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GPT-5.4 Mini vs Qwen3.5 397B A17B

GPT-5.4 Mini leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 24.1 to 21.4, and Qwen3.5 397B A17B costs 1.9x less per output token ($2.34 vs $4.50 per million). Updated October 22, 2026; 56 benchmarks have a result for both.

Replace GPT-5.4 Mini Replace Qwen3.5 397B A17B
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
9
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
46
vs boards won of 56 shared, 1 tied

GPT-5.4 Mini or Qwen3.5 397B A17B: which to pick

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for output tokens 1.9x cheaper ($2.34 vs $4.50 per million) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Model AGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved taskModel BQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
56
GPT-5.4 Mini only
33
Qwen3.5 397B A17B only
9
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 397B A17B not benchmarked.
Widest category
Agentic work, 12.3 points apart on average over 1 shared benchmark.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-5.4 Mini 51.2% against Qwen3.5 397B A17B 31.2%, 20.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.9x apart.
Context window
GPT-5.4 Mini takes 400K tokens, Qwen3.5 397B A17B 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 397B A17BTies
Coding44
Intelligence20
Agentic work01
Reasoning18
Math121 tie
Knowledge04
General127
All shared boards9461 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index44
Coding benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
LMArena WebDev13971400Qwen3.5 397B A17B
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%44.8%GPT-5.4 Mini
Terminal-Bench Hard (Artificial Analysis run)52.3%40.9%GPT-5.4 Mini
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6621.9GPT-5.4 Mini
LMArena Text: coding14381464Qwen3.5 397B A17B
LMArena Text: software and IT14361463Qwen3.5 397B A17B
LMArena WebDev: React13861388Qwen3.5 397B A17B
LMArena WebDev: HTML14191410GPT-5.4 Mini
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
AA Intelligence Index24.121.4GPT-5.4 Mini
Epoch Capabilities Index148.7146.8GPT-5.4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
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%95.6%Qwen3.5 397B A17B
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B measured
DeepResearch Bench36.3%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 index18
Reasoning benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
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%89.3%Qwen3.5 397B A17B
Humanity's Last Exam (Artificial Analysis run)28.1%29.0%Qwen3.5 397B A17B
GPQA Diamond (Epoch AI run)86.9%86.4%GPT-5.4 Mini
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%18.0%Qwen3.5 397B A17B
LMArena Text: hard prompts14241448Qwen3.5 397B A17B
LMArena Text: expert14351462Qwen3.5 397B A17B
LMArena Text: hard prompts in English14201450Qwen3.5 397B A17B
LMArena Vision: diagrams12661277Qwen3.5 397B A17B
LMArena Vision: homework12851292Qwen3.5 397B A17B
Kagi LLM Benchmark37.9%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
AIME95.6%Not measuredOnly GPT-5.4 Mini measured
OTIS Mock AIME88.9%88.9%Tie
FrontierMath, tiers 1 to 351.2%31.2%GPT-5.4 Mini
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: math14181453Qwen3.5 397B A17B
LMArena Text: mathematical work14291454Qwen3.5 397B A17B
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
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: science14171457Qwen3.5 397B A17B
LMArena Text: medicine and healthcare13951455Qwen3.5 397B A17B
LMArena Text: legal and government14141441Qwen3.5 397B A17B
LMArena Text: business and finance14181435Qwen3.5 397B A17B
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
Design Arena: websitesNot measured1190Only Qwen3.5 397B A17B measured
Design Arena: UI componentsNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: game devNot measured1140Only Qwen3.5 397B A17B measured
Design Arena: data vizNot measured1175Only Qwen3.5 397B A17B measured
Design Arena: 3DNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: all code categoriesNot measured1179Only Qwen3.5 397B A17B measured
Design Arena: SVGNot measured1139Only Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index127
General benchmarks for GPT-5.4 Mini and Qwen3.5 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
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%78.8%Qwen3.5 397B A17B
Long context reasoning (AA-LCR)77.0%77.3%Qwen3.5 397B A17B
DTBench80.0%87.5%Qwen3.5 397B A17B
LMCA40.8%37.9%GPT-5.4 Mini
LMArena Text14121437Qwen3.5 397B A17B
LMArena Text: instruction following14051424Qwen3.5 397B A17B
LMArena Text: creative writing13701402Qwen3.5 397B A17B
LMArena Vision12451262Qwen3.5 397B A17B
LMArena Text: English14121443Qwen3.5 397B A17B
LMArena Text: non-English14051430Qwen3.5 397B A17B
LMArena Text: Chinese14461498Qwen3.5 397B A17B
LMArena Text: German14081445Qwen3.5 397B A17B
LMArena Text: Japanese13751429Qwen3.5 397B A17B
LMArena Text: Korean13701384Qwen3.5 397B A17B
LMArena Text: French14411462Qwen3.5 397B A17B
LMArena Text: Spanish14051441Qwen3.5 397B A17B
LMArena Text: Russian14171430Qwen3.5 397B A17B
LMArena Text: Polish14151447Qwen3.5 397B A17B
LMArena Text: multi-turn14291446Qwen3.5 397B A17B
LMArena Text: longer queries14081441Qwen3.5 397B A17B
LMArena Text: writing and language13931415Qwen3.5 397B A17B
LMArena Text: entertainment and media13731399Qwen3.5 397B A17B
LMArena Vision: English12441268Qwen3.5 397B A17B
LMArena Vision: Chinese12861314Qwen3.5 397B A17B
LMArena Vision: reading text12531271Qwen3.5 397B A17B
LMArena Vision: humor12351262Qwen3.5 397B A17B
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing things12181265Qwen3.5 397B A17B
LMArena Vision: creative writing12221260Qwen3.5 397B A17B
Neither model has a result on the other 15 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 397B A17B
BenchmarkGPT-5.4 MiniQwen3.5 397B A17BLeader
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 397B A17B$0.0016Fits in one request

Qwen3.5 397B A17B costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Qwen3.5 397B A17B costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Qwen3.5 397B A17B$0.101Fits in one request

Qwen3.5 397B A17B 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 397B A17B
SpecificationOpenAI GPT-5.4 MiniQwen3.5 397B A17B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026February 16, 2026
Context window400K262K
Input $/Mtok$0.75$0.39
Output $/Mtok$4.50$2.34
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 397B A17B for coding?

Only GPT-5.4 Mini has a coding score, 35.8 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for output tokens 1.9x cheaper ($2.34 vs $4.50 per million) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Which is cheaper, GPT-5.4 Mini or Qwen3.5 397B A17B?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. 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 397B A17B?

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

How many benchmarks is the GPT-5.4 Mini vs Qwen3.5 397B A17B comparison based on?

56 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 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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