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GPT-4.1 Mini vs Qwen3.5-35B-A3B

Updated October 21, 2026. 40 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Mini Replace Qwen3.5-35B-A3B
GPT-4.1 MiniOpenAI
Coding
28.5
Overall
10.2
Output $/M
$1.60
0
Qwen3.5-35B-A3BQwen
Coding
7.7
Overall
19.3
Output $/M
$1.00
40
vs boards won of 40 shared

Decision reading

Pick GPT-4.1 Mini for coding: it scores 28.5 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B.

Pick Qwen3.5-35B-A3B when output tokens cost 1.6x less, or when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4.1 MiniOpenAI28.5/1002 independent benchmarks$1.818 per solved taskModel BQwen3.5-35B-A3BQwen7.7/1001 independent benchmarkNo cost per solved task
Shared results
40
GPT-4.1 Mini only
44
Qwen3.5-35B-A3B only
5
Like-for-like categories
7 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
GPT-4.1 Mini 28.5 from 2 benchmarks, Qwen3.5-35B-A3B 7.7 from 1 benchmark.
Widest category
Agentic work, 36.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Mini 52.9% against Qwen3.5-35B-A3B 89.2%, 36.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Qwen3.5-35B-A3B $1.00 per million output tokens, 1.6x apart.
Context window
GPT-4.1 Mini takes 1.05M tokens, Qwen3.5-35B-A3B 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
CategoryGPT-4.1 MiniBarsQwen3.5-35B-A3BTies
Coding03
Intelligence02
Agentic work01
Reasoning06
Math03
Knowledge04
General021
All shared boards040
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
Terminal-Bench Hard (Artificial Analysis run)7.6%26.5%Qwen3.5-35B-A3B
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: coding13671410Qwen3.5-35B-A3B
LMArena Text: software and IT13601415Qwen3.5-35B-A3B
LMArena WebDev: ReactNot measured1238Only Qwen3.5-35B-A3B measured
LMArena WebDev: HTMLNot measured1301Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
AA Intelligence Index10.219.3Qwen3.5-35B-A3B
Epoch Capabilities Index134.9142.5Qwen3.5-35B-A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
τ²-Bench Telecom52.9%89.2%Qwen3.5-35B-A3B
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)5.0%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)65.8%83.5%Qwen3.5-35B-A3B
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts13491400Qwen3.5-35B-A3B
LMArena Text: expert13381408Qwen3.5-35B-A3B
LMArena Text: hard prompts in English13621411Qwen3.5-35B-A3B
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%70.0%Qwen3.5-35B-A3B
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431404Qwen3.5-35B-A3B
LMArena Text: mathematical work13471410Qwen3.5-35B-A3B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281413Qwen3.5-35B-A3B
LMArena Text: medicine and healthcare13241421Qwen3.5-35B-A3B
LMArena Text: legal and government13431399Qwen3.5-35B-A3B
LMArena Text: business and finance13221394Qwen3.5-35B-A3B
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
Design Arena: websites997Not measuredOnly GPT-4.1 Mini measured
Design Arena: UI components961Not measuredOnly GPT-4.1 Mini measured
Design Arena: game dev1071Not measuredOnly GPT-4.1 Mini measured
Design Arena: data viz1034Not measuredOnly GPT-4.1 Mini measured
Design Arena: 3D837Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories994Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
IFBench38.3%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)44.0%72.0%Qwen3.5-35B-A3B
DTBench68.8%80.0%Qwen3.5-35B-A3B
LMCA21.1%29.5%Qwen3.5-35B-A3B
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411395Qwen3.5-35B-A3B
LMArena Text: instruction following13331379Qwen3.5-35B-A3B
LMArena Text: creative writing12991347Qwen3.5-35B-A3B
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561407Qwen3.5-35B-A3B
LMArena Text: non-English13181378Qwen3.5-35B-A3B
LMArena Text: Chinese13291457Qwen3.5-35B-A3B
LMArena Text: German13501367Qwen3.5-35B-A3B
LMArena Text: Japanese12901326Qwen3.5-35B-A3B
LMArena Text: Korean12981355Qwen3.5-35B-A3B
LMArena Text: French13581412Qwen3.5-35B-A3B
LMArena Text: Spanish13191390Qwen3.5-35B-A3B
LMArena Text: Russian13241376Qwen3.5-35B-A3B
LMArena Text: Polish13261385Qwen3.5-35B-A3B
LMArena Text: multi-turn13541390Qwen3.5-35B-A3B
LMArena Text: longer queries13441389Qwen3.5-35B-A3B
LMArena Text: writing and language13191365Qwen3.5-35B-A3B
LMArena Text: entertainment and media13001347Qwen3.5-35B-A3B
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Mini and Qwen3.5-35B-A3B
BenchmarkGPT-4.1 MiniQwen3.5-35B-A3BLeader
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

GPT-4.1 Mini$0.0012Fits in one request
Qwen3.5-35B-A3B$0.0006Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Qwen3.5-35B-A3B$0.010Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Qwen3.5-35B-A3B$0.038Fits in one request

Qwen3.5-35B-A3B 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 GPT-4.1 Mini and Qwen3.5-35B-A3B
SpecificationOpenAI GPT-4.1 MiniQwen3.5-35B-A3B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025February 25, 2026
Context window1.05M262K
Input $/Mtok$0.40$0.14
Output $/Mtok$1.60$1.00
Coding index28.57.7
Independent measurements behind it21
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Qwen3.5-35B-A3B for coding?

Pick GPT-4.1 Mini for coding: it scores 28.5 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B. Pick Qwen3.5-35B-A3B when output tokens cost 1.6x less, or when what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4.1 Mini or Qwen3.5-35B-A3B?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Qwen3.5-35B-A3B costs $0.14 and $1.00. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Qwen3.5-35B-A3B?

GPT-4.1 Mini, with 1.05M tokens against 262K.

How many benchmarks is the GPT-4.1 Mini vs Qwen3.5-35B-A3B comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Mini's coding index rests on 2 independent benchmarks and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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