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R1 0528 vs Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite costs 1.5x less per output token than R1 0528 ($1.50 vs $2.18 per million). Updated October 22, 2026; 10 benchmarks have a result for both.

R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
1
Gemini 3.1 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$1.50
9
vs boards won of 10 shared

R1 0528 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 R1 0528 for work measured by Terminal-Bench Hard (Artificial Analysis run) or WeirdML, where it leads.

Shared results
10
R1 0528 only
50
Gemini 3.1 Flash Lite only
6
Like-for-like categories
5 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
R1 0528 not benchmarked, Gemini 3.1 Flash Lite not benchmarked.
Widest category
General, 28.1 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: R1 0528 39.6% against Gemini 3.1 Flash Lite 77.2%, 37.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against Gemini 3.1 Flash Lite $1.50 per million output tokens, 1.5x apart.
Context window
R1 0528 takes 164K 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
CategoryR1 0528BarsGemini 3.1 Flash LiteTies
Coding02
Agentic work11
Reasoning03
Math01
General02
All shared boards19
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
SciCodeNot measured43.4%Only Gemini 3.1 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)15.9%24.2%Gemini 3.1 Flash Lite
WeirdML41.6%52.2%Gemini 3.1 Flash Lite
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding1427Not measuredOnly R1 0528 measured
LMArena Text: software and IT1435Not measuredOnly R1 0528 measured
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
AA Intelligence Index13.1Not measuredOnly R1 0528 measured
Epoch Capabilities IndexNot measured144.3Only Gemini 3.1 Flash Lite measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
τ²-Bench Telecom36.5%31.3%R1 0528
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%37.3%Gemini 3.1 Flash Lite
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
GPQA Diamond (Artificial Analysis run)81.3%82.2%Gemini 3.1 Flash Lite
Humanity's Last Exam (Artificial Analysis run)15.8%17.2%Gemini 3.1 Flash Lite
GPQA Diamond (Epoch AI run)76.3%81.8%Gemini 3.1 Flash Lite
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts1415Not measuredOnly R1 0528 measured
LMArena Text: expert1394Not measuredOnly R1 0528 measured
LMArena Text: hard prompts in English1422Not measuredOnly R1 0528 measured
Kagi LLM BenchmarkNot measured67.2%Only Gemini 3.1 Flash Lite measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%80.0%Gemini 3.1 Flash Lite
FrontierMath, tiers 1 to 3Not measured27.7%Only Gemini 3.1 Flash Lite measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math1400Not measuredOnly R1 0528 measured
LMArena Text: mathematical work1415Not measuredOnly R1 0528 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science1430Not measuredOnly R1 0528 measured
LMArena Text: medicine and healthcare1445Not measuredOnly R1 0528 measured
LMArena Text: legal and government1419Not measuredOnly R1 0528 measured
LMArena Text: business and finance1402Not measuredOnly R1 0528 measured
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 R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
Design Arena: websites1149Not measuredOnly R1 0528 measured
Design Arena: UI components1100Not measuredOnly R1 0528 measured
Design Arena: game dev1097Not measuredOnly R1 0528 measured
Design Arena: data viz1182Not measuredOnly R1 0528 measured
Design Arena: 3D1110Not measuredOnly R1 0528 measured
Design Arena: all code categories1138Not measuredOnly R1 0528 measured
Design Arena: SVG1038Not measuredOnly R1 0528 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 3.1 Flash LiteLeader
IFBench39.6%77.2%Gemini 3.1 Flash Lite
Long context reasoning (AA-LCR)55.7%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
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text1428Not measuredOnly R1 0528 measured
LMArena Text: instruction following1382Not measuredOnly R1 0528 measured
LMArena Text: creative writing1405Not measuredOnly R1 0528 measured
LMArena Text: English1437Not measuredOnly R1 0528 measured
LMArena Text: non-English1412Not measuredOnly R1 0528 measured
LMArena Text: Chinese1442Not measuredOnly R1 0528 measured
LMArena Text: German1404Not measuredOnly R1 0528 measured
LMArena Text: Japanese1391Not measuredOnly R1 0528 measured
LMArena Text: Korean1360Not measuredOnly R1 0528 measured
LMArena Text: French1417Not measuredOnly R1 0528 measured
LMArena Text: Spanish1411Not measuredOnly R1 0528 measured
LMArena Text: Russian1423Not measuredOnly R1 0528 measured
LMArena Text: Polish1428Not measuredOnly R1 0528 measured
LMArena Text: multi-turn1405Not measuredOnly R1 0528 measured
LMArena Text: longer queries1391Not measuredOnly R1 0528 measured
LMArena Text: writing and language1402Not measuredOnly R1 0528 measured
LMArena Text: entertainment and media1400Not measuredOnly R1 0528 measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and Gemini 3.1 Flash Lite
BenchmarkR1 0528Gemini 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

R1 0528$0.0016Fits 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

R1 0528$0.032Fits 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

R1 0528$0.122Exceeds the context window
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 R1 0528 and Gemini 3.1 Flash Lite
SpecificationDeepSeek R1 0528Google Gemini 3.1 Flash Lite
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025May 7, 2026
Context window164K1.05M
Input $/Mtok$0.50$0.25
Output $/Mtok$2.18$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 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 R1 0528 for work measured by Terminal-Bench Hard (Artificial Analysis run) or WeirdML, where it leads.

Which is cheaper, R1 0528 or Gemini 3.1 Flash Lite?

R1 0528 costs $0.50 per million input tokens and $2.18 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, R1 0528 or Gemini 3.1 Flash Lite?

Gemini 3.1 Flash Lite, with 1.05M tokens against 164K.

How many benchmarks is the R1 0528 vs Gemini 3.1 Flash Lite comparison based on?

10 benchmarks have a result for both models as of October 22, 2026. R1 0528'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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