Granite 4.2 8B vs Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking leads Granite 4.2 8B on the Artificial Analysis Intelligence Index, 11.2 to 11.1, and Granite 4.2 8B costs 6.0x less per output token ($0.20 vs $1.20 per million). Updated October 23, 2026; 22 benchmarks have a result for both.
Granite 4.2 8B 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 Granite 4.2 8B for output tokens 6.0x cheaper ($0.20 vs $1.20 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 22
- Granite 4.2 8B only
- 5
- Qwen3 Next 80B A3B Thinking only
- 8
- Like-for-like categories
- 5 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
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking leads, 11.2 against 11.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Granite 4.2 8B has a AA Agentic Index result, 1.3.
Directional only
Long documents
Listed context window
Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Thinking takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Granite 4.2 8B
Granite 4.2 8B $0.0002, Qwen3 Next 80B A3B Thinking $0.0008 per turn.
List prices
At a glance
- Coding index
- Granite 4.2 8B not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
- Widest category
- General, 8.2 points apart on average over 11 shared benchmarks.
- Widest single gap
- LMArena Text: creative writing: Granite 4.2 8B 1235 against Qwen3 Next 80B A3B Thinking 1314, 13.2 points apart on a 0 to 100 scale.
- Output price
- Granite 4.2 8B $0.20 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 6.0x apart.
- Context window
- Granite 4.2 8B takes 131K 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 | Granite 4.2 8B | Bars | Qwen3 Next 80B A3B Thinking | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 1 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 11 | ||
| All shared boards | 2 | 20 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
| Benchmark | Granite 4.2 8B | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Coding Index | 22.4 | 17.4 | Granite 4.2 8B |
| SciCode | 31.5% | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: coding | 1378 | 1391 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: software and IT | 1366 | 1393 | Qwen3 Next 80B A3B Thinking |
| Neither model has a result on the other 39 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Granite 4.2 8B | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.1 | 11.2 | Qwen3 Next 80B A3B Thinking |
| 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 | Granite 4.2 8B | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| AA Agentic Index | 1.3 | Not measured | Only Granite 4.2 8B measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Granite 4.2 8B | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 63.1% | Not measured | Only Granite 4.2 8B measured |
| Humanity's Last Exam (Artificial Analysis run) | 9.7% | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: hard prompts | 1327 | 1371 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: expert | 1386 | 1376 | Granite 4.2 8B |
| LMArena Text: hard prompts in English | 1344 | 1384 | Qwen3 Next 80B A3B Thinking |
| 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 | Granite 4.2 8B | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1398 | 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 | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Granite 4.2 8B | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| LMArena Text: science | 1335 | 1385 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: medicine and healthcare | 1332 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: legal and government | 1327 | 1364 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: business and finance | 1322 | 1360 | Qwen3 Next 80B A3B Thinking |
| 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 | Granite 4.2 8B | 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 index011
| Benchmark | Granite 4.2 8B | Qwen3 Next 80B A3B Thinking | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | 45.0% | Not measured | Only Granite 4.2 8B measured |
| LMArena Text | 1319 | 1368 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: instruction following | 1301 | 1343 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: creative writing | 1235 | 1314 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: English | 1337 | 1392 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: non-English | 1300 | 1342 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: Chinese | 1365 | 1407 | Qwen3 Next 80B A3B Thinking |
| 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 | 1309 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: French | Not measured | 1353 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Spanish | Not measured | 1358 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: Russian | 1280 | 1337 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: Polish | Not measured | 1344 | Only Qwen3 Next 80B A3B Thinking measured |
| LMArena Text: multi-turn | 1300 | 1346 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: longer queries | 1324 | 1353 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: writing and language | 1269 | 1330 | Qwen3 Next 80B A3B Thinking |
| LMArena Text: entertainment and media | 1271 | 1313 | Qwen3 Next 80B A3B Thinking |
| 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 | Granite 4.2 8B | 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
Granite 4.2 8B costs less
Repository review
50K input + 3K output tokens
Granite 4.2 8B costs less
Agent loop
200K input + 10K output tokens
Granite 4.2 8B 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 | IBM Granite 4.2 8B | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Maker | IBM Granite | Qwen |
| Weights | Open weights | Open weights |
| Released | August 31, 2026 | September 11, 2025 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.08 | $0.15 |
| Output $/Mtok | $0.20 | $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 Granite 4.2 8B 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 Granite 4.2 8B for output tokens 6.0x cheaper ($0.20 vs $1.20 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Granite 4.2 8B or Qwen3 Next 80B A3B Thinking?
Granite 4.2 8B costs $0.08 per million input tokens and $0.20 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, Granite 4.2 8B or Qwen3 Next 80B A3B Thinking?
Qwen3 Next 80B A3B Thinking, with 262K tokens against 131K.
How many benchmarks is the Granite 4.2 8B vs Qwen3 Next 80B A3B Thinking comparison based on?
22 benchmarks have a result for both models as of October 23, 2026. Granite 4.2 8B'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.