Macaron V1 Venti vs Sakana Namazu
Sakana Namazu comes out ahead, 50 to 44 on our weighted score, though Macaron V1 Venti is 28% cheaper per token.
Mindlab
Macaron V1 Venti
44/100- ECI—
- Price$0.825 / $2.48
- Context1.05M
- Our pick
Sakana AISakana Namazu
50/100- ECI—
- Price$0.95 / $4.00
- Context262K
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Make it a three-way comparison.
Sakana Namazu is our pick
Sakana Namazu is the better all-round choice, scoring 50/100 against Macaron V1 Venti (44). It leads on inputs & features. Macaron V1 Venti wins on price and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceMacaron V1 VentiMacaron V1 Venti $1.24 · Sakana Namazu $1.71 per 1M tokens (3:1 blend)
- Longest contextMacaron V1 VentiMacaron V1 Venti 1,048,576 · Sakana Namazu 262,144 tokens
- Widest inputsSakana NamazuMacaron V1 Venti: Text · Sakana Namazu: Text, Images, PDFs
- Self-hostingMacaron V1 VentiPublishes downloadable weights (MIT)
| Measure | Weight | Macaron V1 Venti | Sakana Namazu |
|---|---|---|---|
| Price | 50% | 44 | 37 |
| Inputs & features | 30% | 35 | 80 |
| Context window | 20% | 61 | 37 |
| Overall | 100% | 44/100 | 50/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Macaron V1 VentiMindlab | Sakana NamazuSakana AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.825 (best) | $0.95 |
| Output | $2.48 (best) | $4.00 |
| Cached input | — | $0.15 |
| Blended (3:1) | $1.24 (best) | $1.71 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Sakana AI API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | OpenMIT | Proprietary |
| API model ID | — | sakana-namazu |
| API providers | 1 | 5 (best) |
| Released | Jul 21, 2026 | Aug 3, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Macaron V1 Venti$13.20
- Sakana Namazu$17.50
Which should you choose?
Which is better: Macaron V1 Venti or Sakana Namazu?
Sakana Namazu is the better all-round choice, scoring 50/100 against Macaron V1 Venti (44). It leads on inputs & features. Macaron V1 Venti wins on price and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Macaron V1 Venti or Sakana Namazu?
Macaron V1 Venti is cheaper at $0.825 input / $2.48 output per million tokens (median across 1 API provider). Sakana Namazu costs $0.95 input / $4.00 output per million tokens (official Sakana AI API price). At a typical mix of three input tokens to one output token, that is $1.24 per million tokens for Macaron V1 Venti versus $1.71 for Sakana Namazu (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Macaron V1 Venti has not been scored yet and Sakana Namazu has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Macaron V1 Venti and Sakana Namazu yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Macaron V1 Venti has the largest context window at 1,048,576 tokens, against 262,144 for Sakana Namazu. Maximum output per response: Macaron V1 Venti up to 131,072, Sakana Namazu up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Macaron V1 Venti accepts text; Sakana Namazu accepts text, images and PDFs. Sakana Namazu handles the widest range of inputs.
Are any of these open source?
Macaron V1 Venti publishes its weights (MIT) and can be self-hosted; Sakana Namazu is proprietary.
Which is newer?
Sakana Namazu is the newest, released Aug 3, 2026. Macaron V1 Venti came out Jul 21, 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
