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GPT-5 Mini vs Qwen3.5-Flash

Updated October 21, 2026. 51 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Mini Replace Qwen3.5-Flash
GPT-5 MiniOpenAI
Coding
59.8
Overall
20.6
Output $/M
$2.00
13
Qwen3.5-FlashQwen
Coding
6.2
Overall
No data
Output $/M
$0.26
38
vs boards won of 51 shared

Decision reading

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash.

Pick Qwen3.5-Flash when output tokens cost 7.7x less, or when the context window is larger, 1M against 400K tokens.

Model AGPT-5 MiniOpenAI59.8/1001 independent benchmark$0.08 per solved taskModel BQwen3.5-FlashQwen6.2/1001 independent benchmark$0.40 per solved task
Shared results
51
GPT-5 Mini only
47
Qwen3.5-Flash only
4
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 Mini 59.8 from 1 benchmark, Qwen3.5-Flash 6.2 from 1 benchmark.
Widest category
Math, 8.4 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-5 Mini 46.7% against Qwen3.5-Flash 18.2%, 28.4 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Qwen3.5-Flash $0.26 per million output tokens, 7.7x apart.
Context window
GPT-5 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 MiniBarsQwen3.5-FlashTies
Coding13
Intelligence10
Reasoning17
Math23
Knowledge48
General417
All shared boards1338
CodingLike-for-likeFour of these boards feed the Vibe Coding Index13
Coding benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LMArena WebDevNot measured1244Only Qwen3.5-Flash measured
LiveCodeBench (Vals AI)86.6%83.3%GPT-5 Mini
SWE-bench Verified (Vals AI)60.8%64.4%Qwen3.5-Flash
Vibe Code Bench (Vals AI)14.2%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)83.8%Not measuredOnly GPT-5 Mini measured
SciCode39.0%Not measuredOnly GPT-5 Mini measured
Terminal-Bench Hard (Artificial Analysis run)33.3%Not measuredOnly GPT-5 Mini measured
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
ALE-BenchNot measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding14061412Qwen3.5-Flash
LMArena Text: software and IT13941416Qwen3.5-Flash
LMArena WebDev: ReactNot measured1229Only Qwen3.5-Flash measured
LMArena WebDev: HTMLNot measured1291Only Qwen3.5-Flash measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
AA Intelligence Index20.6Not measuredOnly GPT-5 Mini measured
Epoch Capabilities Index145.3143.5GPT-5 Mini
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
τ²-Bench Telecom71.1%Not measuredOnly GPT-5 Mini measured
Vending-Bench 2-$31Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index17
Reasoning benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
GPQA Diamond80.3%82.8%Qwen3.5-Flash
MMMU Pro (Vals AI)78.9%81.9%Qwen3.5-Flash
GPQA Diamond (Artificial Analysis run)82.8%Not measuredOnly GPT-5 Mini measured
Humanity's Last Exam (Artificial Analysis run)21.5%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Epoch AI run)75.0%82.3%Qwen3.5-Flash
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%14.0%GPT-5 Mini
Mystery game puzzles10.0%20.0%Qwen3.5-Flash
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801403Qwen3.5-Flash
LMArena Text: expert13791407Qwen3.5-Flash
LMArena Text: hard prompts in English13831409Qwen3.5-Flash
LMArena Vision: diagrams1202Not measuredOnly GPT-5 Mini measured
LMArena Vision: homework1210Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index23
Math benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
AIME91.5%92.5%Qwen3.5-Flash
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.7Not measuredOnly GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly GPT-5 Mini measured
OTIS Mock AIME86.7%84.4%GPT-5 Mini
FrontierMath, tiers 1 to 346.7%18.2%GPT-5 Mini
FrontierMath, tier 412.2%Not measuredOnly GPT-5 Mini measured
ProofBench9.0%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781407Qwen3.5-Flash
LMArena Text: mathematical work13801413Qwen3.5-Flash
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index48
Knowledge benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
MMLU Pro82.2%84.1%Qwen3.5-Flash
LegalBench (Vals AI)81.8%84.3%Qwen3.5-Flash
CaseLaw (Vals AI)68.5%56.0%GPT-5 Mini
CorpFin (Vals AI)60.2%63.6%Qwen3.5-Flash
TaxEval (Vals AI)75.2%72.2%GPT-5 Mini
MortgageTax (Vals AI)66.9%67.4%Qwen3.5-Flash
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%33.0%GPT-5 Mini
MMLU Pro (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Mini measured
SimpleQA Verified21.6%20.3%GPT-5 Mini
LMArena Text: science13711415Qwen3.5-Flash
LMArena Text: medicine and healthcare13801407Qwen3.5-Flash
LMArena Text: legal and government13751398Qwen3.5-Flash
LMArena Text: business and finance13581394Qwen3.5-Flash
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
Design Arena: websites1125Not measuredOnly GPT-5 Mini measured
Design Arena: UI components1106Not measuredOnly GPT-5 Mini measured
Design Arena: game dev1130Not measuredOnly GPT-5 Mini measured
Design Arena: data viz1131Not measuredOnly GPT-5 Mini measured
Design Arena: 3D1037Not measuredOnly GPT-5 Mini measured
Design Arena: all code categories1115Not measuredOnly GPT-5 Mini measured
Design Arena: SVG1091Not measuredOnly GPT-5 Mini measured
Design Arena: ASCII art1124Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index417
General benchmarks for GPT-5 Mini and Qwen3.5-Flash
BenchmarkGPT-5 MiniQwen3.5-FlashLeader
SAGE (Vals AI)43.0%42.5%GPT-5 Mini
MedScribe (Vals AI)80.6%70.6%GPT-5 Mini
IFBench75.4%Not measuredOnly GPT-5 Mini measured
Long context reasoning (AA-LCR)72.3%Not measuredOnly GPT-5 Mini measured
DTBench80.5%82.9%Qwen3.5-Flash
LMCA34.2%29.1%GPT-5 Mini
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731397Qwen3.5-Flash
LMArena Text: instruction following13571374Qwen3.5-Flash
LMArena Text: creative writing13251343Qwen3.5-Flash
LMArena Vision1202Not measuredOnly GPT-5 Mini measured
LMArena Text: English13791404Qwen3.5-Flash
LMArena Text: non-English13631385Qwen3.5-Flash
LMArena Text: Chinese13861445Qwen3.5-Flash
LMArena Text: German13661390Qwen3.5-Flash
LMArena Text: Japanese13411369Qwen3.5-Flash
LMArena Text: Korean13081344Qwen3.5-Flash
LMArena Text: French13861413Qwen3.5-Flash
LMArena Text: Spanish13541400Qwen3.5-Flash
LMArena Text: Russian13621380Qwen3.5-Flash
LMArena Text: Polish13781376GPT-5 Mini
LMArena Text: multi-turn13631393Qwen3.5-Flash
LMArena Text: longer queries13551392Qwen3.5-Flash
LMArena Text: writing and language13441369Qwen3.5-Flash
LMArena Text: entertainment and media13401347Qwen3.5-Flash
LMArena Vision: English1216Not measuredOnly GPT-5 Mini measured
LMArena Vision: Chinese1214Not measuredOnly GPT-5 Mini measured
LMArena Vision: reading text1199Not measuredOnly GPT-5 Mini measured
LMArena Vision: humor1205Not measuredOnly GPT-5 Mini measured
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things1226Not measuredOnly GPT-5 Mini measured
LMArena Vision: creative writing1181Not measuredOnly GPT-5 Mini 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 Mini and Qwen3.5-Flash
BenchmarkGPT-5 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 Mini$0.0013Fits 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 Mini$0.018Fits 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 Mini$0.070Fits 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 Mini and Qwen3.5-Flash
SpecificationOpenAI GPT-5 MiniQwen3.5-Flash
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025February 25, 2026
Context window400K1M
Input $/Mtok$0.25$0.065
Output $/Mtok$2.00$0.26
Coding index59.86.2
Independent measurements behind it11
Cost per solved task$0.08$0.40
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 6.2 for Qwen3.5-Flash. Pick Qwen3.5-Flash when output tokens cost 7.7x less, or when the context window is larger, 1M against 400K tokens.

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

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Per solved SWE-bench Verified task, GPT-5 Mini costs $0.08 and Qwen3.5-Flash $0.40.

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

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

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

51 benchmarks have a result for both models as of October 21, 2026. GPT-5 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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