Qwen3.5 397B A17B vs Fugu Ultra
Qwen3.5 397B A17B costs 12.8x less per output token than Fugu Ultra ($2.34 vs $30.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- 57.2
- Output $/M
- $2.34
- Coding
- No data
- Overall
- No data
- Output $/M
- $30.00
Qwen3.5 397B A17B or Fugu Ultra: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.5 397B A17B for output tokens 12.8x cheaper ($2.34 vs $30.00 per million).
No benchmark has tested both yet. Qwen3.5 397B A17B has results on LMArena WebDev, SciCode and Terminal-Bench Hard (Artificial Analysis run); Fugu Ultra 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 Qwen3.5 397B A17B has a AA Intelligence Index result, 21.4.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.5 397B A17B has a Design Arena: websites result, 1190.
Directional only
Long documents
Listed context window
Fugu Ultra
Fugu Ultra takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5 397B A17B
Qwen3.5 397B A17B $0.0016, Fugu Ultra $0.020 per turn.
List prices
At a glance
- Coding index
- Qwen3.5 397B A17B not benchmarked, Fugu Ultra 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
- Qwen3.5 397B A17B $2.34 against Fugu Ultra $30.00 per million output tokens, 12.8x apart.
- Context window
- Qwen3.5 397B A17B takes 262K tokens, Fugu Ultra 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 Index8 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| LMArena WebDev | 1400 | Not measured | Only Qwen3.5 397B A17B measured |
| SciCode | 44.8% | Not measured | Only Qwen3.5 397B A17B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 40.9% | Not measured | Only Qwen3.5 397B A17B measured |
| ALE-Bench | 621.9 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: coding | 1465 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: software and IT | 1463 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena WebDev: React | 1388 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena WebDev: HTML | 1409 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.4 | Not measured | Only Qwen3.5 397B A17B measured |
| Epoch Capabilities Index | 146.8 | Not measured | Only Qwen3.5 397B A17B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 95.6% | Not measured | Only Qwen3.5 397B A17B measured |
| APEX-Agents | 24.9% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 89.3% | Not measured | Only Qwen3.5 397B A17B measured |
| Humanity's Last Exam (Artificial Analysis run) | 29.0% | Not measured | Only Qwen3.5 397B A17B measured |
| GPQA Diamond (Epoch AI run) | 86.4% | Not measured | Only Qwen3.5 397B A17B measured |
| Mystery game puzzles | 18.0% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts | 1448 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: expert | 1462 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts in English | 1450 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: diagrams | 1277 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: homework | 1292 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| OTIS Mock AIME | 88.9% | Not measured | Only Qwen3.5 397B A17B measured |
| FrontierMath, tiers 1 to 3 | 31.2% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: math | 1454 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: mathematical work | 1454 | Not measured | Only Qwen3.5 397B A17B measured |
| MathArena | 19.2% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| LMArena Text: science | 1457 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: medicine and healthcare | 1455 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: legal and government | 1441 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: business and finance | 1435 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 16 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 1190 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: UI components | 1161 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: game dev | 1140 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: data viz | 1175 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: 3D | 1162 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: all code categories | 1179 | Not measured | Only Qwen3.5 397B A17B measured |
| Design Arena: SVG | 1139 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 2 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards measured
| Benchmark | Qwen3.5 397B A17B | Fugu Ultra | Leader |
|---|---|---|---|
| IFBench | 78.8% | Not measured | Only Qwen3.5 397B A17B measured |
| Long context reasoning (AA-LCR) | 77.3% | Not measured | Only Qwen3.5 397B A17B measured |
| DTBench | 87.5% | Not measured | Only Qwen3.5 397B A17B measured |
| LMCA | 37.9% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text | 1438 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: instruction following | 1423 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: creative writing | 1402 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: English | 1443 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: non-English | 1430 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Chinese | 1499 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: German | 1444 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Japanese | 1430 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Korean | 1385 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: French | 1462 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Spanish | 1441 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Russian | 1430 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Polish | 1448 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: multi-turn | 1447 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: longer queries | 1441 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: writing and language | 1416 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: entertainment and media | 1399 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: English | 1268 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: Chinese | 1314 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: reading text | 1271 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: humor | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: captioning | 1230 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: recognizing things | 1265 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: creative writing | 1260 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 19 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
Qwen3.5 397B A17B costs less
Repository review
50K input + 3K output tokens
Qwen3.5 397B A17B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5 397B A17B 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 | Qwen3.5 397B A17B | Sakana Fugu Ultra |
|---|---|---|
| Maker | Qwen | Sakana |
| Weights | Open weights | No public weights listed |
| Released | February 16, 2026 | June 24, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.39 | $5.00 |
| Output $/Mtok | $2.34 | $30.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5 397B A17B better than Fugu Ultra for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for output tokens 12.8x cheaper ($2.34 vs $30.00 per million).
Which is cheaper, Qwen3.5 397B A17B or Fugu Ultra?
Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 per million output tokens; Fugu Ultra costs $5.00 and $30.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.5 397B A17B or Fugu Ultra?
Fugu Ultra, with 1M tokens against 262K.
Has any benchmark tested both Qwen3.5 397B A17B and Fugu Ultra?
No benchmark has tested both yet. Qwen3.5 397B A17B has results on LMArena WebDev, SciCode and Terminal-Bench Hard (Artificial Analysis run); Fugu Ultra has none yet. Compare them on price and context instead. Data as of October 23, 2026.