LongCat 2.0 vs Qwen3 Next 80B A3B Thinking
LongCat 2.0 leads Qwen3 Next 80B A3B Thinking on the Artificial Analysis Intelligence Index, 19.1 to 11.2, at about the same output price ($1.20 vs $1.20 per million). Updated October 22, 2026; 2 benchmarks have a result for both.
LongCat 2.0 or Qwen3 Next 80B A3B Thinking: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick LongCat 2.0 for a larger context window (1.05M against 262K tokens).
- Shared results
- 2
- LongCat 2.0 only
- 6
- Qwen3 Next 80B A3B Thinking only
- 28
- Like-for-like categories
- 2 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
LongCat 2.0
LongCat 2.0 leads, 19.1 against 11.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only LongCat 2.0 has a AA Agentic Index result, 14.0.
Directional only
Long documents
Listed context window
LongCat 2.0
LongCat 2.0 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Next 80B A3B Thinking
LongCat 2.0 $0.0009, Qwen3 Next 80B A3B Thinking $0.0008 per turn.
List prices
At a glance
- Coding index
- LongCat 2.0 not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
- Widest category
- Coding, 27.9 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: LongCat 2.0 45.3 against Qwen3 Next 80B A3B Thinking 17.4, 27.9 points apart on a 0 to 100 scale.
- Output price
- Both cost $1.20 per million output tokens.
- Context window
- LongCat 2.0 takes 1.05M 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 | LongCat 2.0 | Bars | Qwen3 Next 80B A3B Thinking | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| All shared boards | 2 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Coding Index | 45.3 | 17.4 | LongCat 2.0 |
| SciCode | 36.3% | Not measured | Only LongCat 2.0 measured |
| ALE-Bench | 793.5 | Not measured | Only LongCat 2.0 measured |
| LMArena Text: coding | Not measured | 1392 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: software and IT | Not measured | 1393 | Only Qwen3 Next 80B A3B Thinking measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 19.1 | 11.2 | LongCat 2.0 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Agentic Index | 14.0 | Not measured | Only LongCat 2.0 measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 78.0% | Not measured | Only LongCat 2.0 measured |
| Humanity's Last Exam (Artificial Analysis run) | 33.7% | Not measured | Only LongCat 2.0 measured |
| LMArena Text: hard prompts | Not measured | 1371 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: expert | Not measured | 1376 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: hard prompts in English | Not measured | 1384 | Only Qwen3 Next 80B A3B Thinking measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1399 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: mathematical work | Not measured | 1390 | Only Qwen3 Next 80B A3B Thinking measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1384 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: medicine and healthcare | Not measured | 1392 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: legal and government | Not measured | 1364 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: business and finance | Not measured | 1360 | Only Qwen3 Next 80B A3B Thinking measured |
| Neither model has a result on the other 16 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
| Benchmark | LongCat 2.0 | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | 65.0% | Not measured | Only LongCat 2.0 measured |
| LMArena Text | Not measured | 1368 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: instruction following | Not measured | 1344 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: creative writing | Not measured | 1314 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: English | Not measured | 1392 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: non-English | Not measured | 1342 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Chinese | Not measured | 1407 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: German | Not measured | 1356 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Japanese | Not measured | 1280 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Korean | Not measured | 1310 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: French | Not measured | 1351 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Spanish | Not measured | 1358 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Russian | Not measured | 1337 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Polish | Not measured | 1345 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: multi-turn | Not measured | 1346 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: longer queries | Not measured | 1353 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: writing and language | Not measured | 1330 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: entertainment and media | Not measured | 1312 | Only Qwen3 Next 80B A3B Thinking measured |
| Neither model has a result on the other 30 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | LongCat 2.0 | 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 | Meituan LongCat 2.0 | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Maker | Meituan | Qwen |
| Weights | Open weights | Open weights |
| Released | July 20, 2026 | September 11, 2025 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.30 | $0.15 |
| Output $/Mtok | $1.20 | $1.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is LongCat 2.0 better than Qwen3 Next 80B A3B Thinking for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick LongCat 2.0 for a larger context window (1.05M against 262K tokens).
Which is cheaper, LongCat 2.0 or Qwen3 Next 80B A3B Thinking?
LongCat 2.0 costs $0.30 per million input tokens and $1.20 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, LongCat 2.0 or Qwen3 Next 80B A3B Thinking?
LongCat 2.0, with 1.05M tokens against 262K.
How many benchmarks is the LongCat 2.0 vs Qwen3 Next 80B A3B Thinking comparison based on?
2 benchmarks have a result for both models as of October 22, 2026. LongCat 2.0's coding index rests on 0 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.