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GPT-5.4 vs Qwen3.5-Flash

GPT-5.4 leads Qwen3.5-Flash on coding, 64.4 to 41.1 on the Vibe Coding Index, and Qwen3.5-Flash costs 57.7x less per output token ($0.26 vs $15.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Replace GPT-5.4 Replace Qwen3.5-Flash
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
55
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
0
vs boards won of 55 shared

GPT-5.4 or Qwen3.5-Flash: which to pick

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash.

Pick Qwen3.5-Flash for output tokens 57.7x cheaper ($0.26 vs $15.00 per million) and a lower cost per solved task ($0.40 against $1.02).

Model AGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
55
GPT-5.4 only
63
Qwen3.5-Flash only
0
Like-for-like categories
6 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 64.4 from 3 benchmarks, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
Coding, 23.3 points apart on average over 8 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-5.4 78.6% against Qwen3.5-Flash 18.2%, 60.4 points apart on a 0 to 100 scale.
Output price
GPT-5.4 $15.00 against Qwen3.5-Flash $0.26 per million output tokens, 57.7x apart.
Context window
GPT-5.4 takes 1.05M 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-5.4BarsQwen3.5-FlashTies
Coding80
Intelligence10
Reasoning80
Math50
Knowledge120
General210
All shared boards550
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
LMArena WebDev14641244GPT-5.4
AA Coding Index71.1Not measuredOnly GPT-5.4 measured
LiveCodeBench (Vals AI)84.1%83.3%GPT-5.4
SWE-bench Verified (Vals AI)78.2%64.4%GPT-5.4
Vibe Code Bench (Vals AI)67.4%Not measuredOnly GPT-5.4 measured
Code migration (Vals AI)35.0%Not measuredOnly GPT-5.4 measured
ProgramBench (Vals AI)0.5%Not measuredOnly GPT-5.4 measured
SkillsBench (Vals AI)51.7%Not measuredOnly GPT-5.4 measured
Terminal-Bench Hard (Artificial Analysis run)57.6%Not measuredOnly GPT-5.4 measured
Terminal-Bench81.8%Not measuredOnly GPT-5.4 measured
GSO-Bench31.4%Not measuredOnly GPT-5.4 measured
WeirdML77.7%Not measuredOnly GPT-5.4 measured
MirrorCode15.6%Not measuredOnly GPT-5.4 measured
ALE-Bench1607.0265.9GPT-5.4
LMArena Text: coding14961412GPT-5.4
LMArena Text: software and IT14911416GPT-5.4
LMArena WebDev: React14541229GPT-5.4
LMArena WebDev: HTML14781291GPT-5.4
LMArena WebDev: from an image1436Not measuredOnly GPT-5.4 measured
SWE Atlas: Codebase QnA40.8%Not measuredOnly GPT-5.4 measured
SWE Atlas: Refactoring44.3%Not measuredOnly GPT-5.4 measured
SWE Atlas: Test Writing44.4%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
AA Intelligence Index39.0Not measuredOnly GPT-5.4 measured
Epoch Capabilities Index157.3143.5GPT-5.4
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
Design Arena: agents building web apps1059Not measuredOnly GPT-5.4 measured
Design Arena: agents building full-stack apps1017Not measuredOnly GPT-5.4 measured
Design Arena: agents building mobile apps1086Not measuredOnly GPT-5.4 measured
Design Arena: agents building Android apps1031Not measuredOnly GPT-5.4 measured
Design Arena: agents building Godot games1135Not measuredOnly GPT-5.4 measured
τ²-Bench Telecom87.1%Not measuredOnly GPT-5.4 measured
APEX-Agents52.4%Not measuredOnly GPT-5.4 measured
METR time horizons74.3%Not measuredOnly GPT-5.4 measured
DeepResearch Bench35.1%Not measuredOnly GPT-5.4 measured
PostTrainBench19.0%Not measuredOnly GPT-5.4 measured
Vending-Bench 2$6,144Not measuredOnly GPT-5.4 measured
MCP Atlas70.6%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
GPQA Diamond91.7%82.8%GPT-5.4
MMMU Pro (Vals AI)87.5%81.9%GPT-5.4
GPQA Diamond (Artificial Analysis run)92.0%Not measuredOnly GPT-5.4 measured
Humanity's Last Exam (Artificial Analysis run)43.7%Not measuredOnly GPT-5.4 measured
GPQA Diamond (Epoch AI run)93.3%82.3%GPT-5.4
ARC-AGI93.7%Not measuredOnly GPT-5.4 measured
ARC-AGI-274.0%Not measuredOnly GPT-5.4 measured
Chess puzzles48.0%14.0%GPT-5.4
Mystery game puzzles37.0%20.0%GPT-5.4
EBR-bench25.4%Not measuredOnly GPT-5.4 measured
LMArena Text: hard prompts14851403GPT-5.4
LMArena Text: expert15071407GPT-5.4
LMArena Text: hard prompts in English14791409GPT-5.4
LMArena Vision: diagrams1327Not measuredOnly GPT-5.4 measured
LMArena Vision: homework1336Not measuredOnly GPT-5.4 measured
Kagi LLM Benchmark63.8%Not measuredOnly GPT-5.4 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 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
AIME96.7%92.5%GPT-5.4
OTIS Mock AIME97.8%84.4%GPT-5.4
FrontierMath, tiers 1 to 378.6%18.2%GPT-5.4
FrontierMath, tier 449.0%Not measuredOnly GPT-5.4 measured
ProofBench56.0%Not measuredOnly GPT-5.4 measured
LMArena Text: math14881407GPT-5.4
LMArena Text: mathematical work14971413GPT-5.4
MathArena37.2%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
MMLU Pro87.5%84.1%GPT-5.4
LegalBench (Vals AI)86.0%84.3%GPT-5.4
CaseLaw (Vals AI)63.8%56.0%GPT-5.4
CorpFin (Vals AI)65.3%63.6%GPT-5.4
TaxEval (Vals AI)74.0%72.2%GPT-5.4
MortgageTax (Vals AI)68.3%67.4%GPT-5.4
MedQA (Vals AI)96.1%Not measuredOnly GPT-5.4 measured
MedCode (Vals AI)41.3%33.0%GPT-5.4
SimpleQA Verified45.1%20.3%GPT-5.4
LMArena Text: science14791415GPT-5.4
LMArena Text: medicine and healthcare14581407GPT-5.4
LMArena Text: legal and government14861398GPT-5.4
LMArena Text: business and finance14741394GPT-5.4
PRBench Finance45.6%Not measuredOnly GPT-5.4 measured
PRBench Legal44.4%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
Design Arena: websites1198Not measuredOnly GPT-5.4 measured
Design Arena: UI components1213Not measuredOnly GPT-5.4 measured
Design Arena: game dev1194Not measuredOnly GPT-5.4 measured
Design Arena: data viz1196Not measuredOnly GPT-5.4 measured
Design Arena: 3D1065Not measuredOnly GPT-5.4 measured
Design Arena: all code categories1179Not measuredOnly GPT-5.4 measured
Design Arena: SVG1141Not measuredOnly GPT-5.4 measured
Design Arena: ASCII art1188Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-FlashLeader
SAGE (Vals AI)43.3%42.5%GPT-5.4
MedScribe (Vals AI)77.5%70.6%GPT-5.4
IFBench73.9%Not measuredOnly GPT-5.4 measured
Long context reasoning (AA-LCR)82.0%Not measuredOnly GPT-5.4 measured
DTBench94.4%82.9%GPT-5.4
LMCA52.0%29.1%GPT-5.4
CL-bench27.9%Not measuredOnly GPT-5.4 measured
Furniture assembly37.5%Not measuredOnly GPT-5.4 measured
CL-bench Life21.7%Not measuredOnly GPT-5.4 measured
LMArena Text14691397GPT-5.4
LMArena Text: instruction following14691374GPT-5.4
LMArena Text: creative writing14391343GPT-5.4
LMArena Vision1303Not measuredOnly GPT-5.4 measured
LMArena Text: English14671404GPT-5.4
LMArena Text: non-English14651385GPT-5.4
LMArena Text: Chinese15201445GPT-5.4
LMArena Text: German14721390GPT-5.4
LMArena Text: Japanese14851369GPT-5.4
LMArena Text: Korean14491344GPT-5.4
LMArena Text: French14931413GPT-5.4
LMArena Text: Spanish14521400GPT-5.4
LMArena Text: Russian14801380GPT-5.4
LMArena Text: Polish14721376GPT-5.4
LMArena Text: multi-turn14821393GPT-5.4
LMArena Text: longer queries14731392GPT-5.4
LMArena Text: writing and language14581369GPT-5.4
LMArena Text: entertainment and media14381347GPT-5.4
LMArena Vision: English1301Not measuredOnly GPT-5.4 measured
LMArena Vision: Chinese1354Not measuredOnly GPT-5.4 measured
LMArena Vision: reading text1312Not measuredOnly GPT-5.4 measured
LMArena Vision: humor1284Not measuredOnly GPT-5.4 measured
LMArena Vision: recognizing things1251Not measuredOnly GPT-5.4 measured
LMArena Vision: creative writing1283Not measuredOnly GPT-5.4 measured
LMArena Document1471Not measuredOnly GPT-5.4 measured
EQ-Bench 41272Not measuredOnly GPT-5.4 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 GPT-5.4 and Qwen3.5-Flash
BenchmarkGPT-5.4Qwen3.5-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$0.010Fits 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$0.170Fits 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$0.650Fits 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 and Qwen3.5-Flash
SpecificationOpenAI GPT-5.4Qwen3.5-Flash
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedMarch 5, 2026February 25, 2026
Context window1.05M1M
Input $/Mtok$2.50$0.065
Output $/Mtok$15.00$0.26
Coding index64.441.1
Independent measurements behind it32
Cost per solved task$1.02$0.40
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 41.1 for Qwen3.5-Flash. Pick Qwen3.5-Flash for output tokens 57.7x cheaper ($0.26 vs $15.00 per million) and a lower cost per solved task ($0.40 against $1.02).

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

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, GPT-5.4 costs $1.02 and Qwen3.5-Flash $0.40.

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

GPT-5.4, with 1.05M tokens against 1M.

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

55 benchmarks have a result for both models as of October 22, 2026. GPT-5.4's coding index rests on 3 independent benchmarks and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gpt-5-4-vs-qwen3-5-flash-02-23" title="GPT-5.4 vs Qwen3.5-Flash, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-4-vs-qwen3-5-flash-02-23">LLMBenchmark.ai, GPT-5.4 vs Qwen3.5-Flash</a></p>