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R1 0528 vs Solar Pro 4

Solar Pro 4 leads R1 0528 on the Artificial Analysis Intelligence Index, 28.2 to 13.1, and Solar Pro 4 costs 3.6x less per output token ($0.60 vs $2.18 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace R1 0528 Replace Solar Pro 4
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
24
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
15
vs boards won of 39 shared

R1 0528 or Solar Pro 4: 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 LMArena Text: coding or AA Intelligence Index, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BSolar Pro 4UpstageNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
39
R1 0528 only
21
Solar Pro 4 only
6
Like-for-like categories
7 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, Solar Pro 4 not benchmarked.
Widest category
Intelligence, 15.1 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: R1 0528 804.1 against Solar Pro 4 179.3, 20.8 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against Solar Pro 4 $0.60 per million output tokens, 3.6x apart.
Context window
R1 0528 takes 164K tokens, Solar Pro 4 524K.

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 0528BarsSolar Pro 4Ties
Coding21
Intelligence01
Reasoning14
Math02
Knowledge40
Web design15
General162
All shared boards2415
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LMArena WebDevNot measured1371Only Solar Pro 4 measured
AA Coding IndexNot measured52.7Only Solar Pro 4 measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
SciCodeNot measured48.0%Only Solar Pro 4 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly R1 0528 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1179.3R1 0528
LMArena Text: coding14271438Solar Pro 4
LMArena Text: software and IT14351431R1 0528
LMArena WebDev: ReactNot measured1363Only Solar Pro 4 measured
LMArena WebDev: HTMLNot measured1371Only Solar Pro 4 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
AA Intelligence Index13.128.2Solar Pro 4
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
τ²-Bench Telecom36.5%Not measuredOnly R1 0528 measured
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 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 index14
Reasoning benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
GPQA Diamond (Artificial Analysis run)81.3%89.1%Solar Pro 4
Humanity's Last Exam (Artificial Analysis run)15.8%29.8%Solar Pro 4
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
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 prompts14151400R1 0528
LMArena Text: expert13941428Solar Pro 4
LMArena Text: hard prompts in English14221427Solar Pro 4
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
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: math14001421Solar Pro 4
LMArena Text: mathematical work14151427Solar Pro 4
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science14301404R1 0528
LMArena Text: medicine and healthcare14451374R1 0528
LMArena Text: legal and government14191383R1 0528
LMArena Text: business and finance14021381R1 0528
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index15
Web design benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
Design Arena: websites11491176Solar Pro 4
Design Arena: UI components11001147Solar Pro 4
Design Arena: game dev10971169Solar Pro 4
Design Arena: data viz11821177R1 0528
Design Arena: 3D11101178Solar Pro 4
Design Arena: all code categories11381182Solar Pro 4
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 index162
General benchmarks for R1 0528 and Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
IFBench39.6%Not measuredOnly R1 0528 measured
Long context reasoning (AA-LCR)55.7%70.7%Solar Pro 4
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281388R1 0528
LMArena Text: instruction following13821375R1 0528
LMArena Text: creative writing14051317R1 0528
LMArena Text: English14371414R1 0528
LMArena Text: non-English14121363R1 0528
LMArena Text: Chinese14421422R1 0528
LMArena Text: German14041358R1 0528
LMArena Text: Japanese13911320R1 0528
LMArena Text: Korean13601383Solar Pro 4
LMArena Text: French14171400R1 0528
LMArena Text: Spanish14111409R1 0528
LMArena Text: Russian14231357R1 0528
LMArena Text: Polish14281304R1 0528
LMArena Text: multi-turn14051385R1 0528
LMArena Text: longer queries13911382R1 0528
LMArena Text: writing and language14021344R1 0528
LMArena Text: entertainment and media14001332R1 0528
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 Solar Pro 4
BenchmarkR1 0528Solar Pro 4Leader
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
Solar Pro 4$0.0004Fits in one request

Solar Pro 4 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
Solar Pro 4$0.0093Fits in one request

Solar Pro 4 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
Solar Pro 4$0.036Fits in one request

Solar Pro 4 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 Solar Pro 4
SpecificationDeepSeek R1 0528Upstage Solar Pro 4
MakerDeepSeekUpstage
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025August 10, 2026
Context window164K524K
Input $/Mtok$0.50$0.15
Output $/Mtok$2.18$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Solar Pro 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by LMArena Text: coding or AA Intelligence Index, where it leads.

Which is cheaper, R1 0528 or Solar Pro 4?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or Solar Pro 4?

Solar Pro 4, with 524K tokens against 164K.

How many benchmarks is the R1 0528 vs Solar Pro 4 comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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