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GPT-5 vs Qwen3 Next 80B A3B Instruct

GPT-5 leads Qwen3 Next 80B A3B Instruct on the Artificial Analysis Intelligence Index, 23.0 to 9.6, and Qwen3 Next 80B A3B Instruct costs 9.1x less per output token ($1.10 vs $10.00 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
22
Qwen3 Next 80B A3B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.10
19
vs boards won of 41 shared

GPT-5 or Qwen3 Next 80B A3B Instruct: which to pick

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Qwen3 Next 80B A3B Instruct has none, so the two cannot be ranked on coding.

Pick Qwen3 Next 80B A3B Instruct for output tokens 9.1x cheaper ($1.10 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
41
GPT-5 only
72
Qwen3 Next 80B A3B Instruct only
0
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 38.8 from 3 benchmarks, Qwen3 Next 80B A3B Instruct not benchmarked.
Widest category
Agentic work, 45.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5 86.5% against Qwen3 Next 80B A3B Instruct 41.5%, 45.0 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Qwen3 Next 80B A3B Instruct $1.10 per million output tokens, 9.1x apart.
Context window
GPT-5 takes 400K tokens, Qwen3 Next 80B A3B Instruct 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-5BarsQwen3 Next 80B A3B InstructTies
Coding22
Intelligence10
Agentic work10
Reasoning42
Math22
Knowledge14
General119
All shared boards2219
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GPT-5 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev1418Not measuredOnly GPT-5 measured
AA Coding Index37.8Not measuredOnly GPT-5 measured
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5 measured
SWE-bench Verified (Vals AI)69.0%Not measuredOnly GPT-5 measured
Vibe Code Bench (Vals AI)20.1%Not measuredOnly GPT-5 measured
LiveCodeBench (Artificial Analysis run)84.6%78.4%GPT-5
Terminal-Bench Hard (Artificial Analysis run)37.9%9.8%GPT-5
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6Not measuredOnly GPT-5 measured
LMArena Text: coding14361440Qwen3 Next 80B A3B Instruct
LMArena Text: software and IT14201447Qwen3 Next 80B A3B Instruct
LMArena WebDev: HTML1427Not measuredOnly GPT-5 measured
SciCode0.0%Not measuredOnly GPT-5 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 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
AA Intelligence Index23.09.6GPT-5
Epoch Capabilities Index150.0Not measuredOnly GPT-5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
τ²-Bench Telecom86.5%41.5%GPT-5
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for GPT-5 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
GPQA Diamond85.6%Not measuredOnly GPT-5 measured
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%75.9%GPT-5
Humanity's Last Exam (Artificial Analysis run)28.5%12.6%GPT-5
GPQA Diamond (Epoch AI run)86.2%Not measuredOnly GPT-5 measured
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151428Qwen3 Next 80B A3B Instruct
LMArena Text: expert14191417GPT-5
LMArena Text: hard prompts in English14191431Qwen3 Next 80B A3B Instruct
LMArena Vision: diagrams1252Not measuredOnly GPT-5 measured
LMArena Vision: homework1278Not measuredOnly GPT-5 measured
Kagi LLM Benchmark72.7%66.7%GPT-5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-5 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.384.3GPT-5
AIME 2025 (Artificial Analysis run)94.3%84.3%GPT-5
OTIS Mock AIME91.4%Not measuredOnly GPT-5 measured
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%Not measuredOnly GPT-5 measured
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071440Qwen3 Next 80B A3B Instruct
LMArena Text: mathematical work14051434Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for GPT-5 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
MMLU Pro86.5%Not measuredOnly GPT-5 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5 measured
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%Not measuredOnly GPT-5 measured
TaxEval (Vals AI)73.4%Not measuredOnly GPT-5 measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%Not measuredOnly GPT-5 measured
MMLU Pro (Artificial Analysis run)87.1%82.4%GPT-5
SimpleQA Verified50.1%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161434Qwen3 Next 80B A3B Instruct
LMArena Text: medicine and healthcare14131455Qwen3 Next 80B A3B Instruct
LMArena Text: legal and government14311431Qwen3 Next 80B A3B Instruct
LMArena Text: business and finance14001422Qwen3 Next 80B A3B Instruct
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
Design Arena: websites1184Not measuredOnly GPT-5 measured
Design Arena: UI components1180Not measuredOnly GPT-5 measured
Design Arena: game dev1185Not measuredOnly GPT-5 measured
Design Arena: data viz1221Not measuredOnly GPT-5 measured
Design Arena: 3D1056Not measuredOnly GPT-5 measured
Design Arena: all code categories1168Not measuredOnly GPT-5 measured
Design Arena: SVG1189Not measuredOnly GPT-5 measured
Design Arena: ASCII art1141Not measuredOnly GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index119
General benchmarks for GPT-5 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%Not measuredOnly GPT-5 measured
IFBench73.1%60.7%GPT-5
Long context reasoning (AA-LCR)78.2%63.7%GPT-5
DTBench90.7%Not measuredOnly GPT-5 measured
LMCA40.0%Not measuredOnly GPT-5 measured
Fiction.LiveBench97.2%55.6%GPT-5
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text14061417Qwen3 Next 80B A3B Instruct
LMArena Text: instruction following13881388Qwen3 Next 80B A3B Instruct
LMArena Text: creative writing13651333GPT-5
LMArena Vision1232Not measuredOnly GPT-5 measured
LMArena Text: English14091421Qwen3 Next 80B A3B Instruct
LMArena Text: non-English13971407Qwen3 Next 80B A3B Instruct
LMArena Text: Chinese14221460Qwen3 Next 80B A3B Instruct
LMArena Text: German14161416GPT-5
LMArena Text: Japanese14091395GPT-5
LMArena Text: Korean13601363Qwen3 Next 80B A3B Instruct
LMArena Text: French14091414Qwen3 Next 80B A3B Instruct
LMArena Text: Spanish13991435Qwen3 Next 80B A3B Instruct
LMArena Text: Russian14071404GPT-5
LMArena Text: Polish14311398GPT-5
LMArena Text: multi-turn14261416GPT-5
LMArena Text: longer queries13991402Qwen3 Next 80B A3B Instruct
LMArena Text: writing and language13841355GPT-5
LMArena Text: entertainment and media13791349GPT-5
LMArena Vision: English1231Not measuredOnly GPT-5 measured
LMArena Vision: Chinese1267Not measuredOnly GPT-5 measured
LMArena Vision: reading text1246Not measuredOnly GPT-5 measured
LMArena Vision: humor1219Not measuredOnly GPT-5 measured
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-5 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 and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-5Qwen3 Next 80B A3B InstructLeader
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$0.0063Fits in one request
Qwen3 Next 80B A3B Instruct$0.0006Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
Qwen3 Next 80B A3B Instruct$0.0083Fits in one request

Qwen3 Next 80B A3B Instruct costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Qwen3 Next 80B A3B Instruct$0.031Fits in one request

Qwen3 Next 80B A3B Instruct 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 and Qwen3 Next 80B A3B Instruct
SpecificationOpenAI GPT-5Qwen3 Next 80B A3B Instruct
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025September 11, 2025
Context window400K262K
Input $/Mtok$1.25$0.10
Output $/Mtok$10.00$1.10
Coding index38.8Not benchmarked
Independent measurements behind it30
Cost per solved task$0.39Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Qwen3 Next 80B A3B Instruct for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Qwen3 Next 80B A3B Instruct has none, so the two cannot be ranked on coding. Pick Qwen3 Next 80B A3B Instruct for output tokens 9.1x cheaper ($1.10 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5 or Qwen3 Next 80B A3B Instruct?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 Next 80B A3B Instruct costs $0.10 and $1.10. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, GPT-5 or Qwen3 Next 80B A3B Instruct?

GPT-5, with 400K tokens against 262K.

How many benchmarks is the GPT-5 vs Qwen3 Next 80B A3B Instruct comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. GPT-5's coding index rests on 3 independent benchmarks and Qwen3 Next 80B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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