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R1 0528 vs Gemini 2.5 Pro Preview 06-05

Updated October 21, 2026. 10 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
0
Gemini 2.5 Pro Preview 06-05Google
Coding
83.1
Overall
No data
Output $/M
$10.00
10
vs boards won of 10 shared

Decision reading

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 71.4 for R1 0528.

Pick R1 0528 when output tokens cost 4.7x less.

Shared results
10
R1 0528 only
49
Gemini 2.5 Pro Preview 06-05 only
4
Like-for-like categories
5 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 Pro Preview 06-05 83.1 from 1 benchmark.
Widest category
General, 16.7 points apart on average over 1 shared benchmark.
Widest single gap
SimpleBench: R1 0528 40.8% against Gemini 2.5 Pro Preview 06-05 62.4%, 21.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against Gemini 2.5 Pro Preview 06-05 $10.00 per million output tokens, 4.7x apart.
Context window
R1 0528 takes 164K tokens, Gemini 2.5 Pro Preview 06-05 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 Pro Preview 06-05Ties
Coding02
Agentic work02
Reasoning04
Knowledge01
General01
All shared boards010
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for R1 0528 and Gemini 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
Aider polyglot71.4%83.1%Gemini 2.5 Pro Preview 06-05
LiveCodeBench (Vals AI)Not measured79.2%Only Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)77.0%77.8%Gemini 2.5 Pro Preview 06-05
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly R1 0528 measured
GSO-BenchNot measured3.9%Only Gemini 2.5 Pro Preview 06-05 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
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 29 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for R1 0528 and Gemini 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
AA Intelligence Index13.1Not measuredOnly R1 0528 measured
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for R1 0528 and Gemini 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
τ²-Bench Telecom36.5%Not measuredOnly R1 0528 measured
METR time horizons53.8%55.4%Gemini 2.5 Pro Preview 06-05
Remote Labor IndexNot measured0.8%Only Gemini 2.5 Pro Preview 06-05 measured
DeepResearch Bench35.1%42.8%Gemini 2.5 Pro Preview 06-05
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for R1 0528 and Gemini 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
GPQA Diamond (Artificial Analysis run)81.3%83.6%Gemini 2.5 Pro Preview 06-05
Humanity's Last Exam (Artificial Analysis run)15.8%19.9%Gemini 2.5 Pro Preview 06-05
GPQA Diamond (Epoch AI run)76.3%84.8%Gemini 2.5 Pro Preview 06-05
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%62.4%Gemini 2.5 Pro Preview 06-05
VPCTNot measured46.4%Only Gemini 2.5 Pro Preview 06-05 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
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for R1 0528 and Gemini 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%Not measuredOnly R1 0528 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 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for R1 0528 and Gemini 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
MMLU Pro (Artificial Analysis run)84.9%85.8%Gemini 2.5 Pro Preview 06-05
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 12 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 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
Design Arena: websites1149Not measuredOnly R1 0528 measured
Design Arena: UI components1102Not measuredOnly R1 0528 measured
Design Arena: game dev1098Not measuredOnly R1 0528 measured
Design Arena: data viz1182Not measuredOnly R1 0528 measured
Design Arena: 3D1111Not measuredOnly R1 0528 measured
Design Arena: all code categories1139Not 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 index01
General benchmarks for R1 0528 and Gemini 2.5 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
IFBench39.6%Not measuredOnly R1 0528 measured
Long context reasoning (AA-LCR)55.7%Not measuredOnly R1 0528 measured
Fiction.LiveBench75.0%91.7%Gemini 2.5 Pro Preview 06-05
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 25 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 Pro Preview 06-05
BenchmarkR1 0528Gemini 2.5 Pro Preview 06-05Leader
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 Pro Preview 06-05$0.0063Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
Gemini 2.5 Pro Preview 06-05$0.092Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
Gemini 2.5 Pro Preview 06-05$0.350Fits in one request

R1 0528 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 Pro Preview 06-05
SpecificationDeepSeek R1 0528Google Gemini 2.5 Pro Preview 06-05
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025June 5, 2025
Context window164K1.05M
Input $/Mtok$0.50$1.25
Output $/Mtok$2.15$10.00
Coding index71.483.1
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Gemini 2.5 Pro Preview 06-05 for coding?

Pick Gemini 2.5 Pro Preview 06-05 for coding: it scores 83.1 on the Vibe Coding Index against 71.4 for R1 0528. Pick R1 0528 when output tokens cost 4.7x less.

Which is cheaper, R1 0528 or Gemini 2.5 Pro Preview 06-05?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; Gemini 2.5 Pro Preview 06-05 costs $1.25 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 164K.

How many benchmarks is the R1 0528 vs Gemini 2.5 Pro Preview 06-05 comparison based on?

10 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 Pro Preview 06-05's on 1. Where only one model has a result, the page says so instead of naming a winner.

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