Command A vs Qwen3 Next 80B A3B Thinking
Command A leads Qwen3 Next 80B A3B Thinking on the Artificial Analysis Intelligence Index, 13.1 to 11.2, and Qwen3 Next 80B A3B Thinking costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 21, 2026; 30 benchmarks have a result for both.
Command A 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 Command A for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 30
- Command A only
- 32
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Command A
Command A leads, 13.1 against 11.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Command A has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Command A has a GPQA Diamond result, 48.5%.
Directional only
Math
AIME
No call
Only Command A has a AIME result, 13.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Command A has a MMLU Pro result, 69.2%.
Directional only
Long documents
Listed context window
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Next 80B A3B Thinking
Command A $0.0075, Qwen3 Next 80B A3B Thinking $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Command A has the number, $2.69.
Directional only
At a glance
- Coding index
- Command A not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
- Widest category
- Math, 14.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- LMArena Text: math: Command A 1300 against Qwen3 Next 80B A3B Thinking 1399, 16.4 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 8.3x apart.
- Context window
- Command A takes 256K 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 | Command A | Bars | Qwen3 Next 80B A3B Thinking | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 2 | 15 | ||
| All shared boards | 4 | 26 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
| Benchmark | Command A | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Coding Index | 27.8 | 17.4 | Command A |
| LiveCodeBench (Vals AI) | 35.1% | Not measured | Only Command A measured |
| SWE-bench Verified (Vals AI) | 7.8% | Not measured | Only Command A measured |
| Terminal-Bench 2.1 (Vals AI) | 17.6% | Not measured | Only Command A measured |
| LiveCodeBench (Artificial Analysis run) | 28.7% | Not measured | Only Command A measured |
| SciCode | 38.5% | Not measured | Only Command A measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Command A measured |
| LMArena Text: coding | 1330 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: software and IT | 1336 | 1393 | Qwen3 Next 80B A3B Thinking |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Command A | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 11.2 | Command A |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Command A | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Command A measured |
| Finance Agent (Vals AI) | 9.0% | Not measured | Only Command A measured |
| τ²-Bench Telecom | 80.7% | Not measured | Only Command A measured |
| Berkeley Function Calling Leaderboard (BFCL) | 46.5% | Not measured | Only Command A measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Command A | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | Not measured | Only Command A measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | Not measured | Only Command A measured |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | Not measured | Only Command A measured |
| LMArena Text: hard prompts | 1326 | 1371 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: expert | 1296 | 1376 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: hard prompts in English | 1335 | 1384 | Qwen3 Next 80B A3B Thinking |
| Kagi LLM Benchmark | 28.8% | Not measured | Only Command A measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Command A | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AIME | 13.3% | Not measured | Only Command A measured |
| MATH 500 (Vals AI) | 76.2% | Not measured | Only Command A measured |
| MGSM (Vals AI) | 85.7% | Not measured | Only Command A measured |
| AA Math Index | 13.0 | Not measured | Only Command A measured |
| AIME 2025 (Artificial Analysis run) | 13.0% | Not measured | Only Command A measured |
| LMArena Text: math | 1300 | 1399 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: mathematical work | 1312 | 1390 | Qwen3 Next 80B A3B Thinking |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Command A | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| MMLU Pro | 69.2% | Not measured | Only Command A measured |
| LegalBench (Vals AI) | 79.7% | Not measured | Only Command A measured |
| CaseLaw (Vals AI) | 64.5% | Not measured | Only Command A measured |
| CorpFin (Vals AI) | 46.0% | Not measured | Only Command A measured |
| TaxEval (Vals AI) | 61.4% | Not measured | Only Command A measured |
| MedQA (Vals AI) | 80.5% | Not measured | Only Command A measured |
| MedCode (Vals AI) | 19.7% | Not measured | Only Command A measured |
| MMLU Pro (Artificial Analysis run) | 71.2% | Not measured | Only Command A measured |
| LMArena Text: science | 1339 | 1384 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: medicine and healthcare | 1334 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: legal and government | 1348 | 1364 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: business and finance | 1315 | 1360 | Qwen3 Next 80B A3B Thinking |
| Neither model has a result on the other 6 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | 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 index215
| Benchmark | Command A | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 55.7% | Not measured | Only Command A measured |
| IFBench | 73.9% | Not measured | Only Command A measured |
| Long context reasoning (AA-LCR) | 52.7% | Not measured | Only Command A measured |
| DTBench | 61.3% | Not measured | Only Command A measured |
| LMCA | 10.3% | Not measured | Only Command A measured |
| LMArena Text | 1331 | 1368 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: instruction following | 1309 | 1344 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: creative writing | 1319 | 1314 | Command A |
| LMArena Text: English | 1344 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: non-English | 1313 | 1342 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: Chinese | 1327 | 1407 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: German | 1342 | 1356 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: Japanese | 1285 | 1280 | Command A |
| LMArena Text: Korean | 1285 | 1310 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: French | 1351 | 1351 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: Spanish | 1347 | 1358 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: Russian | 1314 | 1337 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: Polish | 1324 | 1345 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: multi-turn | 1338 | 1346 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: longer queries | 1334 | 1353 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: writing and language | 1328 | 1330 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: entertainment and media | 1306 | 1312 | Qwen3 Next 80B A3B Thinking |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | 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 | Cohere Command A | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Maker | Cohere | Qwen |
| Weights | Open weights | Open weights |
| Released | March 13, 2025 | September 11, 2025 |
| Context window | 256K | 262K |
| Input $/Mtok | $2.50 | $0.15 |
| Output $/Mtok | $10.00 | $1.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $2.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command A 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 Command A for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Command A or Qwen3 Next 80B A3B Thinking?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or Qwen3 Next 80B A3B Thinking?
Qwen3 Next 80B A3B Thinking, with 262K tokens against 256K.
How many benchmarks is the Command A vs Qwen3 Next 80B A3B Thinking comparison based on?
30 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark 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.