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Nova Premier 1.0 vs Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite costs 8.3x less per output token than Nova Premier 1.0 ($1.50 vs $12.50 per million). Updated October 21, 2026; 7 benchmarks have a result for both.

Nova Premier 1.0Amazon
Coding
No data
Overall
No data
Output $/M
$12.50
1
Gemini 3.1 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$1.50
6
vs boards won of 7 shared

Nova Premier 1.0 or Gemini 3.1 Flash Lite: which to pick

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

Pick Nova Premier 1.0 for work measured by Terminal-Bench Hard (Artificial Analysis run) or GPQA Diamond (Artificial Analysis run), where it leads.

Shared results
7
Nova Premier 1.0 only
7
Gemini 3.1 Flash Lite only
9
Like-for-like categories
4 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 Premier 1.0 not benchmarked, Gemini 3.1 Flash Lite not benchmarked.
Widest category
General, 40.5 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: Nova Premier 1.0 36.2% against Gemini 3.1 Flash Lite 77.2%, 41.0 points apart on a 0 to 100 scale.
Output price
Nova Premier 1.0 $12.50 against Gemini 3.1 Flash Lite $1.50 per million output tokens, 8.3x apart.
Context window
Nova Premier 1.0 takes 1M tokens, Gemini 3.1 Flash Lite 1.05M.

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 Premier 1.0BarsGemini 3.1 Flash LiteTies
Coding01
Agentic work10
Reasoning03
General02
All shared boards16
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly Nova Premier 1.0 measured
SciCodeNot measured43.4%Only Gemini 3.1 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)6.8%24.2%Gemini 3.1 Flash Lite
WeirdMLNot measured52.2%Only Gemini 3.1 Flash Lite measured
ALE-Bench147.4Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
AA Intelligence Index9.2Not measuredOnly Nova Premier 1.0 measured
Epoch Capabilities IndexNot measured144.3Only Gemini 3.1 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
τ²-Bench Telecom38.3%31.3%Nova Premier 1.0
DeepResearch BenchNot measured37.3%Only Gemini 3.1 Flash Lite measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
GPQA Diamond (Artificial Analysis run)56.9%82.2%Gemini 3.1 Flash Lite
Humanity's Last Exam (Artificial Analysis run)4.2%17.2%Gemini 3.1 Flash Lite
GPQA Diamond (Epoch AI run)Not measured81.8%Only Gemini 3.1 Flash Lite measured
Kagi LLM Benchmark44.8%67.2%Gemini 3.1 Flash Lite
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
AA Math Index17.3Not measuredOnly Nova Premier 1.0 measured
AIME 2025 (Artificial Analysis run)17.3%Not measuredOnly Nova Premier 1.0 measured
OTIS Mock AIMENot measured80.0%Only Gemini 3.1 Flash Lite measured
FrontierMath, tiers 1 to 3Not measured27.7%Only Gemini 3.1 Flash Lite measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
MMLU Pro (Artificial Analysis run)73.3%Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 17 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
Design Arena: websites835Not measuredOnly Nova Premier 1.0 measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
IFBench36.2%77.2%Gemini 3.1 Flash Lite
Long context reasoning (AA-LCR)34.3%74.3%Gemini 3.1 Flash Lite
DTBenchNot measured76.8%Only Gemini 3.1 Flash Lite measured
LMCANot measured35.0%Only Gemini 3.1 Flash Lite measured
Neither model has a result on the other 42 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nova Premier 1.0 and Gemini 3.1 Flash Lite
BenchmarkNova Premier 1.0Gemini 3.1 Flash LiteLeader
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 Premier 1.0$0.0088Fits in one request
Gemini 3.1 Flash Lite$0.0010Fits in one request

Gemini 3.1 Flash Lite costs less

Repository review

50K input + 3K output tokens

Nova Premier 1.0$0.163Fits in one request
Gemini 3.1 Flash Lite$0.017Fits in one request

Gemini 3.1 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Nova Premier 1.0$0.625Fits in one request
Gemini 3.1 Flash Lite$0.065Fits in one request

Gemini 3.1 Flash Lite 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 Premier 1.0 and Gemini 3.1 Flash Lite
SpecificationAmazon Nova Premier 1.0Google Gemini 3.1 Flash Lite
MakerAmazonGoogle
WeightsNo public weights listedNo public weights listed
ReleasedOctober 31, 2025May 7, 2026
Context window1M1.05M
Input $/Mtok$2.50$0.25
Output $/Mtok$12.50$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nova Premier 1.0 better than Gemini 3.1 Flash Lite for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Premier 1.0 for work measured by Terminal-Bench Hard (Artificial Analysis run) or GPQA Diamond (Artificial Analysis run), where it leads.

Which is cheaper, Nova Premier 1.0 or Gemini 3.1 Flash Lite?

Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; Gemini 3.1 Flash Lite costs $0.25 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Nova Premier 1.0 or Gemini 3.1 Flash Lite?

Gemini 3.1 Flash Lite, with 1.05M tokens against 1M.

How many benchmarks is the Nova Premier 1.0 vs Gemini 3.1 Flash Lite comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and Gemini 3.1 Flash Lite's on 0. Where only one model has a result, the page says so instead of naming a winner.

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