Granite 4.2 8B vs Qwen3.8 Max Prime
Granite 4.2 8B costs 60.0x less per output token than Qwen3.8 Max Prime ($0.20 vs $12.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.20
- Coding
- No data
- Overall
- No data
- Output $/M
- $12.00
Granite 4.2 8B or Qwen3.8 Max Prime: 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 60.0x cheaper ($0.20 vs $12.00 per million).
No benchmark has tested both yet. Granite 4.2 8B has results on AA Coding Index, SciCode and LMArena Text: coding; Qwen3.8 Max Prime has none yet. Compare them on price and context instead.
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
No call
Only Granite 4.2 8B has a AA Intelligence Index result, 11.1.
Directional only
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
Qwen3.8 Max Prime
Qwen3.8 Max Prime takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Granite 4.2 8B
Granite 4.2 8B $0.0002, Qwen3.8 Max Prime $0.010 per turn.
List prices
At a glance
- Coding index
- Granite 4.2 8B not benchmarked, Qwen3.8 Max Prime not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Granite 4.2 8B $0.20 against Qwen3.8 Max Prime $12.00 per million output tokens, 60.0x apart.
- Context window
- Granite 4.2 8B takes 131K tokens, Qwen3.8 Max Prime 1M.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards measured
| Benchmark | Granite 4.2 8B | Qwen3.8 Max Prime | Leader |
|---|---|---|---|
| AA Coding Index | 22.4 | Not measured | Only Granite 4.2 8B measured |
| SciCode | 31.5% | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: coding | 1378 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: software and IT | 1367 | Not measured | Only Granite 4.2 8B measured |
| Neither model has a result on the other 39 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Granite 4.2 8B | Qwen3.8 Max Prime | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.1 | Not measured | Only Granite 4.2 8B measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Granite 4.2 8B | Qwen3.8 Max Prime | 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 | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Granite 4.2 8B | Qwen3.8 Max Prime | 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 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: expert | 1386 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: hard prompts in English | 1345 | Not measured | Only Granite 4.2 8B measured |
| Neither model has a result on the other 18 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Granite 4.2 8B | Qwen3.8 Max Prime | Leader |
|---|---|---|---|
| LMArena Text: science | 1336 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: medicine and healthcare | 1336 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: legal and government | 1327 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: business and finance | 1322 | Not measured | Only Granite 4.2 8B measured |
| Neither model has a result on the other 16 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
| Benchmark | Granite 4.2 8B | Qwen3.8 Max Prime | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | 45.0% | Not measured | Only Granite 4.2 8B measured |
| LMArena Text | 1319 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: instruction following | 1300 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: creative writing | 1236 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: English | 1337 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: non-English | 1301 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: Chinese | 1367 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: Russian | 1282 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: multi-turn | 1301 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: longer queries | 1325 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: writing and language | 1269 | Not measured | Only Granite 4.2 8B measured |
| LMArena Text: entertainment and media | 1271 | Not measured | Only Granite 4.2 8B measured |
| Neither model has a result on the other 36 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 | Qwen3.8 Max Prime |
|---|---|---|
| Maker | IBM Granite | Qwen |
| Weights | Open weights | No public weights listed |
| Released | August 31, 2026 | September 23, 2026 |
| Context window | 131K | 1M |
| Input $/Mtok | $0.08 | $4.00 |
| Output $/Mtok | $0.20 | $12.00 |
| 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 Qwen3.8 Max Prime 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 60.0x cheaper ($0.20 vs $12.00 per million).
Which is cheaper, Granite 4.2 8B or Qwen3.8 Max Prime?
Granite 4.2 8B costs $0.08 per million input tokens and $0.20 per million output tokens; Qwen3.8 Max Prime costs $4.00 and $12.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Granite 4.2 8B or Qwen3.8 Max Prime?
Qwen3.8 Max Prime, with 1M tokens against 131K.
Has any benchmark tested both Granite 4.2 8B and Qwen3.8 Max Prime?
No benchmark has tested both yet. Granite 4.2 8B has results on AA Coding Index, SciCode and LMArena Text: coding; Qwen3.8 Max Prime has none yet. Compare them on price and context instead. Data as of October 22, 2026.