Qwen3 VL 30B A3B Instruct vs Fugu Ultra
Qwen3 VL 30B A3B Instruct costs 42.9x less per output token than Fugu Ultra ($0.70 vs $30.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.70
- Coding
- No data
- Overall
- No data
- Output $/M
- $30.00
Qwen3 VL 30B A3B Instruct or Fugu Ultra: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 VL 30B A3B Instruct for output tokens 42.9x cheaper ($0.70 vs $30.00 per million).
No benchmark has tested both yet. Qwen3 VL 30B A3B Instruct has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and AA Intelligence Index; 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 VL 30B A3B Instruct has a AA Intelligence Index result, 7.9.
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 VL 30B A3B Instruct
Qwen3 VL 30B A3B Instruct $0.0006, Fugu Ultra $0.020 per turn.
List prices
At a glance
- Coding index
- Qwen3 VL 30B A3B Instruct 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 VL 30B A3B Instruct $0.70 against Fugu Ultra $30.00 per million output tokens, 42.9x apart.
- Context window
- Qwen3 VL 30B A3B Instruct 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 Index2 boards measured
| Benchmark | Qwen3 VL 30B A3B Instruct | Fugu Ultra | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 69.7% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Terminal-Bench Hard (Artificial Analysis run) | 6.1% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 41 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 VL 30B A3B Instruct | Fugu Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.9 | Not measured | Only Qwen3 VL 30B A3B Instruct 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 | Qwen3 VL 30B A3B Instruct | Fugu Ultra | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 19.9% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3 VL 30B A3B Instruct | Fugu Ultra | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 72.0% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | 8.9% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 21 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3 VL 30B A3B Instruct | Fugu Ultra | Leader |
|---|---|---|---|
| AA Math Index | 82.3 | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| AIME 2025 (Artificial Analysis run) | 82.3% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 VL 30B A3B Instruct | Fugu Ultra | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 80.7% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 19 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Qwen3 VL 30B A3B Instruct | Fugu Ultra | Leader |
|---|---|---|---|
| IFBench | 45.1% | Not measured | Only Qwen3 VL 30B A3B Instruct measured |
| Neither model has a result on the other 47 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 VL 30B A3B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen3 VL 30B A3B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen3 VL 30B A3B Instruct 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 VL 30B A3B Instruct | Sakana Fugu Ultra |
|---|---|---|
| Maker | Qwen | Sakana |
| Weights | Open weights | No public weights listed |
| Released | October 6, 2025 | June 24, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.20 | $5.00 |
| Output $/Mtok | $0.70 | $30.00 |
| 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 Qwen3 VL 30B A3B Instruct better than Fugu Ultra for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 VL 30B A3B Instruct for output tokens 42.9x cheaper ($0.70 vs $30.00 per million).
Which is cheaper, Qwen3 VL 30B A3B Instruct or Fugu Ultra?
Qwen3 VL 30B A3B Instruct costs $0.20 per million input tokens and $0.70 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 VL 30B A3B Instruct or Fugu Ultra?
Fugu Ultra, with 1M tokens against 262K.
Has any benchmark tested both Qwen3 VL 30B A3B Instruct and Fugu Ultra?
No benchmark has tested both yet. Qwen3 VL 30B A3B Instruct has results on LiveCodeBench (Artificial Analysis run), Terminal-Bench Hard (Artificial Analysis run) and AA Intelligence Index; Fugu Ultra has none yet. Compare them on price and context instead. Data as of October 23, 2026.