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GPT-5.4 Mini vs Qwen3.5-Flash

Updated October 21, 2026. 52 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.4 Mini Replace Qwen3.5-Flash
GPT-5.4 MiniOpenAI
Coding
28.2
Overall
24.1
Output $/M
$4.50
43
Qwen3.5-FlashQwen
Coding
6.2
Overall
No data
Output $/M
$0.26
9
vs boards won of 52 shared

Decision reading

Pick GPT-5.4 Mini for coding: it scores 28.2 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash.

Pick Qwen3.5-Flash when output tokens cost 17.3x less, or when a solved task costs $0.40 against $0.70.

Model AGPT-5.4 MiniOpenAI28.2/1001 independent benchmark$0.70 per solved taskModel BQwen3.5-FlashQwen6.2/1001 independent benchmark$0.40 per solved task
Shared results
52
GPT-5.4 Mini only
36
Qwen3.5-Flash only
3
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
GPT-5.4 Mini 28.2 from 1 benchmark, Qwen3.5-Flash 6.2 from 1 benchmark.
Widest category
Coding, 14.8 points apart on average over 8 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-5.4 Mini 51.2% against Qwen3.5-Flash 18.2%, 33.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Qwen3.5-Flash $0.26 per million output tokens, 17.3x apart.
Context window
GPT-5.4 Mini takes 400K tokens, Qwen3.5-Flash 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
CategoryGPT-5.4 MiniBarsQwen3.5-FlashTies
Coding71
Intelligence10
Reasoning62
Math50
Knowledge55
General191
All shared boards439
CodingLike-for-likeFour of these boards feed the Vibe Coding Index71
Coding benchmarks for GPT-5.4 Mini and Qwen3.5-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
LMArena WebDev13971244GPT-5.4 Mini
AA Coding Index56.1Not measuredOnly GPT-5.4 Mini measured
LiveCodeBench (Vals AI)81.5%83.3%Qwen3.5-Flash
SWE-bench Verified (Vals AI)73.0%64.4%GPT-5.4 Mini
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%Not measuredOnly GPT-5.4 Mini measured
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6265.9GPT-5.4 Mini
LMArena Text: coding14381412GPT-5.4 Mini
LMArena Text: software and IT14361416GPT-5.4 Mini
LMArena WebDev: React13861229GPT-5.4 Mini
LMArena WebDev: HTML14191291GPT-5.4 Mini
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 Mini and Qwen3.5-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
AA Intelligence Index24.1Not measuredOnly GPT-5.4 Mini measured
Epoch Capabilities Index148.7143.5GPT-5.4 Mini
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for GPT-5.4 Mini and Qwen3.5-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
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%Not measuredOnly GPT-5.4 Mini measured
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index62
Reasoning benchmarks for GPT-5.4 Mini and Qwen3.5-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
GPQA Diamond83.1%82.8%GPT-5.4 Mini
MMMU Pro (Vals AI)79.3%81.9%Qwen3.5-Flash
GPQA Diamond (Artificial Analysis run)87.5%Not measuredOnly GPT-5.4 Mini measured
Humanity's Last Exam (Artificial Analysis run)28.1%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Epoch AI run)86.9%82.3%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%14.0%GPT-5.4 Mini
Mystery game puzzles11.0%20.0%Qwen3.5-Flash
LMArena Text: hard prompts14241403GPT-5.4 Mini
LMArena Text: expert14351407GPT-5.4 Mini
LMArena Text: hard prompts in English14201409GPT-5.4 Mini
LMArena Vision: diagrams1266Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: homework1285Not 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 index50
Math benchmarks for GPT-5.4 Mini and Qwen3.5-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
AIME95.6%92.5%GPT-5.4 Mini
OTIS Mock AIME88.9%84.4%GPT-5.4 Mini
FrontierMath, tiers 1 to 351.2%18.2%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: math14181407GPT-5.4 Mini
LMArena Text: mathematical work14291413GPT-5.4 Mini
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index55
Knowledge benchmarks for GPT-5.4 Mini and Qwen3.5-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
MMLU Pro84.5%84.1%GPT-5.4 Mini
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)51.7%56.0%Qwen3.5-Flash
CorpFin (Vals AI)60.9%63.6%Qwen3.5-Flash
TaxEval (Vals AI)71.2%72.2%Qwen3.5-Flash
MortgageTax (Vals AI)63.5%67.4%Qwen3.5-Flash
MedCode (Vals AI)Not measured33.0%Only Qwen3.5-Flash measured
SimpleQA Verified29.4%20.3%GPT-5.4 Mini
LMArena Text: science14171415GPT-5.4 Mini
LMArena Text: medicine and healthcare13951407Qwen3.5-Flash
LMArena Text: legal and government14141398GPT-5.4 Mini
LMArena Text: business and finance14181394GPT-5.4 Mini
Neither model has a result on the other 5 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-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for GPT-5.4 Mini and Qwen3.5-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
SAGE (Vals AI)50.8%42.5%GPT-5.4 Mini
MedScribe (Vals AI)Not measured70.6%Only Qwen3.5-Flash measured
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%Not measuredOnly GPT-5.4 Mini measured
Long context reasoning (AA-LCR)77.0%Not measuredOnly GPT-5.4 Mini measured
DTBench80.0%82.9%Qwen3.5-Flash
LMCA40.8%29.1%GPT-5.4 Mini
LMArena Text14121397GPT-5.4 Mini
LMArena Text: instruction following14051374GPT-5.4 Mini
LMArena Text: creative writing13701343GPT-5.4 Mini
LMArena Vision1245Not measuredOnly GPT-5.4 Mini measured
LMArena Text: English14121404GPT-5.4 Mini
LMArena Text: non-English14051385GPT-5.4 Mini
LMArena Text: Chinese14461445GPT-5.4 Mini
LMArena Text: German14081390GPT-5.4 Mini
LMArena Text: Japanese13751369GPT-5.4 Mini
LMArena Text: Korean13701344GPT-5.4 Mini
LMArena Text: French14411413GPT-5.4 Mini
LMArena Text: Spanish14051400GPT-5.4 Mini
LMArena Text: Russian14171380GPT-5.4 Mini
LMArena Text: Polish14151376GPT-5.4 Mini
LMArena Text: multi-turn14291393GPT-5.4 Mini
LMArena Text: longer queries14081392GPT-5.4 Mini
LMArena Text: writing and language13931369GPT-5.4 Mini
LMArena Text: entertainment and media13731347GPT-5.4 Mini
LMArena Vision: English1244Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: Chinese1286Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: reading text1253Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: humor1235Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing1222Not measuredOnly GPT-5.4 Mini measured
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-Flash
BenchmarkGPT-5.4 MiniQwen3.5-FlashLeader
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-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-Flash 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-Flash
SpecificationOpenAI GPT-5.4 MiniQwen3.5-Flash
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026February 25, 2026
Context window400K1M
Input $/Mtok$0.75$0.065
Output $/Mtok$4.50$0.26
Coding index28.26.2
Independent measurements behind it11
Cost per solved task$0.70$0.40
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 Mini for coding: it scores 28.2 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash. Pick Qwen3.5-Flash when output tokens cost 17.3x less, or when a solved task costs $0.40 against $0.70.

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

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Qwen3.5-Flash $0.40.

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

Qwen3.5-Flash, with 1M tokens against 400K.

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

52 benchmarks have a result for both models as of October 21, 2026. GPT-5.4 Mini's coding index rests on 1 independent benchmark and Qwen3.5-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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