Nova 2 Lite vs Pixtral Large

At a Glance

Compare
Pixtral LargeMistral AI
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#43 of 570.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.0–66.7UnrankedNot in the 57-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Amazon Bedrock ↗ · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$2.50Amazon Bedrock ↗ · Aug 29, 2026Not reported
Context windowMaximum documented tokens1,000K131K
Model facts checkedAug 29, 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

FieldNova 2 LitePixtral Large
DeveloperAmazonMistral AI
FamilyNova 2Pixtral Large
ModelNova 2 LitePixtral Large
VersionNova 2 LitePixtral Large
Lifecycleactivedeprecated
Released2025-12-022024-11-18
Knowledge cutoff2025-10-01Unknown
Input modalitiesText, Image, Video, DocumentText, Image, Document
Output modalitiesTextText
Context window1,000K131K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesNo
Self-hostableNoNo
Provider accessAmazon Bedrock (Standard)Unknown
Capabilitieschat, generation, prompt-caching, tools, visionchat, generation, structured_outputs, tools, vision

Nova 2 Lite Capabilities

chatgenerationprompt-cachingtoolsvision
Serving providers1
Canonical IDamazon/nova-2-lite-v1:0

Pixtral Large Capabilities

chatgenerationstructured outputstoolsvision
Serving providers0
Canonical IDmistralai/pixtral-large-2411

Primary Evidence

Sources and Freshness

Questions

Nova 2 Lite vs Pixtral Large FAQs

Is Nova 2 Lite or Pixtral Large better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and Pixtral Large, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Nova 2 Lite or Pixtral Large?+

Only Nova 2 Lite has a directly sourced input price: $0.30 per million tokens. Only Nova 2 Lite has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, Nova 2 Lite or Pixtral Large?+

Nova 2 Lite has the larger sourced context window. Nova 2 Lite supports 1,000,000 tokens and Pixtral Large supports 131,072 tokens.

Which performs better in benchmarks, Nova 2 Lite or Pixtral Large?+

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

Can Nova 2 Lite or Pixtral Large be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Nova 2 Lite is not marked open weight; Pixtral Large is not marked open weight.

Can Nova 2 Lite and Pixtral Large understand images?+

Nova 2 Lite is documented with image input; Pixtral Large is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Nova 2 Lite or Pixtral Large?+

Nova 2 Lite has a sourced maximum output of 65,536 tokens; Pixtral Large's maximum output is not reported. A larger limit cannot be determined.

Do Nova 2 Lite and Pixtral Large support reasoning and tool use?+

Nova 2 Lite: tool calling and image input. Pixtral Large: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Nova 2 Lite or Pixtral Large?+

Nova 2 Lite has 1 sourced provider route; Pixtral Large has 0, so Nova 2 Lite has broader tracked availability.

Which offers better value, Nova 2 Lite or Pixtral Large?+

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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