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Qwen3.5-Flash vs Step 3.5 Flash

Qwen3.5-Flash and Step 3.5 Flash cost about the same per output token ($0.26 vs $0.30 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
3
Step 3.5 FlashStepFun
Coding
No data
Overall
No data
Output $/M
$0.30
25
vs boards won of 28 shared

Qwen3.5-Flash or Step 3.5 Flash: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Step 3.5 Flash has none, so the two cannot be ranked on coding.

Pick Step 3.5 Flash for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
28
Qwen3.5-Flash only
27
Step 3.5 Flash only
7
Like-for-like categories
5 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
Qwen3.5-Flash 41.1 from 2 benchmarks, Step 3.5 Flash not benchmarked.
Widest category
Coding, 3.5 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: coding: Qwen3.5-Flash 1412 against Step 3.5 Flash 1436, 4.0 points apart on a 0 to 100 scale.
Output price
Qwen3.5-Flash $0.26 against Step 3.5 Flash $0.30 per million output tokens, 1.2x apart.
Context window
Qwen3.5-Flash takes 1M tokens, Step 3.5 Flash 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
CategoryQwen3.5-FlashBarsStep 3.5 FlashTies
Coding02
Reasoning03
Math02
Knowledge22
General116
All shared boards325
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
LMArena WebDev1244Not measuredOnly Qwen3.5-Flash measured
LiveCodeBench (Vals AI)83.3%Not measuredOnly Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)64.4%Not measuredOnly Qwen3.5-Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured32.6%Only Step 3.5 Flash measured
ALE-Bench265.9Not measuredOnly Qwen3.5-Flash measured
LMArena Text: coding14121436Step 3.5 Flash
LMArena Text: software and IT14161434Step 3.5 Flash
LMArena WebDev: React1229Not measuredOnly Qwen3.5-Flash measured
LMArena WebDev: HTML1291Not measuredOnly Qwen3.5-Flash measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
AA Intelligence IndexNot measured17.0Only Step 3.5 Flash measured
Epoch Capabilities Index143.5Not measuredOnly Qwen3.5-Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
τ²-Bench TelecomNot measured94.4%Only Step 3.5 Flash measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
GPQA Diamond82.8%Not measuredOnly Qwen3.5-Flash measured
MMMU Pro (Vals AI)81.9%Not measuredOnly Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)Not measured83.1%Only Step 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured24.5%Only Step 3.5 Flash measured
GPQA Diamond (Epoch AI run)82.3%Not measuredOnly Qwen3.5-Flash measured
Chess puzzles14.0%Not measuredOnly Qwen3.5-Flash measured
Mystery game puzzles20.0%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: hard prompts14031411Step 3.5 Flash
LMArena Text: expert14071421Step 3.5 Flash
LMArena Text: hard prompts in English14091421Step 3.5 Flash
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
AIME92.5%Not measuredOnly Qwen3.5-Flash measured
OTIS Mock AIME84.4%Not measuredOnly Qwen3.5-Flash measured
FrontierMath, tiers 1 to 318.2%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: math14071408Step 3.5 Flash
LMArena Text: mathematical work14131421Step 3.5 Flash
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
MMLU Pro84.1%Not measuredOnly Qwen3.5-Flash measured
LegalBench (Vals AI)84.3%Not measuredOnly Qwen3.5-Flash measured
CaseLaw (Vals AI)56.0%Not measuredOnly Qwen3.5-Flash measured
CorpFin (Vals AI)63.6%Not measuredOnly Qwen3.5-Flash measured
TaxEval (Vals AI)72.2%Not measuredOnly Qwen3.5-Flash measured
MortgageTax (Vals AI)67.4%Not measuredOnly Qwen3.5-Flash measured
MedCode (Vals AI)33.0%Not measuredOnly Qwen3.5-Flash measured
SimpleQA Verified20.3%Not measuredOnly Qwen3.5-Flash measured
LMArena Text: science14151415Qwen3.5-Flash
LMArena Text: medicine and healthcare14071408Step 3.5 Flash
LMArena Text: legal and government13981408Step 3.5 Flash
LMArena Text: business and finance13941394Qwen3.5-Flash
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index116
General benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 FlashLeader
SAGE (Vals AI)42.5%Not measuredOnly Qwen3.5-Flash measured
MedScribe (Vals AI)70.6%Not measuredOnly Qwen3.5-Flash measured
IFBenchNot measured66.5%Only Step 3.5 Flash measured
Long context reasoning (AA-LCR)Not measured63.0%Only Step 3.5 Flash measured
DTBench82.9%Not measuredOnly Qwen3.5-Flash measured
LMCA29.1%Not measuredOnly Qwen3.5-Flash measured
LMArena Text13971403Step 3.5 Flash
LMArena Text: instruction following13741385Step 3.5 Flash
LMArena Text: creative writing13431357Step 3.5 Flash
LMArena Text: English14041417Step 3.5 Flash
LMArena Text: non-English13851385Step 3.5 Flash
LMArena Text: Chinese14451446Step 3.5 Flash
LMArena Text: German13901405Step 3.5 Flash
LMArena Text: Japanese13691353Qwen3.5-Flash
LMArena Text: Korean13441351Step 3.5 Flash
LMArena Text: French14131421Step 3.5 Flash
LMArena Text: Spanish14001419Step 3.5 Flash
LMArena Text: Russian13801385Step 3.5 Flash
LMArena Text: Polish13761389Step 3.5 Flash
LMArena Text: multi-turn13931404Step 3.5 Flash
LMArena Text: longer queries13921402Step 3.5 Flash
LMArena Text: writing and language13691372Step 3.5 Flash
LMArena Text: entertainment and media13471360Step 3.5 Flash
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-Flash and Step 3.5 Flash
BenchmarkQwen3.5-FlashStep 3.5 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

Qwen3.5-Flash$0.0002Fits in one request
Step 3.5 Flash$0.0003Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Qwen3.5-Flash$0.0040Fits in one request
Step 3.5 Flash$0.0059Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-Flash$0.016Fits in one request
Step 3.5 Flash$0.023Fits 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 Qwen3.5-Flash and Step 3.5 Flash
SpecificationQwen3.5-FlashStepFun Step 3.5 Flash
MakerQwenStepFun
WeightsNo public weights listedOpen weights
ReleasedFebruary 25, 2026January 29, 2026
Context window1M262K
Input $/Mtok$0.065$0.10
Output $/Mtok$0.26$0.30
Coding index41.1Not benchmarked
Independent measurements behind it20
Cost per solved task$0.40Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-Flash better than Step 3.5 Flash for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Step 3.5 Flash has none, so the two cannot be ranked on coding. Pick Step 3.5 Flash for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Qwen3.5-Flash or Step 3.5 Flash?

Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens; Step 3.5 Flash costs $0.10 and $0.30. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, Qwen3.5-Flash or Step 3.5 Flash?

Qwen3.5-Flash, with 1M tokens against 262K.

How many benchmarks is the Qwen3.5-Flash vs Step 3.5 Flash comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-Flash's coding index rests on 2 independent benchmarks and Step 3.5 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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