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R1 0528 vs Qwen3.7 Plus

Qwen3.7 Plus leads R1 0528 on the Artificial Analysis Intelligence Index, 25.2 to 13.1, and Qwen3.7 Plus costs 1.7x less per output token ($1.28 vs $2.18 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace R1 0528 Replace Qwen3.7 Plus
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
0
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
44
vs boards won of 44 shared

R1 0528 or Qwen3.7 Plus: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
44
R1 0528 only
16
Qwen3.7 Plus only
31
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, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 56.4 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: R1 0528 36.5% against Qwen3.7 Plus 93.0%, 56.4 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against Qwen3.7 Plus $1.28 per million output tokens, 1.7x apart.
Context window
R1 0528 takes 164K tokens, Qwen3.7 Plus 1M.

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 0528BarsQwen3.7 PlusTies
Coding03
Intelligence01
Agentic work01
Reasoning06
Math03
Knowledge04
Web design07
General019
All shared boards044
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)15.9%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271473Qwen3.7 Plus
LMArena Text: software and IT14351473Qwen3.7 Plus
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
AA Intelligence Index13.125.2Qwen3.7 Plus
Epoch Capabilities IndexNot measured147.0Only Qwen3.7 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench Telecom36.5%93.0%Qwen3.7 Plus
METR time horizons53.8%Not measuredOnly R1 0528 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus 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 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
GPQA Diamond (Artificial Analysis run)81.3%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)15.8%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)76.3%87.9%Qwen3.7 Plus
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard prompts14151460Qwen3.7 Plus
LMArena Text: expert13941466Qwen3.7 Plus
LMArena Text: hard prompts in English14221460Qwen3.7 Plus
LMArena Vision: diagramsNot measured1292Only Qwen3.7 Plus measured
LMArena Vision: homeworkNot measured1295Only Qwen3.7 Plus measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 3Not measured34.4%Only Qwen3.7 Plus measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001467Qwen3.7 Plus
LMArena Text: mathematical work14151470Qwen3.7 Plus
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science14301464Qwen3.7 Plus
LMArena Text: medicine and healthcare14451464Qwen3.7 Plus
LMArena Text: legal and government14191451Qwen3.7 Plus
LMArena Text: business and finance14021435Qwen3.7 Plus
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
Design Arena: websites11491269Qwen3.7 Plus
Design Arena: UI components11001258Qwen3.7 Plus
Design Arena: game dev10971261Qwen3.7 Plus
Design Arena: data viz11821276Qwen3.7 Plus
Design Arena: 3D11101238Qwen3.7 Plus
Design Arena: all code categories11381269Qwen3.7 Plus
Design Arena: SVG10381208Qwen3.7 Plus
Design Arena: ASCII artNot measured1143Only Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench39.6%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)55.7%73.0%Qwen3.7 Plus
DTBenchNot measured84.0%Only Qwen3.7 Plus measured
LMCANot measured37.6%Only Qwen3.7 Plus measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281454Qwen3.7 Plus
LMArena Text: instruction following13821439Qwen3.7 Plus
LMArena Text: creative writing14051438Qwen3.7 Plus
LMArena VisionNot measured1278Only Qwen3.7 Plus measured
LMArena Text: English14371458Qwen3.7 Plus
LMArena Text: non-English14121445Qwen3.7 Plus
LMArena Text: Chinese14421509Qwen3.7 Plus
LMArena Text: German14041471Qwen3.7 Plus
LMArena Text: Japanese13911412Qwen3.7 Plus
LMArena Text: Korean13601413Qwen3.7 Plus
LMArena Text: French14171472Qwen3.7 Plus
LMArena Text: Spanish14111457Qwen3.7 Plus
LMArena Text: Russian14231457Qwen3.7 Plus
LMArena Text: Polish14281449Qwen3.7 Plus
LMArena Text: multi-turn14051459Qwen3.7 Plus
LMArena Text: longer queries13911454Qwen3.7 Plus
LMArena Text: writing and language14021437Qwen3.7 Plus
LMArena Text: entertainment and media14001422Qwen3.7 Plus
LMArena Vision: EnglishNot measured1280Only Qwen3.7 Plus measured
LMArena Vision: ChineseNot measured1332Only Qwen3.7 Plus measured
LMArena Vision: reading textNot measured1288Only Qwen3.7 Plus measured
LMArena Vision: humorNot measured1261Only Qwen3.7 Plus measured
LMArena Vision: creative writingNot measured1258Only Qwen3.7 Plus measured
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and Qwen3.7 Plus
BenchmarkR1 0528Qwen3.7 PlusLeader
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
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 Plus 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 Qwen3.7 Plus
SpecificationDeepSeek R1 0528Qwen3.7 Plus
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025June 3, 2026
Context window164K1M
Input $/Mtok$0.50$0.32
Output $/Mtok$2.18$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it02
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, R1 0528 or Qwen3.7 Plus?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 164K.

How many benchmarks is the R1 0528 vs Qwen3.7 Plus comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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