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R1 0528 vs GPT-4.1 Mini

R1 0528 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 13.1 to 10.2, and GPT-4.1 Mini costs 1.4x less per output token ($1.60 vs $2.18 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
52
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
1
vs boards won of 53 shared

R1 0528 or GPT-4.1 Mini: 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 τ²-Bench Telecom, where it leads.

Shared results
53
R1 0528 only
7
GPT-4.1 Mini only
33
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-4.1 Mini not benchmarked.
Widest category
Math, 18.6 points apart on average over 6 shared benchmarks.
Widest single gap
Aider polyglot: R1 0528 71.4% against GPT-4.1 Mini 32.4%, 39.0 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against GPT-4.1 Mini $1.60 per million output tokens, 1.4x apart.
Context window
R1 0528 takes 164K tokens, GPT-4.1 Mini 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 0528BarsGPT-4.1 MiniTies
Coding60
Intelligence10
Agentic work01
Reasoning80
Math60
Knowledge50
Web design60
General200
All shared boards521
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for R1 0528 and GPT-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
Aider polyglot71.4%32.4%R1 0528
SWE-bench VerifiedNot measured23.9%Only GPT-4.1 Mini measured
AA Coding IndexNot measured20.2Only GPT-4.1 Mini measured
LiveCodeBench (Vals AI)Not measured58.2%Only GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)77.0%48.3%R1 0528
Terminal-Bench Hard (Artificial Analysis run)15.9%7.6%R1 0528
WeirdML41.6%37.6%R1 0528
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271367R1 0528
LMArena Text: software and IT14351360R1 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-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
AA Intelligence Index13.110.2R1 0528
Epoch Capabilities IndexNot measured134.9Only GPT-4.1 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and GPT-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
τ²-Bench Telecom36.5%52.9%GPT-4.1 Mini
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured50.4%Only GPT-4.1 Mini 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 index80
Reasoning benchmarks for R1 0528 and GPT-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
GPQA DiamondNot measured67.9%Only GPT-4.1 Mini measured
MMMU Pro (Vals AI)Not measured70.5%Only GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)81.3%66.4%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%5.0%R1 0528
GPQA Diamond (Epoch AI run)76.3%65.8%R1 0528
ARC-AGI21.2%3.5%R1 0528
ARC-AGI-21.1%0.0%R1 0528
SimpleBench40.8%Not measuredOnly R1 0528 measured
Chess puzzlesNot measured1.0%Only GPT-4.1 Mini measured
Mystery game puzzlesNot measured7.0%Only GPT-4.1 Mini measured
LMArena Text: hard prompts14151349R1 0528
LMArena Text: expert13941338R1 0528
LMArena Text: hard prompts in English14221362R1 0528
LMArena Vision: diagramsNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: homeworkNot measured1214Only GPT-4.1 Mini measured
Kagi LLM BenchmarkNot measured48.6%Only GPT-4.1 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for R1 0528 and GPT-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
AIMENot measured49.4%Only GPT-4.1 Mini measured
MATH 500 (Vals AI)Not measured88.0%Only GPT-4.1 Mini measured
MGSM (Vals AI)Not measured87.8%Only GPT-4.1 Mini measured
AA Math Index76.046.3R1 0528
AIME 2025 (Artificial Analysis run)76.0%46.3%R1 0528
OTIS Mock AIME66.4%44.7%R1 0528
FrontierMath, tiers 1 to 3Not measured6.7%Only GPT-4.1 Mini measured
MATH level 596.6%87.3%R1 0528
LMArena Text: math14001343R1 0528
LMArena Text: mathematical work14151347R1 0528
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for R1 0528 and GPT-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
MMLU ProNot measured77.2%Only GPT-4.1 Mini measured
LegalBench (Vals AI)Not measured78.0%Only GPT-4.1 Mini measured
CorpFin (Vals AI)Not measured57.9%Only GPT-4.1 Mini measured
TaxEval (Vals AI)Not measured71.9%Only GPT-4.1 Mini measured
MortgageTax (Vals AI)Not measured65.5%Only GPT-4.1 Mini measured
MedQA (Vals AI)Not measured84.6%Only GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)84.9%78.1%R1 0528
SimpleQA VerifiedNot measured12.7%Only GPT-4.1 Mini measured
LMArena Text: science14301328R1 0528
LMArena Text: medicine and healthcare14451324R1 0528
LMArena Text: legal and government14191343R1 0528
LMArena Text: business and finance14021322R1 0528
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for R1 0528 and GPT-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
Design Arena: websites1149997R1 0528
Design Arena: UI components1100958R1 0528
Design Arena: game dev10971070R1 0528
Design Arena: data viz11821034R1 0528
Design Arena: 3D1110836R1 0528
Design Arena: all code categories1138993R1 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 index200
General benchmarks for R1 0528 and GPT-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
IFBench39.6%38.3%R1 0528
Long context reasoning (AA-LCR)55.7%44.0%R1 0528
DTBenchNot measured68.8%Only GPT-4.1 Mini measured
LMCANot measured21.1%Only GPT-4.1 Mini measured
Fiction.LiveBench75.0%44.4%R1 0528
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281341R1 0528
LMArena Text: instruction following13821333R1 0528
LMArena Text: creative writing14051299R1 0528
LMArena VisionNot measured1181Only GPT-4.1 Mini measured
LMArena Text: English14371356R1 0528
LMArena Text: non-English14121318R1 0528
LMArena Text: Chinese14421329R1 0528
LMArena Text: German14041350R1 0528
LMArena Text: Japanese13911290R1 0528
LMArena Text: Korean13601298R1 0528
LMArena Text: French14171358R1 0528
LMArena Text: Spanish14111319R1 0528
LMArena Text: Russian14231324R1 0528
LMArena Text: Polish14281326R1 0528
LMArena Text: multi-turn14051354R1 0528
LMArena Text: longer queries13911344R1 0528
LMArena Text: writing and language14021319R1 0528
LMArena Text: entertainment and media14001300R1 0528
LMArena Vision: EnglishNot measured1191Only GPT-4.1 Mini measured
LMArena Vision: ChineseNot measured1186Only GPT-4.1 Mini measured
LMArena Vision: reading textNot measured1188Only GPT-4.1 Mini measured
LMArena Vision: humorNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: captioningNot measured1174Only GPT-4.1 Mini measured
LMArena Vision: recognizing thingsNot measured1187Only GPT-4.1 Mini measured
LMArena Vision: creative writingNot measured1182Only GPT-4.1 Mini measured
Neither model has a result on the other 15 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-4.1 Mini
BenchmarkR1 0528GPT-4.1 MiniLeader
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-4.1 Mini$0.0012Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
GPT-4.1 Mini$0.025Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
GPT-4.1 Mini$0.096Fits in one request

GPT-4.1 Mini 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-4.1 Mini
SpecificationDeepSeek R1 0528OpenAI GPT-4.1 Mini
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025April 14, 2025
Context window164K1.05M
Input $/Mtok$0.50$0.40
Output $/Mtok$2.18$1.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.818
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than GPT-4.1 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by τ²-Bench Telecom, where it leads.

Which is cheaper, R1 0528 or GPT-4.1 Mini?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, R1 0528 or GPT-4.1 Mini?

GPT-4.1 Mini, with 1.05M tokens against 164K.

How many benchmarks is the R1 0528 vs GPT-4.1 Mini comparison based on?

53 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and GPT-4.1 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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