Nova 2 Lite vs DeepSeek V3.2

Benchmark Performance

Available Benchmarks

BenchmarkNova 2 LiteDeepSeek-V3.2
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,362.5296% of row best · rating · nova-2-lite; 95% CI [1356.44886287, 1368.59662424]; votes 12117; rank 1781,424.83100% of row best · rating · deepseek-v3.2; 95% CI [1421.30044809, 1428.36162643]; votes 46487; rank 91
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Amazon · activeNova 2 LiteVerified Aug 29, 2026
DeepSeek · activeDeepSeek V3.2Verified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldNova 2 LiteDeepSeek-V3.2
DeveloperAmazonDeepSeek
FamilyNova 2Deepseek V3 2
ModelNova 2 LiteDeepSeek-V3.2
VersionNova 2 LiteDeepSeek-V3.2
Lifecycleactiveactive
Released2025-12-022025-12-01
Knowledge cutoff2025-10-01Unknown
Input modalitiesText, Image, Video, DocumentText
Output modalitiesTextText
Context window1,000K164K
Total parametersUnknown685.4B
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAmazon Bedrock (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, prompt-caching, tools, visionchat, generation, reasoning

14 comparable fields · 11 material differences · Pair passes the primary-source comparison gate

Nova 2 Lite Capabilities

chatgenerationprompt-cachingtoolsvision
Input price$0.30
Output price$2.50
Serving providers1
Canonical IDamazon/nova-2-lite-v1:0

DeepSeek V3.2 Capabilities

chatgenerationreasoning
Input price$0.26
Output price$0.38
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V3.2

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Nova 2 Lite vs DeepSeek V3.2 FAQs

Is Nova 2 Lite or DeepSeek V3.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and DeepSeek V3.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Nova 2 Lite or DeepSeek V3.2?+

Nova 2 Lite is $0.30 and DeepSeek V3.2 is $0.26 per million tokens, so DeepSeek V3.2 is cheaper on this metric. Nova 2 Lite is $2.50 and DeepSeek V3.2 is $0.38 per million tokens, so DeepSeek V3.2 is cheaper on this metric.

Which has a larger context window, Nova 2 Lite or DeepSeek V3.2?+

Nova 2 Lite has the larger sourced context window. Nova 2 Lite supports 1,000K and DeepSeek V3.2 supports 164K.

Which performs better in benchmarks, Nova 2 Lite or DeepSeek V3.2?+

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 DeepSeek V3.2 be self-hosted?+

DeepSeek V3.2 is the only model in this pair currently marked as self-hostable. Nova 2 Lite is not marked open weight; DeepSeek V3.2 is open weight.

Can Nova 2 Lite and DeepSeek V3.2 understand images?+

Nova 2 Lite is documented with image input; DeepSeek V3.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Nova 2 Lite or DeepSeek V3.2?+

Neither has a larger sourced maximum output. Nova 2 Lite is 66K and DeepSeek V3.2 is —.

Do Nova 2 Lite and DeepSeek V3.2 support reasoning and tool use?+

Nova 2 Lite: tool calling and image input. DeepSeek V3.2: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Nova 2 Lite or DeepSeek V3.2?+

Nova 2 Lite has 1 sourced provider route; DeepSeek V3.2 has 3, so DeepSeek V3.2 has broader tracked availability.

Which offers better value, Nova 2 Lite or DeepSeek V3.2?+

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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