Fugu Max vs Qwen3.8 Max Prime
Sakana AI · Global | Alibaba · China · Updated June 2026
Quick verdict
Pick Fugu Max for cost-efficient multi-agent orchestration — undercuts claude sonnet 5 and kimi k3 on output cost by a claimed 40-60% or 1m-token context window at $2/$6 per million tokens. Pick Qwen3.8 Max Prime for same 2.4t-parameter moe architecture and full capability set as qwen3.8 max, repackaged for higher-throughput serving or alibaba advertises 1.5-2x higher output throughput than standard qwen3.8 max for latency-sensitive workloads. On a tight budget at scale, Fugu Max is the value pick.
Fugu Max (Sakana AI) and Qwen3.8 Max Prime (Alibaba) are two of the models people most often weigh against each other in 2026. Fugu Max is sakana AI's cost-first multi-agent orchestration model — not a single trained model, but a routed pool of models behind one API, priced at $2/$6 per million tokens. Qwen3.8 Max Prime is alibaba's September 23, 2026 high-throughput variant of Qwen3.8 Max — identical 2.4T-parameter architecture at double the price, with throughput gains public testing hasn't yet confirmed. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
- ▸Price: Fugu Max is about 2× cheaper on input ($2/$6 per 1M tokens vs $4/$12 per 1M tokens) — meaningful once you are processing millions of tokens a month.
- ▸Context window: 1M tokens vs 1M tokens — within a few percent of each other, so treat this as a tie and test on your own long inputs, since usable recall varies by model.
Side-by-side specs
| Spec | Fugu Max | Qwen3.8 Max Prime |
|---|---|---|
| Provider | Sakana AI (Global) | Alibaba (China) |
| Released | September 10, 2026 | September 23, 2026 |
| Context window | 1M tokens (~1,500 pages) | 1M tokens (~1,573 pages) |
| Price (in/out) | $2/$6 per 1M tokens | $4/$12 per 1M tokens |
| Open weight? | No — API only | No — API only |
| Modalities | text | text, image, video, code |
| SWE-Bench Verified | Not published | Not published |
| MRCR v2 @ 1M | Not published | Not published |
Who wins what
Cost-efficient multi-agent orchestration — undercuts Claude Sonnet 5 and Kimi K3 on output cost by a claimed 40-60%
Fugu Max
At $2/$6 per 1M tokens it undercuts Qwen3.8 Max Prime ($4/$12 per 1M tokens), and that gap compounds at volume.
1M-token context window at $2/$6 per million tokens
Fugu Max
Sakana AI's cost-first multi-agent orchestration model — not a single trained model, but a routed pool of models behind one API, priced at $2/$6 per million tokens — and it runs cheaper at $2/$6 per 1M tokens.
OpenAI-compatible API — drop-in replacement for single-model integrations
Fugu Max
Qwen3.8 Max Prime is comparatively weak here — no official Alibaba announcement — Alibaba Cloud's Model Studio documentation still lists only qwen3.8-max and its September 2 snapshot, suggesting minimal official backing
Same 2.4T-parameter MoE architecture and full capability set as Qwen3.8 Max, repackaged for higher-throughput serving
Qwen3.8 Max Prime
Alibaba's September 23, 2026 high-throughput variant of Qwen3.8 Max — identical 2.4T-parameter architecture at double the price, with throughput gains public testing hasn't yet confirmed — and it is the newer of the two.
Alibaba advertises 1.5-2x higher output throughput than standard Qwen3.8 Max for latency-sensitive workloads
Qwen3.8 Max Prime
Qwen3.8 Max Prime lists alibaba advertises 1.5-2x higher output throughput than standard Qwen3.8 Max for latency-sensitive workloads among its strengths; Fugu Max does not.
1M-token context window with up to 131,072 output tokens, reasoning enabled by default
Qwen3.8 Max Prime
Fugu Max is comparatively weak here — the cheaper sibling to Fugu Ultra v2 — lower ceiling on the hardest reasoning tasks
Lowest cost at scale
Fugu Max
At $2/$6 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Fugu Max
At $2/$6 per 1M tokens it undercuts Qwen3.8 Max Prime, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Qwen3.8 Max Prime
Larger 1M tokens window fits more in one prompt.
Anyone whose priority is cost-efficient multi-agent orchestration — undercuts claude sonnet 5 and kimi k3 on output cost by a claimed 40-60%
→ Fugu Max
It is specifically built for that.
Anyone whose priority is same 2.4t-parameter moe architecture and full capability set as qwen3.8 max, repackaged for higher-throughput serving
→ Qwen3.8 Max Prime
That is its strongest area.
Fugu Max: where it fits
Sakana AI's cost-first multi-agent orchestration model — not a single trained model, but a routed pool of models behind one API, priced at $2/$6 per million tokens. Released September 10, 2026 by Sakana AI, it is built for cost-efficient multi-agent orchestration — undercuts Claude Sonnet 5 and Kimi K3 on output cost by a claimed 40-60%, 1M-token context window at $2/$6 per million tokens, and openAI-compatible API — drop-in replacement for single-model integrations.
Its trade-offs are real: not a single trained model — Sakana describes Fugu as "a Multi-Agent System, Delivered as One Model" that routes tasks across a pool of other models, so raw benchmark comparisons to monolithic models can be misleading, the cheaper sibling to Fugu Ultra v2 — lower ceiling on the hardest reasoning tasks, and a young, first-generation product from Sakana AI's orchestration approach, unproven at scale versus established frontier labs. At $2 in / $6 out per million tokens, it sits in the mid price band.
Qwen3.8 Max Prime: where it fits
Alibaba's September 23, 2026 high-throughput variant of Qwen3.8 Max — identical 2.4T-parameter architecture at double the price, with throughput gains public testing hasn't yet confirmed. Released September 23, 2026 by Alibaba, it is built for same 2.4T-parameter MoE architecture and full capability set as Qwen3.8 Max, repackaged for higher-throughput serving, alibaba advertises 1.5-2x higher output throughput than standard Qwen3.8 Max for latency-sensitive workloads, 1M-token context window with up to 131,072 output tokens, reasoning enabled by default, and accepts text, image, and video input alongside text output, inherited unchanged from the base model.
Its trade-offs: priced exactly double standard Qwen3.8 Max ($4/$12 vs $2/$6) for a throughput claim the only public measurements available don't show as measurably faster, no official Alibaba announcement — Alibaba Cloud's Model Studio documentation still lists only qwen3.8-max and its September 2 snapshot, suggesting minimal official backing, like the base model, open weights have been promised but not shipped — closed API only, and purely a speed tier, not a capability upgrade — same benchmark ceiling as the cheaper base model. At $4 in / $12 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Fugu Max and Qwen3.8 Max Prime overlap enough that the right pick depends on your specific job. Fugu Max costs less per token; Qwen3.8 Max Prime holds the larger context; and each leads in its own area — Fugu Max for cost-efficient multi-agent orchestration — undercuts claude sonnet 5 and kimi k3 on output cost by a claimed 40-60%, Qwen3.8 Max Prime for same 2.4t-parameter moe architecture and full capability set as qwen3.8 max, repackaged for higher-throughput serving. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Fugu Max and Qwen3.8 Max Prime without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
See pricingFrequently asked questions
Is Fugu Max or Qwen3.8 Max Prime better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Fugu Max leans toward cost-efficient multi-agent orchestration — undercuts claude sonnet 5 and kimi k3 on output cost by a claimed 40-60% while Qwen3.8 Max Prime leans toward same 2.4t-parameter moe architecture and full capability set as qwen3.8 max, repackaged for higher-throughput serving, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Fugu Max or Qwen3.8 Max Prime?
Fugu Max is cheaper — $2/$6 per 1M tokens vs $4/$12 per 1M tokens, roughly 2× apart on input.
Which has the bigger context window?
Effectively neither — 1M tokens vs 1M tokens is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Fugu Max and Qwen3.8 Max Prime together?
Yes — a multi-model platform like LumiChats gives you Fugu Max, Qwen3.8 Max Prime and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Fugu Max or Qwen3.8 Max Prime?
Qwen3.8 Max Prime — released September 23, 2026, about 13 days after Fugu Max.
Related comparisons
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.