Fugu Ultra v2 vs GPT-5.6 Cyber vs Ember-1
Ember-1 comes out ahead, 36 to 33 and 30 on our weighted score, and it is the cheaper option too.
Sakana AIFugu Ultra v2
33/100- ECI—
- Price$5.00 / $30.00
- Context1M
OpenAIGPT-5.6 Cyber
30/100- ECI—
- Price$12.50 / $75.00
- Context400K
- Our pick
Fireworks AIEmber-1
36/100- ECI—
- Price$3.00 / $15.00
- Context1.05M
Ember-1 is our pick
Ember-1 is the better all-round choice, scoring 36/100 against Fugu Ultra v2 (33) and GPT-5.6 Cyber (30). It leads on price. 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 priceEmber-1Ember-1 $6.00 · Fugu Ultra v2 $11.25 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
- Longest contextEmber-1Ember-1 1,048,576 · Fugu Ultra v2 1,000,000 · GPT-5.6 Cyber 400,000 tokens
- Widest inputsFugu Ultra v2Fugu Ultra v2: Text, Images, PDFs · GPT-5.6 Cyber: Text, Images · Ember-1: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Fugu Ultra v2 | GPT-5.6 Cyber | Ember-1 |
|---|---|---|---|---|
| Price | 50% | 0 | 0 | 12 |
| Inputs & features | 30% | 70 | 70 | 60 |
| Context window | 20% | 60 | 44 | 61 |
| Overall | 100% | 33/100 | 30/100 | 36/100 |
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 | Fugu Ultra v2Sakana AI | GPT-5.6 CyberOpenAI | Ember-1Fireworks AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $5.00 | $12.50 | $3.00 (best) |
| Output | $30.00 | $75.00 | $15.00 (best) |
| Cached input | — | $1.25 | — |
| Blended (3:1) | $11.25 | $28.13 | $6.00 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 6 providers | Official OpenAI API | Median of 7 providers |
| Limits | |||
| Context window | 1,000,000 tokens | 400,000 tokens | 1,048,576 tokens (best) |
| Max output | 128,000 tokens | 128,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | gpt-daybreak-red-latest | — |
| API providers | 6 | 1 | 7 (best) |
| Released | Sep 11, 2026 | Aug 7, 2026 | Sep 22, 2026 |
| Knowledge cutoff | Aug 28, 2026 | Feb 16, 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Fugu Ultra v2$110.00
- GPT-5.6 Cyber$275.00
- Ember-1$60.00
Which should you choose?
Which is better: Fugu Ultra v2, GPT-5.6 Cyber or Ember-1?
Ember-1 is the better all-round choice, scoring 36/100 against Fugu Ultra v2 (33) and GPT-5.6 Cyber (30). It leads on price. 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, Fugu Ultra v2, GPT-5.6 Cyber or Ember-1?
Ember-1 is cheaper at $3.00 input / $15.00 output per million tokens (median across 7 API providers). Fugu Ultra v2 costs $5.00 input / $30.00 output per million tokens (median across 6 API providers); GPT-5.6 Cyber costs $12.50 input / $75.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $6.00 per million tokens for Ember-1 versus $11.25 for Fugu Ultra v2 (1.9× as much) and $28.13 for GPT-5.6 Cyber (4.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Fugu Ultra v2 has not been scored yet, GPT-5.6 Cyber has not been scored yet and Ember-1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Fugu Ultra v2, GPT-5.6 Cyber and Ember-1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Ember-1 has the largest context window at 1,048,576 tokens, against 1,000,000 for Fugu Ultra v2 and 400,000 for GPT-5.6 Cyber. Maximum output per response: Fugu Ultra v2 up to 128,000, GPT-5.6 Cyber up to 128,000, Ember-1 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Fugu Ultra v2 accepts text, images and PDFs; GPT-5.6 Cyber accepts text and images; Ember-1 accepts text and images. Fugu Ultra v2 handles the widest range of inputs.
Are any of these open source?
No. Fugu Ultra v2, GPT-5.6 Cyber and Ember-1 are proprietary and only available through APIs and apps.
Which is newer?
Ember-1 is the newest, released Sep 22, 2026. Fugu Ultra v2 came out Sep 11, 2026; GPT-5.6 Cyber came out Aug 7, 2026. Knowledge cutoff: Fugu Ultra v2 Aug 28, 2026, GPT-5.6 Cyber Feb 16, 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.
