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 Gemini 3.5 Flash for speed — roughly 4x faster than rivals or cost — about a third the price. On a tight budget at scale, Gemini 3.5 Flash is the value pick.
Fugu Max (Sakana AI) and Gemini 3.5 Flash (Google) 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. Gemini 3.5 Flash is google's fast, cheap class that now beats last year's premium Pro — the value-and-reach play. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences
Price: Gemini 3.5 Flash is about 1.3× cheaper on input ($1.5/$9 per 1M tokens vs $2/$6 per 1M tokens) — modest, but it adds up at steady volume.
Context window: both advertise 1M tokens (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
Recency: Fugu Max is the newer model by about 4 months (released September 10, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Fugu Max
Gemini 3.5 Flash
Provider
Sakana AI (Global)
Google (US)
Released
September 10, 2026
May 19, 2026
Context window
1M tokens (~1,500 pages)
1M (~1,500 pages)
Price (in/out)
$2/$6 per 1M tokens
$1.5/$9 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text
text, image, audio, 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 — 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 is the newer of the two.
1M-token context window at $2/$6 per million tokens: Fugu Max — Fugu Max lists 1M-token context window at $2/$6 per million tokens among its strengths; Gemini 3.5 Flash does not.
OpenAI-compatible API — drop-in replacement for single-model integrations: Fugu Max — Fugu Max lists openAI-compatible API — drop-in replacement for single-model integrations among its strengths; Gemini 3.5 Flash does not.
Speed — roughly 4x faster than rivals: Gemini 3.5 Flash — Google's fast, cheap class that now beats last year's premium Pro — the value-and-reach play — and it runs cheaper at $1.5/$9 per 1M tokens.
Cost — about a third the price: Gemini 3.5 Flash — At $1.5/$9 per 1M tokens it undercuts Fugu Max ($2/$6 per 1M tokens), and that gap compounds at volume.
Default in the Gemini app and Search AI Mode: Gemini 3.5 Flash — Gemini 3.5 Flash lists default in the Gemini app and Search AI Mode among its strengths; Fugu Max does not.
Lowest cost at scale: Gemini 3.5 Flash — At $1.5/$9 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: Gemini 3.5 Flash — At $1.5/$9 per 1M tokens it undercuts Fugu Max, and on millions of tokens that margin decides the monthly bill.
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 speed — roughly 4x faster than rivals: Gemini 3.5 Flash — 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.
Gemini 3.5 Flash: where it fits
Google's fast, cheap class that now beats last year's premium Pro — the value-and-reach play. Released May 19, 2026 by Google, it is built for speed — roughly 4x faster than rivals, cost — about a third the price, default in the Gemini app and Search AI Mode, and high-volume multimodal work.
Its trade-offs: flash tier, not the deepest reasoning, and pro-tier 3.5 held back at launch. At $1.5 in / $9 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Fugu Max and Gemini 3.5 Flash overlap enough that the right pick depends on your specific job. Gemini 3.5 Flash costs less per token; 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%, Gemini 3.5 Flash for speed — roughly 4x faster than rivals. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Fugu Max or Gemini 3.5 Flash 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 Gemini 3.5 Flash leans toward speed — roughly 4x faster than rivals, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Fugu Max or Gemini 3.5 Flash?
Gemini 3.5 Flash is cheaper — $2/$6 per 1M tokens vs $1.5/$9 per 1M tokens, roughly 1.3× apart on input.
Which has the bigger context window?
Both advertise 1M tokens (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Fugu Max and Gemini 3.5 Flash together?
Yes — a multi-model platform like LumiChats gives you Fugu Max, Gemini 3.5 Flash 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 Gemini 3.5 Flash?
Fugu Max — released September 10, 2026, about 4 months after Gemini 3.5 Flash.
Fugu Max vs Gemini 3.5 Flash
Sakana AI · Global | Google · US · 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 Gemini 3.5 Flash for speed — roughly 4x faster than rivals or cost — about a third the price. On a tight budget at scale, Gemini 3.5 Flash is the value pick.
Fugu Max (Sakana AI) and Gemini 3.5 Flash (Google) 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. Gemini 3.5 Flash is google's fast, cheap class that now beats last year's premium Pro — the value-and-reach play. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences at a glance
▸Price: Gemini 3.5 Flash is about 1.3× cheaper on input ($1.5/$9 per 1M tokens vs $2/$6 per 1M tokens) — modest, but it adds up at steady volume.
▸Context window: both advertise 1M tokens (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
▸Recency: Fugu Max is the newer model by about 4 months (released September 10, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Fugu Max
Gemini 3.5 Flash
Provider
Sakana AI (Global)
Google (US)
Released
September 10, 2026
May 19, 2026
Context window
1M tokens (~1,500 pages)
1M (~1,500 pages)
Price (in/out)
$2/$6 per 1M tokens
$1.5/$9 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text
text, image, audio, 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
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 is the newer of the two.
1M-token context window at $2/$6 per million tokens
Fugu Max
Fugu Max lists 1M-token context window at $2/$6 per million tokens among its strengths; Gemini 3.5 Flash does not.
OpenAI-compatible API — drop-in replacement for single-model integrations
Fugu Max
Fugu Max lists openAI-compatible API — drop-in replacement for single-model integrations among its strengths; Gemini 3.5 Flash does not.
Speed — roughly 4x faster than rivals
Gemini 3.5 Flash
Google's fast, cheap class that now beats last year's premium Pro — the value-and-reach play — and it runs cheaper at $1.5/$9 per 1M tokens.
Cost — about a third the price
Gemini 3.5 Flash
At $1.5/$9 per 1M tokens it undercuts Fugu Max ($2/$6 per 1M tokens), and that gap compounds at volume.
Default in the Gemini app and Search AI Mode
Gemini 3.5 Flash
Gemini 3.5 Flash lists default in the Gemini app and Search AI Mode among its strengths; Fugu Max does not.
Lowest cost at scale
Gemini 3.5 Flash
At $1.5/$9 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
→ Gemini 3.5 Flash
At $1.5/$9 per 1M tokens it undercuts Fugu Max, and on millions of tokens that margin decides the monthly bill.
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 speed — roughly 4x faster than rivals
→ Gemini 3.5 Flash
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.
Gemini 3.5 Flash: where it fits
Google's fast, cheap class that now beats last year's premium Pro — the value-and-reach play. Released May 19, 2026 by Google, it is built for speed — roughly 4x faster than rivals, cost — about a third the price, default in the Gemini app and Search AI Mode, and high-volume multimodal work.
Its trade-offs: flash tier, not the deepest reasoning, and pro-tier 3.5 held back at launch. At $1.5 in / $9 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Fugu Max and Gemini 3.5 Flash overlap enough that the right pick depends on your specific job. Gemini 3.5 Flash costs less per token; 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%, Gemini 3.5 Flash for speed — roughly 4x faster than rivals. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Fugu Max and Gemini 3.5 Flash 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.
Is Fugu Max or Gemini 3.5 Flash 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 Gemini 3.5 Flash leans toward speed — roughly 4x faster than rivals, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Fugu Max or Gemini 3.5 Flash?
Gemini 3.5 Flash is cheaper — $2/$6 per 1M tokens vs $1.5/$9 per 1M tokens, roughly 1.3× apart on input.
Which has the bigger context window?
Both advertise 1M tokens (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both Fugu Max and Gemini 3.5 Flash together?
Yes — a multi-model platform like LumiChats gives you Fugu Max, Gemini 3.5 Flash 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 Gemini 3.5 Flash?
Fugu Max — released September 10, 2026, about 4 months after Gemini 3.5 Flash.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.