bf16
ModelOCR 4.1NVIDIA-Nemotron-3-Super-120B-A12B-BF16
VersionOCR 4.1NVIDIA-Nemotron-3-Super-120B-A12B-BF16
Lifecycleactiveactive
Released2026-07-162026-03-11
Knowledge cutoffUnknownUnknown
Input modalitiesImage, DocumentText
Output modalitiesTextText
Context windowUnknown262K
Total parametersUnknown123.6B
Active parametersUnknown12B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessMistral AI (Standard)Hugging Face (Standard), Together Ai (Standard)
Capabilitiesbounding-box-extraction, document-ai, ocr, structured-annotationschat, generation, reasoning, tools

OCR 4.1 Capabilities

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

NVIDIA Nemotron 3 Super 120B A12B BF16 Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDnvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16

Primary Evidence

Sources and Freshness

Questions

OCR 4.1 vs NVIDIA Nemotron 3 Super 120B A12B BF16 FAQs

Is OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both OCR 4.1 and NVIDIA Nemotron 3 Super 120B A12B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16?+

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, OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16?+

Neither model has a larger sourced context window in this comparison. OCR 4.1 is — and NVIDIA Nemotron 3 Super 120B A12B BF16 is 262K.

Which performs better in benchmarks, OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16?+

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

Can OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16 be self-hosted?+

NVIDIA Nemotron 3 Super 120B A12B BF16 is the only model in this pair currently marked as self-hostable. OCR 4.1 is not marked open weight; NVIDIA Nemotron 3 Super 120B A12B BF16 is open weight.

Can OCR 4.1 and NVIDIA Nemotron 3 Super 120B A12B BF16 understand images?+

OCR 4.1 is documented with image input; NVIDIA Nemotron 3 Super 120B A12B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16?+

Neither has a larger sourced maximum output. OCR 4.1 is — and NVIDIA Nemotron 3 Super 120B A12B BF16 is —.

Do OCR 4.1 and NVIDIA Nemotron 3 Super 120B A12B BF16 support reasoning and tool use?+

OCR 4.1: image input. NVIDIA Nemotron 3 Super 120B A12B BF16: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16?+

OCR 4.1 has 1 sourced provider route; NVIDIA Nemotron 3 Super 120B A12B BF16 has 2, so NVIDIA Nemotron 3 Super 120B A12B BF16 has broader tracked availability.

Which offers better value, OCR 4.1 or NVIDIA Nemotron 3 Super 120B A12B BF16?+

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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