Qwen3.8 Max (0902) vs Fugu Ultra v2
Qwen3.8 Max (0902) costs 5.0x less per output token than Fugu Ultra v2 ($6.00 vs $30.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.
Qwen3.8 Max (0902)Qwen
- Coding
- 67.1
- Overall
- 70.1
- Output $/M
- $6.00
Fugu Ultra v2Sakana
- Coding
- No data
- Overall
- No data
- Output $/M
- $30.00
vs $6.00 vs $30.00 per 1M output tokens. Qwen3.8 Max (0902) is 5.0x cheaper.
Qwen3.8 Max (0902) or Fugu Ultra v2: which to pick
Only Qwen3.8 Max (0902) has a coding score, 67.1 on the Vibe Coding Index; Fugu Ultra v2 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
Model AQwen3.8 Max (0902)Qwen67.1/1005 independent benchmarks$1.32 per solved taskModel BFugu Ultra v2SakanaNot benchmarkedNo coding benchmarkNo cost per solved task
No benchmark has tested both yet. Qwen3.8 Max (0902) has results on LiveBench coding, LMArena WebDev and AA Coding Index; Fugu Ultra v2 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
Only Qwen3.8 Max (0902) has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3.8 Max (0902) has a AA Intelligence Index result, 45.4.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3.8 Max (0902) has a AA Agentic Index result, 56.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.8 Max (0902) has a GPQA Diamond result, 93.7%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 Max (0902) has a MMLU Pro result, 88.6%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.8 Max (0902) has a Design Arena: websites result, 1276.
Directional only
General
Vals Index
No call
Only Qwen3.8 Max (0902) has a Vals Index result, 59.1%.
Directional only
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) $0.0050, Fugu Ultra v2 $0.020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 Max (0902) has the number, $1.32.
Directional only
At a glance
- Coding index
- Qwen3.8 Max (0902) 67.1 from 5 benchmarks, Fugu Ultra v2 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
- Qwen3.8 Max (0902) $6.00 against Fugu Ultra v2 $30.00 per million output tokens, 5.0x apart.
- Context window
- Both take 1M tokens.
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 Index22 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| LiveBench coding | 60.3% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev | 1673 | Not measured | Only Qwen3.8 Max (0902) measured |
| AA Coding Index | 76.2 | Not measured | Only Qwen3.8 Max (0902) measured |
| LiveCodeBench (Vals AI) | 87.8% | Not measured | Only Qwen3.8 Max (0902) measured |
| SWE-bench Verified (Vals AI) | 85.6% | Not measured | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 4 (Vals AI) | 38.9% | Not measured | Only Qwen3.8 Max (0902) measured |
| Vibe Code Bench (Vals AI) | 77.1% | Not measured | Only Qwen3.8 Max (0902) measured |
| Code migration (Vals AI) | 24.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| IOI (Vals AI) | 68.9% | Not measured | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench 2.1 (Vals AI) | 67.4% | Not measured | Only Qwen3.8 Max (0902) measured |
| SWE-bench Multimodal (Vals AI) | 42.5% | Not measured | Only Qwen3.8 Max (0902) measured |
| Vibe Code Bench 1-100 (Vals AI) | 24.8% | Not measured | Only Qwen3.8 Max (0902) measured |
| SkillsBench (Vals AI) | 42.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| CyberBench (Vals AI) | 28.6% | Not measured | Only Qwen3.8 Max (0902) measured |
| SciCode | 53.2% | Not measured | Only Qwen3.8 Max (0902) measured |
| FrontierSWE | 17.8% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: coding | 1503 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: software and IT | 1498 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev: React | 1690 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev: HTML | 1652 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena WebDev: from an image | 1637 | Not measured | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 45.4 | Not measured | Only Qwen3.8 Max (0902) measured |
| Epoch Capabilities Index | 157.4 | Not measured | Only Qwen3.8 Max (0902) measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| AA Agentic Index | 56.0 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building web apps | 1300 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building full-stack apps | 1305 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building mobile apps | 1224 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Android apps | 1194 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: agents building Godot games | 1234 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: PowerPoint slides | 1226 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: spreadsheets | 995 | Not measured | Only Qwen3.8 Max (0902) measured |
| LiveBench research | 69.9% | Not measured | Only Qwen3.8 Max (0902) measured |
| LiveBench browser | 32.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| LiveBench long agentic | 42.3% | Not measured | Only Qwen3.8 Max (0902) measured |
| Finance Agent (Vals AI) | 57.9% | Not measured | Only Qwen3.8 Max (0902) measured |
| Tax Agent Bench (Vals AI) | 49.7% | Not measured | Only Qwen3.8 Max (0902) measured |
| Legal Research Bench (Vals AI) | 47.6% | Not measured | Only Qwen3.8 Max (0902) measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 15.4% | Not measured | Only Qwen3.8 Max (0902) measured |
| Excel Modeling Benchmark (Vals AI) | 72.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| Terminal-Bench-Science (Vals AI) | 12.9% | Not measured | Only Qwen3.8 Max (0902) measured |
| APEX-Agents | 63.3% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Search | 1261 | Not measured | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.7% | Not measured | Only Qwen3.8 Max (0902) measured |
| LiveBench reasoning | 88.2% | Not measured | Only Qwen3.8 Max (0902) measured |
| MysteryMechanism (Vals AI) | 23.9% | Not measured | Only Qwen3.8 Max (0902) measured |
| MMMU Pro (Vals AI) | 88.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | Not measured | Only Qwen3.8 Max (0902) measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | Not measured | Only Qwen3.8 Max (0902) measured |
| GPQA Diamond (Epoch AI run) | 92.7% | Not measured | Only Qwen3.8 Max (0902) measured |
| Chess puzzles | 46.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| Mystery game puzzles | 38.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: hard prompts | 1497 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: expert | 1507 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: hard prompts in English | 1504 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: diagrams | 1323 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: homework | 1336 | Not measured | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 9 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tiers 1 to 3 | 74.7% | Not measured | Only Qwen3.8 Max (0902) measured |
| FrontierMath, tier 4 | 46.3% | Not measured | Only Qwen3.8 Max (0902) measured |
| ProofBench | 58.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: math | 1501 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: mathematical work | 1491 | Not measured | Only Qwen3.8 Max (0902) measured |
| MathArena | 51.6% | Not measured | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| MMLU Pro | 88.6% | Not measured | Only Qwen3.8 Max (0902) measured |
| LegalBench (Vals AI) | 83.6% | Not measured | Only Qwen3.8 Max (0902) measured |
| CorpFin (Vals AI) | 65.8% | Not measured | Only Qwen3.8 Max (0902) measured |
| TaxEval (Vals AI) | 75.5% | Not measured | Only Qwen3.8 Max (0902) measured |
| MortgageTax (Vals AI) | 64.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| MedCode (Vals AI) | 40.7% | Not measured | Only Qwen3.8 Max (0902) measured |
| SimpleQA Verified | 47.3% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: science | 1512 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: medicine and healthcare | 1503 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: legal and government | 1494 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: business and finance | 1481 | Not measured | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 9 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1276 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: UI components | 1336 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: game dev | 1313 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: data viz | 1282 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: 3D | 1338 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: all code categories | 1293 | Not measured | Only Qwen3.8 Max (0902) measured |
| Design Arena: ASCII art | 1200 | Not measured | Only Qwen3.8 Max (0902) measured |
| LiveBench design | 78.6% | Not measured | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards measured
| Benchmark | Qwen3.8 Max (0902) | Fugu Ultra v2 | Leader |
|---|---|---|---|
| Vals Index | 59.1% | Not measured | Only Qwen3.8 Max (0902) measured |
| LiveBench data analysis | 78.4% | Not measured | Only Qwen3.8 Max (0902) measured |
| Public Benefits Bench (Vals AI) | 67.1% | Not measured | Only Qwen3.8 Max (0902) measured |
| SAGE (Vals AI) | 51.2% | Not measured | Only Qwen3.8 Max (0902) measured |
| MedScribe (Vals AI) | 85.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| Vals Multimodal Index | 65.4% | Not measured | Only Qwen3.8 Max (0902) measured |
| Long context reasoning (AA-LCR) | 80.3% | Not measured | Only Qwen3.8 Max (0902) measured |
| DTBench | 92.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMCA | 46.2% | Not measured | Only Qwen3.8 Max (0902) measured |
| Furniture assembly | 20.0% | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text | 1484 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: instruction following | 1481 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: creative writing | 1477 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision | 1313 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: English | 1492 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: non-English | 1473 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Chinese | 1539 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: German | 1476 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Japanese | 1473 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Korean | 1462 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: French | 1502 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Spanish | 1487 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Russian | 1482 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: Polish | 1471 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: multi-turn | 1490 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: longer queries | 1489 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: writing and language | 1477 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Text: entertainment and media | 1464 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: English | 1311 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: Chinese | 1358 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: reading text | 1322 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: humor | 1304 | Not measured | Only Qwen3.8 Max (0902) measured |
| LMArena Vision: creative writing | 1312 | Not measured | Only Qwen3.8 Max (0902) measured |
| Neither model has a result on the other 15 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
Qwen3.8 Max (0902)$0.0050Fits in one request
Fugu Ultra v2$0.020Fits in one request
Qwen3.8 Max (0902) costs less
Repository review
50K input + 3K output tokens
Qwen3.8 Max (0902)$0.118Fits in one request
Fugu Ultra v2$0.340Fits in one request
Qwen3.8 Max (0902) costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 Max (0902)$0.460Fits in one request
Fugu Ultra v2$1.30Fits in one request
Qwen3.8 Max (0902) 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 | Qwen3.8 Max (0902) | Sakana Fugu Ultra v2 |
|---|---|---|
| Maker | Qwen | Sakana |
| Weights | No public weights listed | No public weights listed |
| Released | September 3, 2026 | September 11, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $2.00 | $5.00 |
| Output $/Mtok | $6.00 | $30.00 |
| Coding index | 67.1 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | $1.32 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.8 Max (0902) better than Fugu Ultra v2 for coding?
Only Qwen3.8 Max (0902) has a coding score, 67.1 on the Vibe Coding Index; Fugu Ultra v2 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Qwen3.8 Max (0902) or Fugu Ultra v2?
Qwen3.8 Max (0902) costs $2.00 per million input tokens and $6.00 per million output tokens; Fugu Ultra v2 costs $5.00 and $30.00. Cost per solved task is known for Qwen3.8 Max (0902) only.
Which has the bigger context window, Qwen3.8 Max (0902) or Fugu Ultra v2?
Neither: both take 1M tokens.
Has any benchmark tested both Qwen3.8 Max (0902) and Fugu Ultra v2?
No benchmark has tested both yet. Qwen3.8 Max (0902) has results on LiveBench coding, LMArena WebDev and AA Coding Index; Fugu Ultra v2 has none yet. Compare them on price and context instead. Data as of October 23, 2026.