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 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only GPT-5.4 Nano has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-5.4 Nano
GPT-5.4 Nano leads, 20.7 against 11.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Nano has a AA Agentic Index result, 16.0.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.4 Nano has a GPQA Diamond result, 77.5%.
Directional only
Math
AIME
No call
Only GPT-5.4 Nano has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.4 Nano has a MMLU Pro result, 77.2%.
Directional only
Long documents
Listed context window
GPT-5.4 Nano
GPT-5.4 Nano takes 400K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Next 80B A3B Thinking
GPT-5.4 Nano $0.0008, Qwen3 Next 80B A3B Thinking $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.4 Nano has the number, $0.14.
Directional only
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.
| Category | GPT-5.4 Nano | Bars | Qwen3 Next 80B A3B Thinking | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 2 | 2 | ||
| General | 15 | 2 | ||
| All shared boards | 26 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Coding Index | 56.1 | 17.4 | GPT-5.4 Nano |
| LiveCodeBench (Vals AI) | 84.0% | Not measured | Only GPT-5.4 Nano measured |
| SWE-bench Verified (Vals AI) | 69.8% | Not measured | Only GPT-5.4 Nano measured |
| Vibe Code Bench (Vals AI) | 26.1% | Not measured | Only GPT-5.4 Nano measured |
| Code migration (Vals AI) | 14.5% | Not measured | Only GPT-5.4 Nano measured |
| Terminal-Bench 2.1 (Vals AI) | 41.6% | Not measured | Only GPT-5.4 Nano measured |
| SciCode | 47.2% | Not measured | Only GPT-5.4 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | 42.4% | Not measured | Only GPT-5.4 Nano measured |
| WeirdML | 49.2% | Not measured | Only GPT-5.4 Nano measured |
| ALE-Bench | 1004.5 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: coding | 1404 | 1392 | GPT-5.4 Nano |
| LMArena Text: software and IT | 1402 | 1393 | GPT-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
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 20.7 | 11.2 | GPT-5.4 Nano |
| Epoch Capabilities Index | 146.0 | Not measured | Only GPT-5.4 Nano measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Agentic Index | 16.0 | Not measured | Only GPT-5.4 Nano measured |
| Finance Agent (Vals AI) | 38.2% | Not measured | Only GPT-5.4 Nano measured |
| Tax Agent Bench (Vals AI) | 5.0% | Not measured | Only GPT-5.4 Nano measured |
| Legal Research Bench (Vals AI) | 6.3% | Not measured | Only GPT-5.4 Nano measured |
| Excel Modeling Benchmark (Vals AI) | 44.8% | Not measured | Only GPT-5.4 Nano measured |
| τ²-Bench Telecom | 76.0% | Not measured | Only 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
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| GPQA Diamond | 77.5% | Not measured | Only GPT-5.4 Nano measured |
| MMMU Pro (Vals AI) | 73.6% | Not measured | Only GPT-5.4 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 81.7% | Not measured | Only GPT-5.4 Nano measured |
| Humanity's Last Exam (Artificial Analysis run) | 28.3% | Not measured | Only GPT-5.4 Nano measured |
| GPQA Diamond (Epoch AI run) | 78.5% | Not measured | Only GPT-5.4 Nano measured |
| ARC-AGI | 51.5% | Not measured | Only GPT-5.4 Nano measured |
| ARC-AGI-2 | 5.7% | Not measured | Only GPT-5.4 Nano measured |
| Chess puzzles | 45.0% | Not measured | Only GPT-5.4 Nano measured |
| Mystery game puzzles | 9.0% | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: hard prompts | 1381 | 1371 | GPT-5.4 Nano |
| LMArena Text: expert | 1396 | 1376 | GPT-5.4 Nano |
| LMArena Text: hard prompts in English | 1387 | 1384 | GPT-5.4 Nano |
| LMArena Vision: diagrams | 1210 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: homework | 1225 | Not measured | Only GPT-5.4 Nano measured |
| Kagi LLM Benchmark | 39.7% | Not measured | Only 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
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AIME | 88.8% | Not measured | Only GPT-5.4 Nano measured |
| OTIS Mock AIME | 87.8% | Not measured | Only GPT-5.4 Nano measured |
| FrontierMath, tiers 1 to 3 | 44.9% | Not measured | Only GPT-5.4 Nano measured |
| FrontierMath, tier 4 | 12.2% | Not measured | Only GPT-5.4 Nano measured |
| ProofBench | 5.0% | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: math | 1405 | 1399 | GPT-5.4 Nano |
| LMArena Text: mathematical work | 1409 | 1390 | GPT-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
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| MMLU Pro | 77.2% | Not measured | Only GPT-5.4 Nano measured |
| LegalBench (Vals AI) | 77.9% | Not measured | Only GPT-5.4 Nano measured |
| CaseLaw (Vals AI) | 51.9% | Not measured | Only GPT-5.4 Nano measured |
| CorpFin (Vals AI) | 61.2% | Not measured | Only GPT-5.4 Nano measured |
| TaxEval (Vals AI) | 67.4% | Not measured | Only GPT-5.4 Nano measured |
| MortgageTax (Vals AI) | 59.1% | Not measured | Only GPT-5.4 Nano measured |
| MedCode (Vals AI) | 41.0% | Not measured | Only GPT-5.4 Nano measured |
| SimpleQA Verified | 11.7% | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: science | 1374 | 1384 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: medicine and healthcare | 1369 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: legal and government | 1368 | 1364 | GPT-5.4 Nano |
| LMArena Text: business and finance | 1366 | 1360 | GPT-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
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index152
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 38.1% | Not measured | Only GPT-5.4 Nano measured |
| MedScribe (Vals AI) | 77.1% | Not measured | Only GPT-5.4 Nano measured |
| Vals Multimodal Index | 47.6% | Not measured | Only GPT-5.4 Nano measured |
| IFBench | 75.9% | Not measured | Only GPT-5.4 Nano measured |
| Long context reasoning (AA-LCR) | 76.7% | Not measured | Only GPT-5.4 Nano measured |
| DTBench | 80.3% | Not measured | Only GPT-5.4 Nano measured |
| LMCA | 36.9% | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text | 1372 | 1368 | GPT-5.4 Nano |
| LMArena Text: instruction following | 1362 | 1344 | GPT-5.4 Nano |
| LMArena Text: creative writing | 1315 | 1314 | GPT-5.4 Nano |
| LMArena Vision | 1196 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Text: English | 1381 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: non-English | 1359 | 1342 | GPT-5.4 Nano |
| LMArena Text: Chinese | 1391 | 1407 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: German | 1368 | 1356 | GPT-5.4 Nano |
| LMArena Text: Japanese | 1343 | 1280 | GPT-5.4 Nano |
| LMArena Text: Korean | 1321 | 1310 | GPT-5.4 Nano |
| LMArena Text: French | 1395 | 1351 | GPT-5.4 Nano |
| LMArena Text: Spanish | 1371 | 1358 | GPT-5.4 Nano |
| LMArena Text: Russian | 1363 | 1337 | GPT-5.4 Nano |
| LMArena Text: Polish | 1366 | 1345 | GPT-5.4 Nano |
| LMArena Text: multi-turn | 1382 | 1346 | GPT-5.4 Nano |
| LMArena Text: longer queries | 1365 | 1353 | GPT-5.4 Nano |
| LMArena Text: writing and language | 1338 | 1330 | GPT-5.4 Nano |
| LMArena Text: entertainment and media | 1325 | 1312 | GPT-5.4 Nano |
| LMArena Vision: English | 1202 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: Chinese | 1232 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: reading text | 1204 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: humor | 1161 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: recognizing things | 1141 | Not measured | Only GPT-5.4 Nano measured |
| LMArena Vision: creative writing | 1159 | Not measured | Only 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
| Benchmark | GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| 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
Qwen3 Next 80B A3B Thinking costs less
Repository review
50K input + 3K output tokens
Qwen3 Next 80B A3B Thinking costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | OpenAI GPT-5.4 Nano | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | March 17, 2026 | September 11, 2025 |
| Context window | 400K | 262K |
| Input $/Mtok | $0.20 | $0.15 |
| Output $/Mtok | $1.25 | $1.20 |
| Coding index | 44.8 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | $0.14 | Not computable |
| Source | OpenRouter listing | OpenRouter 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.