Gemini Robotics-ER 1.6 Preview vs Sakana Namazu
Too close to call on our weighted score (Sakana Namazu 51, Gemini Robotics-ER 1.6 Preview 50). The right pick depends on what you value most.
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Gemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
Sakana AI
Sakana Namazu
51/100- ECI—
- Price$0.95 / $4.00
- Context262K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (Sakana Namazu 51/100, Gemini Robotics-ER 1.6 Preview 50/100), so choose by what matters most for your work: Sakana Namazu on price and Sakana Namazu for long inputs. 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 priceSakana NamazuSakana Namazu $1.71 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextSakana NamazuSakana Namazu 262,144 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · Sakana Namazu: Text, Images, PDFs
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | Gemini Robotics-ER 1.6 Preview | Sakana Namazu |
|---|---|---|---|
| Price | 50% | 36 | 39 |
| Inputs & features | 30% | 90 | 80 |
| Context window | 20% | 24 | 37 |
| Overall | 100% | 50/100 | 51/100 |
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 | Sakana NamazuSakana AI | |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.00 | $0.95 (best) |
| Output | $5.00 | $4.00 (best) |
| Cached input | — | $0.15 |
| Blended (3:1) | $2.00 | $1.71 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Sakana AI API |
| Limits | ||
| Context window | 131,072 tokens | 262,144 tokens (best) |
| Max output | 65,536 tokens | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | sakana-namazu |
| API providers | 1 | 5 (best) |
| Released | Apr 14, 2026 | Aug 3, 2026 |
| Knowledge cutoff | Jan 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini Robotics-ER 1.6 Preview$20.00
- Sakana Namazu$17.50
Which should you choose?
Which is better: Gemini Robotics-ER 1.6 Preview or Sakana Namazu?
It is close. Our weighted score puts them within 1 points (Sakana Namazu 51/100, Gemini Robotics-ER 1.6 Preview 50/100), so choose by what matters most for your work: Sakana Namazu on price and Sakana Namazu for long inputs. 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, Gemini Robotics-ER 1.6 Preview or Sakana Namazu?
Sakana Namazu is cheaper at $0.95 input / $4.00 output per million tokens (official Sakana AI API price). Gemini Robotics-ER 1.6 Preview costs $1.00 input / $5.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Sakana Namazu versus $2.00 for Gemini Robotics-ER 1.6 Preview (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemini Robotics-ER 1.6 Preview 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 Gemini Robotics-ER 1.6 Preview 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?
Sakana Namazu has the largest context window at 262,144 tokens, against 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, Sakana Namazu up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; Sakana Namazu accepts text, images and PDFs. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.
Are any of these open source?
No. Gemini Robotics-ER 1.6 Preview and Sakana Namazu are proprietary and only available through APIs and apps.
Which is newer?
Sakana Namazu is the newest, released Aug 3, 2026. Gemini Robotics-ER 1.6 Preview came out Apr 14, 2026. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 2025.
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 Oct 4, 2026.