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R1 0528 vs Qwen3 Coder 480B A35B

R1 0528 leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 13.1 to 11.9, and Qwen3 Coder 480B A35B costs 1.5x less per output token ($1.50 vs $2.18 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Replace R1 0528 Replace Qwen3 Coder 480B A35B
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
39
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
7
vs boards won of 46 shared

R1 0528 or Qwen3 Coder 480B A35B: 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 Terminal-Bench Hard (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
46
R1 0528 only
14
Qwen3 Coder 480B A35B only
7
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 Coder 480B A35B not benchmarked.
Widest category
Math, 21.8 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: R1 0528 76.0 against Qwen3 Coder 480B A35B 39.3, 36.7 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.5x apart.
Context window
R1 0528 takes 164K tokens, Qwen3 Coder 480B A35B 262K.

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 Coder 480B A35BTies
Coding51
Intelligence10
Agentic work01
Reasoning50
Math40
Knowledge50
Web design14
General181
All shared boards397
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
Coding benchmarks for R1 0528 and Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)77.0%58.5%R1 0528
Terminal-Bench Hard (Artificial Analysis run)15.9%18.9%Qwen3 Coder 480B A35B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdML41.6%41.2%R1 0528
ALE-Bench804.1461.4R1 0528
LMArena Text: coding14271412R1 0528
LMArena Text: software and IT14351393R1 0528
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for R1 0528 and Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
AA Intelligence Index13.111.9R1 0528
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
τ²-Bench Telecom36.5%43.6%Qwen3 Coder 480B A35B
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 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for R1 0528 and Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)81.3%61.8%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%4.5%R1 0528
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 prompts14151372R1 0528
LMArena Text: expert13941338R1 0528
LMArena Text: hard prompts in English14221380R1 0528
Kagi LLM BenchmarkNot measured49.5%Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for R1 0528 and Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
AA Math Index76.039.3R1 0528
AIME 2025 (Artificial Analysis run)76.0%39.3%R1 0528
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001365R1 0528
LMArena Text: mathematical work14151367R1 0528
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for R1 0528 and Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)84.9%78.8%R1 0528
LMArena Text: science14301347R1 0528
LMArena Text: medicine and healthcare14451347R1 0528
LMArena Text: legal and government14191358R1 0528
LMArena Text: business and finance14021343R1 0528
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index14
Web design benchmarks for R1 0528 and Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
Design Arena: websites11491158Qwen3 Coder 480B A35B
Design Arena: UI components11001110Qwen3 Coder 480B A35B
Design Arena: game dev10971098Qwen3 Coder 480B A35B
Design Arena: data viz11821084R1 0528
Design Arena: 3D1110Not measuredOnly R1 0528 measured
Design Arena: all code categories11381142Qwen3 Coder 480B A35B
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 Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
IFBench39.6%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)55.7%45.7%R1 0528
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281357R1 0528
LMArena Text: instruction following13821355R1 0528
LMArena Text: creative writing14051333R1 0528
LMArena Text: English14371359R1 0528
LMArena Text: non-English14121346R1 0528
LMArena Text: Chinese14421357R1 0528
LMArena Text: German14041325R1 0528
LMArena Text: Japanese13911311R1 0528
LMArena Text: Korean13601305R1 0528
LMArena Text: French14171398R1 0528
LMArena Text: Spanish14111360R1 0528
LMArena Text: Russian14231366R1 0528
LMArena Text: Polish14281344R1 0528
LMArena Text: multi-turn14051366R1 0528
LMArena Text: longer queries13911378R1 0528
LMArena Text: writing and language14021340R1 0528
LMArena Text: entertainment and media14001317R1 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 Qwen3 Coder 480B A35B
BenchmarkR1 0528Qwen3 Coder 480B A35BLeader
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 Coder 480B A35B$0.0010Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits in one request

Qwen3 Coder 480B A35B 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 Coder 480B A35B
SpecificationDeepSeek R1 0528Qwen3 Coder 480B A35B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025July 23, 2025
Context window164K262K
Input $/Mtok$0.50$0.30
Output $/Mtok$2.18$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by Terminal-Bench Hard (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Which is cheaper, R1 0528 or Qwen3 Coder 480B A35B?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 164K.

How many benchmarks is the R1 0528 vs Qwen3 Coder 480B A35B comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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