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o3 Mini vs Qwen3.8 27B

Updated October 21, 2026. 43 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace o3 Mini Replace Qwen3.8 27B
o3 MiniOpenAI
Coding
52.1
Overall
12.5
Output $/M
$4.40
0
Qwen3.8 27BQwen
Coding
73.6
Overall
33.7
Output $/M
$1.35
43
vs boards won of 43 shared

Decision reading

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 52.1 for o3 Mini.

o3 Mini is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model Ao3 MiniOpenAI52.1/1002 independent benchmarksNo cost per solved taskModel BQwen3.8 27BQwen73.6/1002 independent benchmarks$1.26 per solved task
Shared results
43
o3 Mini only
27
Qwen3.8 27B only
42
Like-for-like categories
6 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
o3 Mini 52.1 from 2 benchmarks, Qwen3.8 27B 73.6 from 2 benchmarks.
Widest category
Reasoning, 23.7 points apart on average over 8 shared benchmarks.
Widest single gap
ARC-AGI: o3 Mini 34.5% against Qwen3.8 27B 87.5%, 53.0 points apart on a 0 to 100 scale.
Output price
o3 Mini $4.40 against Qwen3.8 27B $1.35 per million output tokens, 3.3x apart.
Context window
o3 Mini takes 200K tokens, Qwen3.8 27B 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
Categoryo3 MiniBarsQwen3.8 27BTies
Coding04
Intelligence02
Reasoning08
Math02
Knowledge07
General020
All shared boards043
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
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
LiveBench codingNot measured86.8%Only Qwen3.8 27B measured
LMArena WebDevNot measured1593Only Qwen3.8 27B measured
AA Coding IndexNot measured68.1Only Qwen3.8 27B measured
LiveCodeBench (Vals AI)71.5%84.0%Qwen3.8 27B
SWE-bench Verified (Vals AI)Not measured86.0%Only Qwen3.8 27B measured
Vibe Code Bench (Vals AI)Not measured64.8%Only Qwen3.8 27B measured
Code migration (Vals AI)Not measured14.2%Only Qwen3.8 27B measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
IOI (Vals AI)Not measured39.1%Only Qwen3.8 27B measured
Terminal-Bench 2.1 (Vals AI)Not measured58.4%Only Qwen3.8 27B measured
SkillsBench (Vals AI)Not measured38.1%Only Qwen3.8 27B measured
CyberBench (Vals AI)Not measured67.8%Only Qwen3.8 27B measured
LiveCodeBench (Artificial Analysis run)73.4%Not measuredOnly o3 Mini measured
SciCode42.8%46.6%Qwen3.8 27B
Terminal-Bench Hard (Artificial Analysis run)6.8%Not measuredOnly o3 Mini measured
GSO-Bench1.3%Not measuredOnly o3 Mini measured
WeirdML43.7%Not measuredOnly o3 Mini measured
Cybench22.5%Not measuredOnly o3 Mini measured
LMArena Text: coding13781483Qwen3.8 27B
LMArena Text: software and IT13641478Qwen3.8 27B
LMArena WebDev: ReactNot measured1602Only Qwen3.8 27B measured
LMArena WebDev: HTMLNot measured1570Only Qwen3.8 27B measured
LMArena WebDev: from an imageNot measured1577Only Qwen3.8 27B measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
AA Intelligence Index12.533.7Qwen3.8 27B
Epoch Capabilities Index140.2151.7Qwen3.8 27B
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
AA Agentic IndexNot measured45.8Only Qwen3.8 27B measured
LiveBench researchNot measured59.4%Only Qwen3.8 27B measured
LiveBench browserNot measured32.0%Only Qwen3.8 27B measured
LiveBench long agenticNot measured27.9%Only Qwen3.8 27B measured
Finance Agent (Vals AI)Not measured48.5%Only Qwen3.8 27B measured
Tax Agent Bench (Vals AI)Not measured30.9%Only Qwen3.8 27B measured
Legal Research Bench (Vals AI)Not measured36.1%Only Qwen3.8 27B measured
Excel Modeling Benchmark (Vals AI)Not measured59.7%Only Qwen3.8 27B measured
Terminal-Bench-Science (Vals AI)Not measured0.0%Only Qwen3.8 27B measured
τ²-Bench Telecom31.3%Not measuredOnly o3 Mini measured
APEX-AgentsNot measured47.5%Only Qwen3.8 27B measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
GPQA Diamond75.5%88.9%Qwen3.8 27B
LiveBench reasoningNot measured80.0%Only Qwen3.8 27B measured
MMMU Pro (Vals AI)Not measured83.9%Only Qwen3.8 27B measured
GPQA Diamond (Artificial Analysis run)77.3%90.5%Qwen3.8 27B
Humanity's Last Exam (Artificial Analysis run)12.0%33.9%Qwen3.8 27B
GPQA Diamond (Epoch AI run)77.0%Not measuredOnly o3 Mini measured
ARC-AGI34.5%87.5%Qwen3.8 27B
ARC-AGI-23.0%42.4%Qwen3.8 27B
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 prompts13651459Qwen3.8 27B
LMArena Text: expert13641479Qwen3.8 27B
LMArena Text: hard prompts in English13751461Qwen3.8 27B
LMArena Vision: diagramsNot measured1285Only Qwen3.8 27B measured
LMArena Vision: homeworkNot measured1295Only Qwen3.8 27B measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
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%Not measuredOnly o3 Mini measured
FrontierMath, tiers 1 to 318.6%Not measuredOnly o3 Mini measured
FrontierMath, tier 40.0%Not measuredOnly o3 Mini measured
ProofBenchNot measured16.0%Only Qwen3.8 27B measured
MATH level 596.5%Not measuredOnly o3 Mini measured
LMArena Text: math13961455Qwen3.8 27B
LMArena Text: mathematical work13991458Qwen3.8 27B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
Knowledge benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
MMLU Pro78.7%84.3%Qwen3.8 27B
LegalBench (Vals AI)71.5%82.4%Qwen3.8 27B
CorpFin (Vals AI)45.3%Not measuredOnly o3 Mini measured
TaxEval (Vals AI)69.4%70.8%Qwen3.8 27B
MortgageTax (Vals AI)Not measured64.9%Only Qwen3.8 27B measured
MedQA (Vals AI)94.8%Not measuredOnly o3 Mini measured
MedCode (Vals AI)Not measured28.7%Only Qwen3.8 27B measured
MMLU Pro (Artificial Analysis run)80.2%Not measuredOnly o3 Mini measured
SimpleQA Verified15.3%Not measuredOnly o3 Mini measured
LMArena Text: science13391467Qwen3.8 27B
LMArena Text: medicine and healthcare13301437Qwen3.8 27B
LMArena Text: legal and government13281447Qwen3.8 27B
LMArena Text: business and finance13131438Qwen3.8 27B
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
LiveBench designNot measured75.9%Only Qwen3.8 27B measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
LiveBench data analysisNot measured76.6%Only Qwen3.8 27B measured
SAGE (Vals AI)Not measured52.4%Only Qwen3.8 27B measured
MedScribe (Vals AI)Not measured83.8%Only Qwen3.8 27B measured
IFBench67.1%Not measuredOnly o3 Mini measured
Long context reasoning (AA-LCR)43.0%82.0%Qwen3.8 27B
DTBench68.8%88.0%Qwen3.8 27B
LMCA19.0%41.4%Qwen3.8 27B
Fiction.LiveBench50.0%Not measuredOnly o3 Mini measured
Creative writing (Lech Mazur)61.7%Not measuredOnly o3 Mini measured
Surface Evolver BenchNot measured45.0%Only Qwen3.8 27B measured
LMArena Text13371440Qwen3.8 27B
LMArena Text: instruction following13371436Qwen3.8 27B
LMArena Text: creative writing12861383Qwen3.8 27B
LMArena VisionNot measured1269Only Qwen3.8 27B measured
LMArena Text: English13511448Qwen3.8 27B
LMArena Text: non-English13191428Qwen3.8 27B
LMArena Text: Chinese13791501Qwen3.8 27B
LMArena Text: German13031443Qwen3.8 27B
LMArena Text: Japanese12861387Qwen3.8 27B
LMArena Text: Korean13131384Qwen3.8 27B
LMArena Text: French13341465Qwen3.8 27B
LMArena Text: Spanish13211449Qwen3.8 27B
LMArena Text: Russian13041415Qwen3.8 27B
LMArena Text: Polish12941439Qwen3.8 27B
LMArena Text: multi-turn13201440Qwen3.8 27B
LMArena Text: longer queries13431448Qwen3.8 27B
LMArena Text: writing and language13131405Qwen3.8 27B
LMArena Text: entertainment and media12831393Qwen3.8 27B
LMArena Vision: EnglishNot measured1267Only Qwen3.8 27B measured
LMArena Vision: ChineseNot measured1326Only Qwen3.8 27B measured
LMArena Vision: reading textNot measured1281Only Qwen3.8 27B measured
LMArena Vision: humorNot measured1235Only Qwen3.8 27B measured
LMArena Vision: creative writingNot measured1237Only Qwen3.8 27B measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for o3 Mini and Qwen3.8 27B
Benchmarko3 MiniQwen3.8 27BLeader
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
Qwen3.8 27B$0.0007Fits in one request

Qwen3.8 27B costs less

Repository review

50K input + 3K output tokens

o3 Mini$0.068Fits in one request
Qwen3.8 27B$0.0060Fits in one request

Qwen3.8 27B costs less

Agent loop

200K input + 10K output tokens

o3 Mini$0.264Exceeds the context window
Qwen3.8 27B$0.021Fits in one request

Qwen3.8 27B 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 Qwen3.8 27B
SpecificationOpenAI o3 MiniQwen3.8 27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedJanuary 31, 2025August 14, 2026
Context window200K1M
Input $/Mtok$1.10$0.04
Output $/Mtok$4.40$1.35
Coding index52.173.6
Independent measurements behind it22
Cost per solved taskNot computable$1.26
SourceOpenRouter listingOpenRouter listing

Questions

Is o3 Mini better than Qwen3.8 27B for coding?

Pick Qwen3.8 27B for coding: it scores 73.6 on the Vibe Coding Index against 52.1 for o3 Mini. o3 Mini is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, o3 Mini or Qwen3.8 27B?

o3 Mini costs $1.10 per million input tokens and $4.40 per million output tokens; Qwen3.8 27B costs $0.04 and $1.35. Cost per solved task is known for Qwen3.8 27B only.

Which has the bigger context window, o3 Mini or Qwen3.8 27B?

Qwen3.8 27B, with 1M tokens against 200K.

How many benchmarks is the o3 Mini vs Qwen3.8 27B comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. o3 Mini's coding index rests on 2 independent benchmarks and Qwen3.8 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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