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R1 0528 vs GPT-5 Nano

R1 0528 leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 13.1 to 13.0, and GPT-5 Nano costs 5.5x less per output token ($0.40 vs $2.18 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace R1 0528 Replace GPT-5 Nano
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
43
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
7
vs boards won of 51 shared, 1 tied

R1 0528 or GPT-5 Nano: 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 LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved task
Shared results
51
R1 0528 only
9
GPT-5 Nano only
36
Like-for-like categories
8 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, GPT-5 Nano not benchmarked.
Widest category
General, 18.5 points apart on average over 19 shared benchmarks.
Widest single gap
Fiction.LiveBench: R1 0528 75.0% against GPT-5 Nano 44.4%, 30.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against GPT-5 Nano $0.40 per million output tokens, 5.5x apart.
Context window
R1 0528 takes 164K tokens, GPT-5 Nano 400K.

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 0528BarsGPT-5 NanoTies
Coding32
Intelligence10
Agentic work001 tie
Reasoning71
Math33
Knowledge50
Web design60
General181
All shared boards4371 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
SWE-bench VerifiedNot measured34.8%Only GPT-5 Nano measured
LiveCodeBench (Vals AI)Not measured70.2%Only GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)77.0%78.9%GPT-5 Nano
Terminal-Bench Hard (Artificial Analysis run)15.9%17.4%GPT-5 Nano
Terminal-BenchNot measured21.8%Only GPT-5 Nano measured
WeirdML41.6%38.1%R1 0528
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271351R1 0528
LMArena Text: software and IT14351345R1 0528
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
AA Intelligence Index13.113.0R1 0528
Epoch Capabilities IndexNot measured139.2Only GPT-5 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index00
Agentic work benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
τ²-Bench Telecom36.5%36.5%Tie
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured51.4%Only GPT-5 Nano measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
Reasoning benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
GPQA DiamondNot measured63.4%Only GPT-5 Nano measured
MMMU Pro (Vals AI)Not measured70.9%Only GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)81.3%67.6%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%9.5%R1 0528
GPQA Diamond (Epoch AI run)76.3%69.4%R1 0528
ARC-AGI21.2%20.7%R1 0528
ARC-AGI-21.1%2.6%GPT-5 Nano
SimpleBench40.8%Not measuredOnly R1 0528 measured
Chess puzzlesNot measured22.0%Only GPT-5 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5 Nano measured
VPCTNot measured37.2%Only GPT-5 Nano measured
LMArena Text: hard prompts14151328R1 0528
LMArena Text: expert13941321R1 0528
LMArena Text: hard prompts in English14221338R1 0528
LMArena Vision: diagramsNot measured1141Only GPT-5 Nano measured
LMArena Vision: homeworkNot measured1157Only GPT-5 Nano measured
Kagi LLM BenchmarkNot measured62.2%Only GPT-5 Nano measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index33
Math benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
AIMENot measured81.2%Only GPT-5 Nano measured
MATH 500 (Vals AI)Not measured93.8%Only GPT-5 Nano measured
MGSM (Vals AI)Not measured89.3%Only GPT-5 Nano measured
AA Math Index76.083.7GPT-5 Nano
AIME 2025 (Artificial Analysis run)76.0%83.7%GPT-5 Nano
OTIS Mock AIME66.4%81.1%GPT-5 Nano
FrontierMath, tiers 1 to 3Not measured20.0%Only GPT-5 Nano measured
FrontierMath, tier 4Not measured2.4%Only GPT-5 Nano measured
ProofBenchNot measured12.0%Only GPT-5 Nano measured
MATH level 596.6%95.2%R1 0528
LMArena Text: math14001317R1 0528
LMArena Text: mathematical work14151326R1 0528
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
MMLU ProNot measured76.1%Only GPT-5 Nano measured
LegalBench (Vals AI)Not measured50.1%Only GPT-5 Nano measured
CaseLaw (Vals AI)Not measured52.6%Only GPT-5 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5 Nano measured
MortgageTax (Vals AI)Not measured53.6%Only GPT-5 Nano measured
MedQA (Vals AI)Not measured93.3%Only GPT-5 Nano measured
MedCode (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)84.9%78.0%R1 0528
SimpleQA VerifiedNot measured11.7%Only GPT-5 Nano measured
LMArena Text: science14301318R1 0528
LMArena Text: medicine and healthcare14451335R1 0528
LMArena Text: legal and government14191298R1 0528
LMArena Text: business and finance14021311R1 0528
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
Design Arena: websites11491101R1 0528
Design Arena: UI components11001064R1 0528
Design Arena: game dev10971044R1 0528
Design Arena: data viz11821056R1 0528
Design Arena: 3D1110965R1 0528
Design Arena: all code categories11381084R1 0528
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 index181
General benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
SAGE (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MedScribe (Vals AI)Not measured72.9%Only GPT-5 Nano measured
IFBench39.6%67.6%GPT-5 Nano
Long context reasoning (AA-LCR)55.7%45.0%R1 0528
DTBenchNot measured62.7%Only GPT-5 Nano measured
LMCANot measured7.9%Only GPT-5 Nano measured
Fiction.LiveBench75.0%44.4%R1 0528
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281320R1 0528
LMArena Text: instruction following13821306R1 0528
LMArena Text: creative writing14051249R1 0528
LMArena VisionNot measured1159Only GPT-5 Nano measured
LMArena Text: English14371321R1 0528
LMArena Text: non-English14121313R1 0528
LMArena Text: Chinese14421356R1 0528
LMArena Text: German14041327R1 0528
LMArena Text: Japanese13911227R1 0528
LMArena Text: Korean13601269R1 0528
LMArena Text: French1417Not measuredOnly R1 0528 measured
LMArena Text: Spanish14111360R1 0528
LMArena Text: Russian14231296R1 0528
LMArena Text: Polish14281314R1 0528
LMArena Text: multi-turn14051311R1 0528
LMArena Text: longer queries13911312R1 0528
LMArena Text: writing and language14021283R1 0528
LMArena Text: entertainment and media14001268R1 0528
LMArena Vision: EnglishNot measured1170Only GPT-5 Nano measured
LMArena Vision: ChineseNot measured1176Only GPT-5 Nano measured
LMArena Vision: reading textNot measured1152Only GPT-5 Nano measured
LMArena Vision: humorNot measured1110Only GPT-5 Nano measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and GPT-5 Nano
BenchmarkR1 0528GPT-5 NanoLeader
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
GPT-5 Nano$0.0003Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
GPT-5 Nano$0.0037Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
GPT-5 Nano$0.014Fits in one request

GPT-5 Nano 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 GPT-5 Nano
SpecificationDeepSeek R1 0528OpenAI GPT-5 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025August 7, 2025
Context window164K400K
Input $/Mtok$0.50$0.05
Output $/Mtok$2.18$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$0.109
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than GPT-5 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, R1 0528 or GPT-5 Nano?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, R1 0528 or GPT-5 Nano?

GPT-5 Nano, with 400K tokens against 164K.

How many benchmarks is the R1 0528 vs GPT-5 Nano comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and GPT-5 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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