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GPT-5.4 Mini vs Qwen3.5-27B

GPT-5.4 Mini leads Qwen3.5-27B on the Artificial Analysis Intelligence Index, 24.1 to 22.9, and Qwen3.5-27B costs 2.9x less per output token ($1.56 vs $4.50 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace GPT-5.4 Mini Replace Qwen3.5-27B
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
35
Qwen3.5-27BQwen
Coding
No data
Overall
No data
Output $/M
$1.56
16
vs boards won of 51 shared

GPT-5.4 Mini or Qwen3.5-27B: which to pick

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-27B for output tokens 2.9x cheaper ($1.56 vs $4.50 per million) and work measured by τ²-Bench Telecom or LMArena Text: hard prompts in English, where it leads.

Model AGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved taskModel BQwen3.5-27BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
51
GPT-5.4 Mini only
39
Qwen3.5-27B only
3
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
GPT-5.4 Mini 35.8 from 5 benchmarks, Qwen3.5-27B not benchmarked.
Widest category
Coding, 11.1 points apart on average over 8 shared benchmarks.
Widest single gap
ALE-Bench: GPT-5.4 Mini 1188.6 against Qwen3.5-27B 349.4, 28.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Qwen3.5-27B $1.56 per million output tokens, 2.9x apart.
Context window
GPT-5.4 Mini takes 400K tokens, Qwen3.5-27B 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-5.4 MiniBarsQwen3.5-27BTies
Coding80
Intelligence10
Agentic work01
Reasoning61
Math02
Knowledge22
General1810
All shared boards3516
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
LMArena WebDev13971358GPT-5.4 Mini
AA Coding Index56.1Not measuredOnly GPT-5.4 Mini measured
LiveCodeBench (Vals AI)81.5%Not measuredOnly GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)73.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%Not measuredOnly GPT-5.4 Mini measured
Code migration (Vals AI)12.9%Not measuredOnly GPT-5.4 Mini measured
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly GPT-5.4 Mini measured
SciCode52.1%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)52.3%32.6%GPT-5.4 Mini
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%39.5%GPT-5.4 Mini
ALE-Bench1188.6349.4GPT-5.4 Mini
LMArena Text: coding14381427GPT-5.4 Mini
LMArena Text: software and IT14361431GPT-5.4 Mini
LMArena WebDev: React13861346GPT-5.4 Mini
LMArena WebDev: HTML14191386GPT-5.4 Mini
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
AA Intelligence Index24.122.9GPT-5.4 Mini
Epoch Capabilities Index148.7Not measuredOnly GPT-5.4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
AA Agentic Index17.9Not measuredOnly GPT-5.4 Mini measured
Finance Agent (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)8.8%Not measuredOnly GPT-5.4 Mini measured
Legal Research Bench (Vals AI)12.5%Not measuredOnly GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
τ²-Bench Telecom83.3%93.9%Qwen3.5-27B
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Vending-Bench 2Not measured$202Only Qwen3.5-27B measured
MCP Atlas56.7%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index61
Reasoning benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
GPQA Diamond83.1%Not measuredOnly GPT-5.4 Mini measured
MMMU Pro (Vals AI)79.3%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)87.5%85.8%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)28.1%23.9%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)86.9%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI63.7%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI-218.9%Not measuredOnly GPT-5.4 Mini measured
Chess puzzles23.0%Not measuredOnly GPT-5.4 Mini measured
Mystery game puzzles11.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts14241415GPT-5.4 Mini
LMArena Text: expert14351427GPT-5.4 Mini
LMArena Text: hard prompts in English14201429Qwen3.5-27B
LMArena Vision: diagrams12661249GPT-5.4 Mini
LMArena Vision: homework12851256GPT-5.4 Mini
Kagi LLM Benchmark37.9%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
AIME95.6%Not measuredOnly GPT-5.4 Mini measured
OTIS Mock AIME88.9%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tiers 1 to 351.2%Not measuredOnly GPT-5.4 Mini measured
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: math14181429Qwen3.5-27B
LMArena Text: mathematical work14291429Qwen3.5-27B
MathArenaNot measured15.8%Only Qwen3.5-27B measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
MMLU Pro84.5%Not measuredOnly GPT-5.4 Mini measured
CaseLaw (Vals AI)51.7%Not measuredOnly GPT-5.4 Mini measured
CorpFin (Vals AI)60.9%Not measuredOnly GPT-5.4 Mini measured
TaxEval (Vals AI)71.2%Not measuredOnly GPT-5.4 Mini measured
MortgageTax (Vals AI)63.5%Not measuredOnly GPT-5.4 Mini measured
SimpleQA Verified29.4%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: science14171437Qwen3.5-27B
LMArena Text: medicine and healthcare13951425Qwen3.5-27B
LMArena Text: legal and government14141405GPT-5.4 Mini
LMArena Text: business and finance14181399GPT-5.4 Mini
Neither model has a result on the other 10 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1810
General benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
SAGE (Vals AI)50.8%Not measuredOnly GPT-5.4 Mini measured
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%75.6%Qwen3.5-27B
Long context reasoning (AA-LCR)77.0%77.7%Qwen3.5-27B
DTBench80.0%82.4%Qwen3.5-27B
LMCA40.8%34.0%GPT-5.4 Mini
LMArena Text14121409GPT-5.4 Mini
LMArena Text: instruction following14051393GPT-5.4 Mini
LMArena Text: creative writing13701362GPT-5.4 Mini
LMArena Vision12451241GPT-5.4 Mini
LMArena Text: English14121425Qwen3.5-27B
LMArena Text: non-English14051390GPT-5.4 Mini
LMArena Text: Chinese14461478Qwen3.5-27B
LMArena Text: German14081392GPT-5.4 Mini
LMArena Text: Japanese13751346GPT-5.4 Mini
LMArena Text: Korean13701359GPT-5.4 Mini
LMArena Text: French14411410GPT-5.4 Mini
LMArena Text: Spanish14051407Qwen3.5-27B
LMArena Text: Russian14171390GPT-5.4 Mini
LMArena Text: Polish14151375GPT-5.4 Mini
LMArena Text: multi-turn14291410GPT-5.4 Mini
LMArena Text: longer queries14081413Qwen3.5-27B
LMArena Text: writing and language13931380GPT-5.4 Mini
LMArena Text: entertainment and media13731363GPT-5.4 Mini
LMArena Vision: English12441246Qwen3.5-27B
LMArena Vision: Chinese12861301Qwen3.5-27B
LMArena Vision: reading text12531246GPT-5.4 Mini
LMArena Vision: humor12351227GPT-5.4 Mini
LMArena Vision: captioningNot measured1170Only Qwen3.5-27B measured
LMArena Vision: recognizing things12181210GPT-5.4 Mini
LMArena Vision: creative writing12221224Qwen3.5-27B
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Mini and Qwen3.5-27B
BenchmarkGPT-5.4 MiniQwen3.5-27BLeader
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

GPT-5.4 Mini$0.0030Fits in one request
Qwen3.5-27B$0.0010Fits in one request

Qwen3.5-27B costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Qwen3.5-27B$0.014Fits in one request

Qwen3.5-27B costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Qwen3.5-27B$0.055Fits in one request

Qwen3.5-27B 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 GPT-5.4 Mini and Qwen3.5-27B
SpecificationOpenAI GPT-5.4 MiniQwen3.5-27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026February 25, 2026
Context window400K262K
Input $/Mtok$0.75$0.195
Output $/Mtok$4.50$1.56
Coding index35.8Not benchmarked
Independent measurements behind it51
Cost per solved task$0.70Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than Qwen3.5-27B for coding?

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Qwen3.5-27B has none, so the two cannot be ranked on coding. Pick Qwen3.5-27B for output tokens 2.9x cheaper ($1.56 vs $4.50 per million) and work measured by τ²-Bench Telecom or LMArena Text: hard prompts in English, where it leads.

Which is cheaper, GPT-5.4 Mini or Qwen3.5-27B?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Qwen3.5-27B costs $0.195 and $1.56. Cost per solved task is known for GPT-5.4 Mini only.

Which has the bigger context window, GPT-5.4 Mini or Qwen3.5-27B?

GPT-5.4 Mini, with 400K tokens against 262K.

How many benchmarks is the GPT-5.4 Mini vs Qwen3.5-27B comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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