Alibaba
Qwen3.7 Max
Qwen3.7 Max from Alibaba: Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks.
- Context
- 1M
- Max output
- 65.54K
- Input / 1M tokens
- $2.50
- Output / 1M tokens
- $7.50
Accepts
- Text input
Produces
- Text output
AI model comparison
Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.
Qwen3.7 Max from Alibaba lists 1M context, 65.54K maximum output, $2.50 input per 1M tokens, $7.50 output per 1M tokens. Fugu Ultra from Sakana AI lists 1M context, $5.00 input per 1M tokens, $30.00 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.
Alibaba
Qwen3.7 Max from Alibaba: Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks.
Accepts
Produces
Sakana AI
Fugu Ultra from Sakana AI: Quality-first multi-agent model for hard research, analysis, and competitions.
Accepts
Produces
At a glance
Compare the available figures below, then try both models on the work you need to do.
Qwen3.7 Max
Context capacity
Higher listed limit
Qwen3.7 Max:1M
Fugu Ultra:1M
Same value
Input price
Lower listed token rate
Qwen3.7 Max:$2.50
Fugu Ultra:$5.00
Qwen3.7 Max
Output price
Lower listed token rate
Qwen3.7 Max:$7.50
Fugu Ultra:$30.00
Qwen3.7 Max
Specifications
| Specification | Qwen3.7 Max | Fugu Ultra |
|---|---|---|
| Provider | Alibaba | Sakana AI |
| Listed pricing route | Alibaba | Sakana AI |
| Model family | qwen | fugu |
| Accepted inputs | text | text, image |
| Produced outputs | text | text |
| Context window | 1M | 1M |
| Max output | 65.54K | — |
| Input price / 1M | $2.50Lower | $5.00 |
| Output price / 1M | $7.50Lower | $30.00 |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Not documented | Documented |
| Audio input | Not documented | Not documented |
| Structured output | Not documented | Documented |
| License | Proprietary | Proprietary |
Workload guidance
Consider Qwen3.7 Max if you need a lower listed input rate or a lower listed output rate. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.
Explore each model’s features, API requirements and licence terms in the sources below.
Qwen3.7 Max
Alibaba
Profile updated Oct 13, 2026
Fugu Ultra
Sakana AI
Profile updated Oct 13, 2026
Documentation and references ↗Search by model or provider to explore another comparison.