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o3 Mini vs Qwen3.5-35B-A3B

Qwen3.5-35B-A3B leads o3 Mini on the Artificial Analysis Intelligence Index, 19.3 to 12.5, and Qwen3.5-35B-A3B costs 3.4x less per output token ($1.30 vs $4.40 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace o3 Mini Replace Qwen3.5-35B-A3B
o3 MiniOpenAI
Coding
No data
Overall
38.0
Output $/M
$4.40
1
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
39
vs boards won of 40 shared

o3 Mini or Qwen3.5-35B-A3B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick o3 Mini for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model Ao3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5-35B-A3BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
40
o3 Mini only
31
Qwen3.5-35B-A3B only
5
Like-for-like categories
7 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
o3 Mini not benchmarked, Qwen3.5-35B-A3B not benchmarked.
Widest category
Agentic work, 57.9 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: o3 Mini 31.3% against Qwen3.5-35B-A3B 89.2%, 57.9 points apart on a 0 to 100 scale.
Output price
o3 Mini $4.40 against Qwen3.5-35B-A3B $1.30 per million output tokens, 3.4x apart.
Context window
o3 Mini takes 200K 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
Categoryo3 MiniBarsQwen3.5-35B-A3BTies
Coding03
Intelligence02
Agentic work01
Reasoning06
Math12
Knowledge04
General021
All shared boards139
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
Aider polyglot60.4%Not measuredOnly o3 Mini measured
SWE-bench Verified42.4%Not measuredOnly o3 Mini measured
SWE-bench Lite32.3%Not measuredOnly o3 Mini measured
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B measured
LiveCodeBench (Vals AI)71.5%Not measuredOnly o3 Mini measured
LiveCodeBench (Artificial Analysis run)73.4%Not measuredOnly o3 Mini measured
SciCode42.8%Not measuredOnly o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)6.8%26.5%Qwen3.5-35B-A3B
GSO-Bench1.3%Not measuredOnly o3 Mini measured
WeirdML43.7%Not measuredOnly o3 Mini measured
Cybench22.5%Not measuredOnly o3 Mini measured
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: coding13781410Qwen3.5-35B-A3B
LMArena Text: software and IT13641415Qwen3.5-35B-A3B
LMArena WebDev: ReactNot measured1238Only Qwen3.5-35B-A3B measured
LMArena WebDev: HTMLNot measured1301Only Qwen3.5-35B-A3B measured
SciCode7.7%Not measuredOnly o3 Mini measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
AA Intelligence Index12.519.3Qwen3.5-35B-A3B
Epoch Capabilities Index140.2142.5Qwen3.5-35B-A3B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
τ²-Bench Telecom31.3%89.2%Qwen3.5-35B-A3B
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
GPQA Diamond75.5%Not measuredOnly o3 Mini measured
GPQA Diamond (Artificial Analysis run)77.3%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)12.0%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)77.0%83.5%Qwen3.5-35B-A3B
ARC-AGI34.5%Not measuredOnly o3 Mini measured
ARC-AGI-23.0%Not measuredOnly o3 Mini measured
SimpleBench22.8%Not measuredOnly o3 Mini measured
Chess puzzles15.0%Not measuredOnly o3 Mini measured
Mystery game puzzles7.0%Not measuredOnly o3 Mini measured
LMArena Text: hard prompts13651400Qwen3.5-35B-A3B
LMArena Text: expert13641408Qwen3.5-35B-A3B
LMArena Text: hard prompts in English13751411Qwen3.5-35B-A3B
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
AIME86.5%Not measuredOnly o3 Mini measured
MATH 500 (Vals AI)91.8%Not measuredOnly o3 Mini measured
MGSM (Vals AI)91.3%Not measuredOnly o3 Mini measured
OTIS Mock AIME76.9%70.0%o3 Mini
FrontierMath, tiers 1 to 318.6%Not measuredOnly o3 Mini measured
FrontierMath, tier 40.0%Not measuredOnly o3 Mini measured
MATH level 596.5%Not measuredOnly o3 Mini measured
LMArena Text: math13961404Qwen3.5-35B-A3B
LMArena Text: mathematical work13991410Qwen3.5-35B-A3B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
MMLU Pro78.7%Not measuredOnly o3 Mini measured
LegalBench (Vals AI)71.5%Not measuredOnly o3 Mini measured
CorpFin (Vals AI)45.3%Not measuredOnly o3 Mini measured
TaxEval (Vals AI)69.4%Not measuredOnly o3 Mini measured
MedQA (Vals AI)94.8%Not measuredOnly o3 Mini measured
MMLU Pro (Artificial Analysis run)80.2%Not measuredOnly o3 Mini measured
SimpleQA Verified15.3%Not measuredOnly o3 Mini measured
LMArena Text: science13391413Qwen3.5-35B-A3B
LMArena Text: medicine and healthcare13301421Qwen3.5-35B-A3B
LMArena Text: legal and government13281399Qwen3.5-35B-A3B
LMArena Text: business and finance13131394Qwen3.5-35B-A3B
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 MiniQwen3.5-35B-A3BLeader
IFBench67.1%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)43.0%72.0%Qwen3.5-35B-A3B
DTBench68.8%80.0%Qwen3.5-35B-A3B
LMCA19.0%29.5%Qwen3.5-35B-A3B
Fiction.LiveBench50.0%Not measuredOnly o3 Mini measured
Creative writing (Lech Mazur)61.7%Not measuredOnly o3 Mini measured
LMArena Text13371395Qwen3.5-35B-A3B
LMArena Text: instruction following13371379Qwen3.5-35B-A3B
LMArena Text: creative writing12861347Qwen3.5-35B-A3B
LMArena Text: English13511407Qwen3.5-35B-A3B
LMArena Text: non-English13191378Qwen3.5-35B-A3B
LMArena Text: Chinese13791457Qwen3.5-35B-A3B
LMArena Text: German13031367Qwen3.5-35B-A3B
LMArena Text: Japanese12861326Qwen3.5-35B-A3B
LMArena Text: Korean13131355Qwen3.5-35B-A3B
LMArena Text: French13341412Qwen3.5-35B-A3B
LMArena Text: Spanish13211390Qwen3.5-35B-A3B
LMArena Text: Russian13041376Qwen3.5-35B-A3B
LMArena Text: Polish12941385Qwen3.5-35B-A3B
LMArena Text: multi-turn13201390Qwen3.5-35B-A3B
LMArena Text: longer queries13431389Qwen3.5-35B-A3B
LMArena Text: writing and language13131365Qwen3.5-35B-A3B
LMArena Text: entertainment and media12831347Qwen3.5-35B-A3B
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 o3 Mini and Qwen3.5-35B-A3B
Benchmarko3 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

o3 Mini$0.0033Fits in one request
Qwen3.5-35B-A3B$0.0008Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

o3 Mini$0.068Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

o3 Mini$0.264Exceeds the context window
Qwen3.5-35B-A3B$0.045Fits 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 o3 Mini and Qwen3.5-35B-A3B
SpecificationOpenAI o3 MiniQwen3.5-35B-A3B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedJanuary 31, 2025February 25, 2026
Context window200K262K
Input $/Mtok$1.10$0.1625
Output $/Mtok$4.40$1.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o3 Mini better than Qwen3.5-35B-A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick o3 Mini for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, o3 Mini or Qwen3.5-35B-A3B?

o3 Mini costs $1.10 per million input tokens and $4.40 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for neither of them.

Which has the bigger context window, o3 Mini or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B, with 262K tokens against 200K.

How many benchmarks is the o3 Mini vs Qwen3.5-35B-A3B comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. o3 Mini's coding index rests on 0 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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