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R1 0528 vs Qwen3.5-Flash

Updated October 21, 2026. 31 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace R1 0528 Replace Qwen3.5-Flash
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
25
Qwen3.5-FlashQwen
Coding
6.2
Overall
No data
Output $/M
$0.26
6
vs boards won of 31 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash.

Pick Qwen3.5-Flash when output tokens cost 8.3x less, or when the context window is larger, 1M against 164K tokens.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BQwen3.5-FlashQwen6.2/1001 independent benchmark$0.40 per solved task
Shared results
31
R1 0528 only
28
Qwen3.5-Flash only
24
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 71.4 from 1 benchmark, Qwen3.5-Flash 6.2 from 1 benchmark.
Widest category
Coding, 7.9 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: R1 0528 66.4% against Qwen3.5-Flash 84.4%, 18.1 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against Qwen3.5-Flash $0.26 per million output tokens, 8.3x apart.
Context window
R1 0528 takes 164K tokens, Qwen3.5-Flash 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 0528BarsQwen3.5-FlashTies
Coding30
Reasoning22
Math12
Knowledge40
General152
All shared boards256
CodingLike-for-likeFour of these boards feed the Vibe Coding Index30
Coding benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LMArena WebDevNot measured1244Only Qwen3.5-Flash measured
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly R1 0528 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1265.9R1 0528
LMArena Text: coding14271412R1 0528
LMArena Text: software and IT14351416R1 0528
LMArena WebDev: ReactNot measured1229Only Qwen3.5-Flash measured
LMArena WebDev: HTMLNot measured1291Only Qwen3.5-Flash measured
Neither model has a result on the other 26 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
AA Intelligence Index13.1Not measuredOnly R1 0528 measured
Epoch Capabilities IndexNot measured143.5Only Qwen3.5-Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
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
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
Reasoning benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
GPQA DiamondNot measured82.8%Only Qwen3.5-Flash measured
MMMU Pro (Vals AI)Not measured81.9%Only Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)81.3%Not measuredOnly R1 0528 measured
Humanity's Last Exam (Artificial Analysis run)15.8%Not measuredOnly R1 0528 measured
GPQA Diamond (Epoch AI run)76.3%82.3%Qwen3.5-Flash
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzlesNot measured20.0%Only Qwen3.5-Flash measured
LMArena Text: hard prompts14151403R1 0528
LMArena Text: expert13941407Qwen3.5-Flash
LMArena Text: hard prompts in English14221409R1 0528
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%84.4%Qwen3.5-Flash
FrontierMath, tiers 1 to 3Not measured18.2%Only Qwen3.5-Flash measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001407Qwen3.5-Flash
LMArena Text: mathematical work14151413R1 0528
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)Not measured56.0%Only Qwen3.5-Flash measured
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)Not measured67.4%Only Qwen3.5-Flash measured
MedCode (Vals AI)Not measured33.0%Only Qwen3.5-Flash measured
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14301415R1 0528
LMArena Text: medicine and healthcare14451407R1 0528
LMArena Text: legal and government14191398R1 0528
LMArena Text: business and finance14021394R1 0528
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
Design Arena: websites1149Not measuredOnly R1 0528 measured
Design Arena: UI components1102Not measuredOnly R1 0528 measured
Design Arena: game dev1098Not measuredOnly R1 0528 measured
Design Arena: data viz1182Not measuredOnly R1 0528 measured
Design Arena: 3D1111Not measuredOnly R1 0528 measured
Design Arena: all code categories1139Not measuredOnly R1 0528 measured
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 index152
General benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
SAGE (Vals AI)Not measured42.5%Only Qwen3.5-Flash measured
MedScribe (Vals AI)Not measured70.6%Only Qwen3.5-Flash measured
IFBench39.6%Not measuredOnly R1 0528 measured
Long context reasoning (AA-LCR)55.7%Not measuredOnly R1 0528 measured
DTBenchNot measured82.9%Only Qwen3.5-Flash measured
LMCANot measured29.1%Only Qwen3.5-Flash measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281397R1 0528
LMArena Text: instruction following13821374R1 0528
LMArena Text: creative writing14051343R1 0528
LMArena Text: English14371404R1 0528
LMArena Text: non-English14121385R1 0528
LMArena Text: Chinese14421445Qwen3.5-Flash
LMArena Text: German14041390R1 0528
LMArena Text: Japanese13911369R1 0528
LMArena Text: Korean13601344R1 0528
LMArena Text: French14171413R1 0528
LMArena Text: Spanish14111400R1 0528
LMArena Text: Russian14231380R1 0528
LMArena Text: Polish14281376R1 0528
LMArena Text: multi-turn14051393R1 0528
LMArena Text: longer queries13911392Qwen3.5-Flash
LMArena Text: writing and language14021369R1 0528
LMArena Text: entertainment and media14001347R1 0528
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and Qwen3.5-Flash
BenchmarkR1 0528Qwen3.5-FlashLeader
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
Qwen3.5-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-Flash 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 Qwen3.5-Flash
SpecificationDeepSeek R1 0528Qwen3.5-Flash
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025February 25, 2026
Context window164K1M
Input $/Mtok$0.50$0.065
Output $/Mtok$2.15$0.26
Coding index71.46.2
Independent measurements behind it11
Cost per solved taskNot computable$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than Qwen3.5-Flash for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash. Pick Qwen3.5-Flash when output tokens cost 8.3x less, or when the context window is larger, 1M against 164K tokens.

Which is cheaper, R1 0528 or Qwen3.5-Flash?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, R1 0528 or Qwen3.5-Flash?

Qwen3.5-Flash, with 1M tokens against 164K.

How many benchmarks is the R1 0528 vs Qwen3.5-Flash comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and Qwen3.5-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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