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R1 0528 vs Gemini 2.5 Flash

Updated October 21, 2026. 49 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace R1 0528 Replace Gemini 2.5 Flash
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
26
Gemini 2.5 FlashGoogle
Coding
28.7
Overall
15.5
Output $/M
$2.50
23
vs boards won of 49 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash.

Pick Gemini 2.5 Flash when the context window is larger, 1.05M against 164K tokens, or when what matters is AA Intelligence Index or ARC-AGI, where it leads.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BGemini 2.5 FlashGoogle28.7/1001 independent benchmark$0.466 per solved task
Shared results
49
R1 0528 only
10
Gemini 2.5 Flash only
20
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 71.4 from 1 benchmark, Gemini 2.5 Flash 28.7 from 1 benchmark.
Widest category
Web design, 10.3 points apart on average over 7 shared benchmarks.
Widest single gap
Design Arena: data viz: R1 0528 1182 against Gemini 2.5 Flash 1060, 15.3 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against Gemini 2.5 Flash $2.50 per million output tokens, 1.2x apart.
Context window
R1 0528 takes 164K tokens, Gemini 2.5 Flash 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 2.5 FlashTies
Coding40
Intelligence01
Agentic work10
Reasoning35
Math22
Knowledge23
Web design70
General712
All shared boards2623
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
SWE-bench VerifiedNot measured28.7%Only Gemini 2.5 Flash measured
LiveCodeBench (Artificial Analysis run)77.0%69.5%R1 0528
Terminal-Bench Hard (Artificial Analysis run)15.9%13.6%R1 0528
Terminal-BenchNot measured17.1%Only Gemini 2.5 Flash measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271423R1 0528
LMArena Text: software and IT14351425R1 0528
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
AA Intelligence Index13.115.5Gemini 2.5 Flash
Epoch Capabilities IndexNot measured142.9Only Gemini 2.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
τ²-Bench Telecom36.5%31.6%R1 0528
METR time horizons53.8%Not measuredOnly R1 0528 measured
BALROGNot measured33.5%Only Gemini 2.5 Flash measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Vending-Bench 2Not measured$549Only Gemini 2.5 Flash measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
Reasoning benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
GPQA Diamond (Artificial Analysis run)81.3%79.0%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%12.1%R1 0528
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%33.3%Gemini 2.5 Flash
ARC-AGI-21.1%2.5%Gemini 2.5 Flash
SimpleBench40.8%41.2%Gemini 2.5 Flash
LMArena Text: hard prompts14151422Gemini 2.5 Flash
LMArena Text: expert13941426Gemini 2.5 Flash
LMArena Text: hard prompts in English14221420R1 0528
LMArena Vision: diagramsNot measured1245Only Gemini 2.5 Flash measured
LMArena Vision: homeworkNot measured1244Only Gemini 2.5 Flash measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
AA Math Index76.073.3R1 0528
AIME 2025 (Artificial Analysis run)76.0%73.3%R1 0528
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001411Gemini 2.5 Flash
LMArena Text: mathematical work14151422Gemini 2.5 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
MedCode (Vals AI)Not measured40.4%Only Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)84.9%83.2%R1 0528
LMArena Text: science14301433Gemini 2.5 Flash
LMArena Text: medicine and healthcare14451428R1 0528
LMArena Text: legal and government14191430Gemini 2.5 Flash
LMArena Text: business and finance14021404Gemini 2.5 Flash
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
Design Arena: websites11491074R1 0528
Design Arena: UI components11021005R1 0528
Design Arena: game dev10981005R1 0528
Design Arena: data viz11821060R1 0528
Design Arena: 3D11111021R1 0528
Design Arena: all code categories11391059R1 0528
Design Arena: SVG10381018R1 0528
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index712
General benchmarks for R1 0528 and Gemini 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
SAGE (Vals AI)Not measured44.8%Only Gemini 2.5 Flash measured
MedScribe (Vals AI)Not measured83.0%Only Gemini 2.5 Flash measured
IFBench39.6%50.3%Gemini 2.5 Flash
Long context reasoning (AA-LCR)55.7%65.3%Gemini 2.5 Flash
DTBenchNot measured76.5%Only Gemini 2.5 Flash measured
LMCANot measured27.5%Only Gemini 2.5 Flash measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281417R1 0528
LMArena Text: instruction following13821405Gemini 2.5 Flash
LMArena Text: creative writing14051400R1 0528
LMArena VisionNot measured1235Only Gemini 2.5 Flash measured
LMArena Text: English14371418R1 0528
LMArena Text: non-English14121409R1 0528
LMArena Text: Chinese14421449Gemini 2.5 Flash
LMArena Text: German14041417Gemini 2.5 Flash
LMArena Text: Japanese13911396Gemini 2.5 Flash
LMArena Text: Korean13601385Gemini 2.5 Flash
LMArena Text: French14171432Gemini 2.5 Flash
LMArena Text: Spanish14111422Gemini 2.5 Flash
LMArena Text: Russian14231415R1 0528
LMArena Text: Polish14281413R1 0528
LMArena Text: multi-turn14051408Gemini 2.5 Flash
LMArena Text: longer queries13911419Gemini 2.5 Flash
LMArena Text: writing and language14021405Gemini 2.5 Flash
LMArena Text: entertainment and media14001393R1 0528
LMArena Vision: EnglishNot measured1239Only Gemini 2.5 Flash measured
LMArena Vision: ChineseNot measured1284Only Gemini 2.5 Flash measured
LMArena Vision: reading textNot measured1237Only Gemini 2.5 Flash measured
LMArena Vision: humorNot measured1225Only Gemini 2.5 Flash measured
LMArena Vision: captioningNot measured1277Only Gemini 2.5 Flash measured
LMArena Vision: recognizing thingsNot measured1252Only Gemini 2.5 Flash measured
LMArena Vision: creative writingNot measured1241Only Gemini 2.5 Flash measured
Neither model has a result on the other 13 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 2.5 Flash
BenchmarkR1 0528Gemini 2.5 FlashLeader
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 2.5 Flash$0.0015Fits in one request

Gemini 2.5 Flash costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
Gemini 2.5 Flash$0.022Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
Gemini 2.5 Flash$0.085Fits in one request

Gemini 2.5 Flash 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 2.5 Flash
SpecificationDeepSeek R1 0528Google Gemini 2.5 Flash
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025June 17, 2025
Context window164K1.05M
Input $/Mtok$0.50$0.30
Output $/Mtok$2.15$2.50
Coding index71.428.7
Independent measurements behind it11
Cost per solved taskNot computable$0.466
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Gemini 2.5 Flash for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash. Pick Gemini 2.5 Flash when the context window is larger, 1.05M against 164K tokens, or when what matters is AA Intelligence Index or ARC-AGI, where it leads.

Which is cheaper, R1 0528 or Gemini 2.5 Flash?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; Gemini 2.5 Flash costs $0.30 and $2.50. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, R1 0528 or Gemini 2.5 Flash?

Gemini 2.5 Flash, with 1.05M tokens against 164K.

How many benchmarks is the R1 0528 vs Gemini 2.5 Flash comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and Gemini 2.5 Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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