Enter opens the highlighted result. Esc closes.

GPT-5.4 Nano vs Qwen3 Next 80B A3B Thinking

GPT-5.4 Nano leads Qwen3 Next 80B A3B Thinking on the Artificial Analysis Intelligence Index, 20.7 to 11.2, at about the same output price ($1.25 vs $1.20 per million). Updated October 22, 2026; 30 benchmarks have a result for both.

GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
26
Qwen3 Next 80B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.20
4
vs boards won of 30 shared

GPT-5.4 Nano or Qwen3 Next 80B A3B Thinking: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding.

Pick Qwen3 Next 80B A3B Thinking for output tokens 1.0x cheaper ($1.20 vs $1.25 per million) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Shared results
30
GPT-5.4 Nano only
55
Qwen3 Next 80B A3B Thinking 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 Nano 44.8 from 2 benchmarks, Qwen3 Next 80B A3B Thinking not benchmarked.
Widest category
Coding, 14.1 points apart on average over 3 shared benchmarks.
Widest single gap
AA Coding Index: GPT-5.4 Nano 56.1 against Qwen3 Next 80B A3B Thinking 17.4, 38.7 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 1.0x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Qwen3 Next 80B A3B Thinking 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 NanoBarsQwen3 Next 80B A3B ThinkingTies
Coding30
Intelligence10
Reasoning30
Math20
Knowledge22
General152
All shared boards264
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
AA Coding Index56.117.4GPT-5.4 Nano
LiveCodeBench (Vals AI)84.0%Not measuredOnly GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.4 Nano measured
Vibe Code Bench (Vals AI)26.1%Not measuredOnly GPT-5.4 Nano measured
Code migration (Vals AI)14.5%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)41.6%Not measuredOnly GPT-5.4 Nano measured
SciCode47.2%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)42.4%Not measuredOnly GPT-5.4 Nano measured
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5Not measuredOnly GPT-5.4 Nano measured
LMArena Text: coding14041392GPT-5.4 Nano
LMArena Text: software and IT14021393GPT-5.4 Nano
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
AA Intelligence Index20.711.2GPT-5.4 Nano
Epoch Capabilities Index146.0Not measuredOnly GPT-5.4 Nano measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
AA Agentic Index16.0Not measuredOnly GPT-5.4 Nano measured
Finance Agent (Vals AI)38.2%Not measuredOnly GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)5.0%Not measuredOnly GPT-5.4 Nano measured
Legal Research Bench (Vals AI)6.3%Not measuredOnly GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)44.8%Not measuredOnly GPT-5.4 Nano measured
τ²-Bench Telecom76.0%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
GPQA Diamond77.5%Not measuredOnly GPT-5.4 Nano measured
MMMU Pro (Vals AI)73.6%Not measuredOnly GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)81.7%Not measuredOnly GPT-5.4 Nano measured
Humanity's Last Exam (Artificial Analysis run)28.3%Not measuredOnly GPT-5.4 Nano measured
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%Not measuredOnly GPT-5.4 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts13811371GPT-5.4 Nano
LMArena Text: expert13961376GPT-5.4 Nano
LMArena Text: hard prompts in English13871384GPT-5.4 Nano
LMArena Vision: diagrams1210Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: homework1225Not measuredOnly GPT-5.4 Nano measured
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tiers 1 to 344.9%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: math14051399GPT-5.4 Nano
LMArena Text: mathematical work14091390GPT-5.4 Nano
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
MMLU Pro77.2%Not measuredOnly GPT-5.4 Nano measured
LegalBench (Vals AI)77.9%Not measuredOnly GPT-5.4 Nano measured
CaseLaw (Vals AI)51.9%Not measuredOnly GPT-5.4 Nano measured
CorpFin (Vals AI)61.2%Not measuredOnly GPT-5.4 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5.4 Nano measured
MortgageTax (Vals AI)59.1%Not measuredOnly GPT-5.4 Nano measured
MedCode (Vals AI)41.0%Not measuredOnly GPT-5.4 Nano measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science13741384Qwen3 Next 80B A3B Thinking
LMArena Text: medicine and healthcare13691392Qwen3 Next 80B A3B Thinking
LMArena Text: legal and government13681364GPT-5.4 Nano
LMArena Text: business and finance13661360GPT-5.4 Nano
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index152
General benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
SAGE (Vals AI)38.1%Not measuredOnly GPT-5.4 Nano measured
MedScribe (Vals AI)77.1%Not measuredOnly GPT-5.4 Nano measured
Vals Multimodal Index47.6%Not measuredOnly GPT-5.4 Nano measured
IFBench75.9%Not measuredOnly GPT-5.4 Nano measured
Long context reasoning (AA-LCR)76.7%Not measuredOnly GPT-5.4 Nano measured
DTBench80.3%Not measuredOnly GPT-5.4 Nano measured
LMCA36.9%Not measuredOnly GPT-5.4 Nano measured
LMArena Text13721368GPT-5.4 Nano
LMArena Text: instruction following13621344GPT-5.4 Nano
LMArena Text: creative writing13151314GPT-5.4 Nano
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English13811392Qwen3 Next 80B A3B Thinking
LMArena Text: non-English13591342GPT-5.4 Nano
LMArena Text: Chinese13911407Qwen3 Next 80B A3B Thinking
LMArena Text: German13681356GPT-5.4 Nano
LMArena Text: Japanese13431280GPT-5.4 Nano
LMArena Text: Korean13211310GPT-5.4 Nano
LMArena Text: French13951351GPT-5.4 Nano
LMArena Text: Spanish13711358GPT-5.4 Nano
LMArena Text: Russian13631337GPT-5.4 Nano
LMArena Text: Polish13661345GPT-5.4 Nano
LMArena Text: multi-turn13821346GPT-5.4 Nano
LMArena Text: longer queries13651353GPT-5.4 Nano
LMArena Text: writing and language13381330GPT-5.4 Nano
LMArena Text: entertainment and media13251312GPT-5.4 Nano
LMArena Vision: English1202Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: Chinese1232Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: reading text1204Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: humor1161Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing1159Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 17 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-5.4 NanoQwen3 Next 80B A3B ThinkingLeader
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 Nano$0.0008Fits in one request
Qwen3 Next 80B A3B Thinking$0.0008Fits in one request

Qwen3 Next 80B A3B Thinking costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Qwen3 Next 80B A3B Thinking$0.011Fits in one request

Qwen3 Next 80B A3B Thinking costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Qwen3 Next 80B A3B Thinking$0.042Fits in one request

Qwen3 Next 80B A3B Thinking 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 Nano and Qwen3 Next 80B A3B Thinking
SpecificationOpenAI GPT-5.4 NanoQwen3 Next 80B A3B Thinking
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026September 11, 2025
Context window400K262K
Input $/Mtok$0.20$0.15
Output $/Mtok$1.25$1.20
Coding index44.8Not benchmarked
Independent measurements behind it20
Cost per solved task$0.14Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Qwen3 Next 80B A3B Thinking for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding. Pick Qwen3 Next 80B A3B Thinking for output tokens 1.0x cheaper ($1.20 vs $1.25 per million) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, GPT-5.4 Nano or Qwen3 Next 80B A3B Thinking?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GPT-5.4 Nano or Qwen3 Next 80B A3B Thinking?

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

How many benchmarks is the GPT-5.4 Nano vs Qwen3 Next 80B A3B Thinking comparison based on?

30 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano's coding index rests on 2 independent benchmarks and Qwen3 Next 80B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next