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Nova 2 Lite vs DeepSeek V3.1 Terminus

DeepSeek V3.1 Terminus leads Nova 2 Lite on the Artificial Analysis Intelligence Index, 14.8 to 13.4, and DeepSeek V3.1 Terminus costs 2.5x less per output token ($1.0142 vs $2.50 per million). Updated October 22, 2026; 23 benchmarks have a result for both.

Replace Nova 2 Lite Replace DeepSeek V3.1 Terminus
Nova 2 LiteAmazon
Coding
No data
Overall
No data
Output $/M
$2.50
0
DeepSeek V3.1 TerminusDeepSeek
Coding
No data
Overall
No data
Output $/M
$1.0142
23
vs boards won of 23 shared

Nova 2 Lite or DeepSeek V3.1 Terminus: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Nova 2 Lite for a larger context window (1M against 164K tokens) and work measured by AA Coding Index or ALE-Bench, where it leads.

Model ANova 2 LiteAmazonNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V3.1 TerminusDeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
23
Nova 2 Lite only
8
DeepSeek V3.1 Terminus only
22
Like-for-like categories
6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Nova 2 Lite not benchmarked, DeepSeek V3.1 Terminus not benchmarked.
Widest category
General, 13.3 points apart on average over 11 shared benchmarks.
Widest single gap
AA Coding Index: Nova 2 Lite 23.0 against DeepSeek V3.1 Terminus 43.5, 20.5 points apart on a 0 to 100 scale.
Output price
Nova 2 Lite $2.50 against DeepSeek V3.1 Terminus $1.0142 per million output tokens, 2.5x apart.
Context window
Nova 2 Lite takes 1M tokens, DeepSeek V3.1 Terminus 164K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryNova 2 LiteBarsDeepSeek V3.1 TerminusTies
Coding04
Intelligence01
Reasoning02
Math01
Knowledge04
General011
All shared boards023
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
AA Coding Index23.043.5DeepSeek V3.1 Terminus
LiveCodeBench (Artificial Analysis run)Not measured79.8%Only DeepSeek V3.1 Terminus measured
SciCodeNot measured38.0%Only DeepSeek V3.1 Terminus measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.8%Only DeepSeek V3.1 Terminus measured
ALE-Bench236.3745.2DeepSeek V3.1 Terminus
LMArena Text: coding13851425DeepSeek V3.1 Terminus
LMArena Text: software and IT13941426DeepSeek V3.1 Terminus
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
AA Intelligence Index13.414.8DeepSeek V3.1 Terminus
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
AA Agentic IndexNot measured6.8Only DeepSeek V3.1 Terminus measured
τ²-Bench TelecomNot measured37.1%Only DeepSeek V3.1 Terminus measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
GPQA Diamond (Artificial Analysis run)Not measured79.2%Only DeepSeek V3.1 Terminus measured
Humanity's Last Exam (Artificial Analysis run)Not measured16.4%Only DeepSeek V3.1 Terminus measured
LMArena Text: hard prompts13641426DeepSeek V3.1 Terminus
LMArena Text: expert1359Not measuredOnly Nova 2 Lite measured
LMArena Text: hard prompts in English13851432DeepSeek V3.1 Terminus
Kagi LLM BenchmarkNot measured57.4%Only DeepSeek V3.1 Terminus measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
AA Math IndexNot measured89.7Only DeepSeek V3.1 Terminus measured
AIME 2025 (Artificial Analysis run)Not measured89.7%Only DeepSeek V3.1 Terminus measured
LMArena Text: math13591402DeepSeek V3.1 Terminus
LMArena Text: mathematical work1369Not measuredOnly Nova 2 Lite measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
MMLU Pro (Artificial Analysis run)Not measured85.1%Only DeepSeek V3.1 Terminus measured
LMArena Text: science13821451DeepSeek V3.1 Terminus
LMArena Text: medicine and healthcare13861468DeepSeek V3.1 Terminus
LMArena Text: legal and government13591457DeepSeek V3.1 Terminus
LMArena Text: business and finance13691414DeepSeek V3.1 Terminus
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
Design Arena: websitesNot measured1187Only DeepSeek V3.1 Terminus measured
Design Arena: UI componentsNot measured1182Only DeepSeek V3.1 Terminus measured
Design Arena: game devNot measured1131Only DeepSeek V3.1 Terminus measured
Design Arena: data vizNot measured1168Only DeepSeek V3.1 Terminus measured
Design Arena: 3DNot measured1141Only DeepSeek V3.1 Terminus measured
Design Arena: all code categoriesNot measured1175Only DeepSeek V3.1 Terminus measured
Design Arena: SVGNot measured1065Only DeepSeek V3.1 Terminus measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index011
General benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
IFBenchNot measured57.0%Only DeepSeek V3.1 Terminus measured
Long context reasoning (AA-LCR)Not measured69.3%Only DeepSeek V3.1 Terminus measured
DTBenchNot measured81.3%Only DeepSeek V3.1 Terminus measured
LMCANot measured28.6%Only DeepSeek V3.1 Terminus measured
LMArena Text13621419DeepSeek V3.1 Terminus
LMArena Text: instruction following13351404DeepSeek V3.1 Terminus
LMArena Text: creative writing12921403DeepSeek V3.1 Terminus
LMArena Text: English13851429DeepSeek V3.1 Terminus
LMArena Text: non-English13371408DeepSeek V3.1 Terminus
LMArena Text: Chinese1364Not measuredOnly Nova 2 Lite measured
LMArena Text: German1343Not measuredOnly Nova 2 Lite measured
LMArena Text: Japanese1273Not measuredOnly Nova 2 Lite measured
LMArena Text: Korean1281Not measuredOnly Nova 2 Lite measured
LMArena Text: French1381Not measuredOnly Nova 2 Lite measured
LMArena Text: Spanish1375Not measuredOnly Nova 2 Lite measured
LMArena Text: Russian13421435DeepSeek V3.1 Terminus
LMArena Text: Polish13271427DeepSeek V3.1 Terminus
LMArena Text: multi-turn13381411DeepSeek V3.1 Terminus
LMArena Text: longer queries13351422DeepSeek V3.1 Terminus
LMArena Text: writing and language13181409DeepSeek V3.1 Terminus
LMArena Text: entertainment and media13091391DeepSeek V3.1 Terminus
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova 2 Lite and DeepSeek V3.1 Terminus
BenchmarkNova 2 LiteDeepSeek V3.1 TerminusLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Nova 2 Lite$0.0015Fits in one request
DeepSeek V3.1 Terminus$0.0008Fits in one request

DeepSeek V3.1 Terminus costs less

Repository review

50K input + 3K output tokens

Nova 2 Lite$0.022Fits in one request
DeepSeek V3.1 Terminus$0.018Fits in one request

DeepSeek V3.1 Terminus costs less

Agent loop

200K input + 10K output tokens

Nova 2 Lite$0.085Fits in one request
DeepSeek V3.1 Terminus$0.071Exceeds the context window

DeepSeek V3.1 Terminus costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Nova 2 Lite and DeepSeek V3.1 Terminus
SpecificationAmazon Nova 2 LiteDeepSeek V3.1 Terminus
MakerAmazonDeepSeek
WeightsNo public weights listedOpen weights
ReleasedDecember 2, 2025September 22, 2025
Context window1M164K
Input $/Mtok$0.30$0.3063
Output $/Mtok$2.50$1.0142
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova 2 Lite better than DeepSeek V3.1 Terminus for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova 2 Lite for a larger context window (1M against 164K tokens) and work measured by AA Coding Index or ALE-Bench, where it leads.

Which is cheaper, Nova 2 Lite or DeepSeek V3.1 Terminus?

Nova 2 Lite costs $0.30 per million input tokens and $2.50 per million output tokens; DeepSeek V3.1 Terminus costs $0.3063 and $1.0142. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova 2 Lite or DeepSeek V3.1 Terminus?

Nova 2 Lite, with 1M tokens against 164K.

How many benchmarks is the Nova 2 Lite vs DeepSeek V3.1 Terminus comparison based on?

23 benchmarks have a result for both models as of October 22, 2026. Nova 2 Lite's coding index rests on 0 independent benchmarks and DeepSeek V3.1 Terminus's on 0. Where only one model has a result, the page says so instead of naming a winner.

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