GPT-6 Astra vs Fugu Ultra
GPT-6 Astra comes out ahead, 36 to 33 on our weighted score, though Fugu Ultra is 44% cheaper per token.
- Our pick
OpenAIGPT-6 Astra
36/100- ECI166.5
- Price$10.00 / $50.00
- Context1.05M
Sakana AI
Fugu Ultra
33/100- ECI—
- Price$5.00 / $30.00
- Context1M
Add a model
Make it a three-way comparison.
GPT-6 Astra is our pick
GPT-6 Astra is the better all-round choice, scoring 36/100 against Fugu Ultra (33). It leads on inputs & features. 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 priceFugu UltraFugu Ultra $11.25 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
- Longest contextGPT-6 AstraGPT-6 Astra 1,050,000 · Fugu Ultra 1,000,000 tokens
- Widest inputsGPT-6 AstraGPT-6 Astra: Text, Images, PDFs · Fugu Ultra: Text, Images
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | GPT-6 Astra | Fugu Ultra |
|---|---|---|---|
| Price | 50% | 0 | 0 |
| Inputs & features | 30% | 80 | 70 |
| Context window | 20% | 61 | 60 |
| Overall | 100% | 36/100 | 33/100 |
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 | GPT-6 AstraOpenAI | Fugu UltraSakana AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 166.5 | — |
| ECI rank | #2 of 148 | — |
| GPQA DiamondGraduate-level science questions | 95.8% | — |
| FrontierMath Tiers 1–3Research-level mathematics | 93.7% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 100% | — |
| SimpleQA VerifiedShort factual questions | 75.6% | — |
| Price per million tokens | ||
| Input | $10.00 | $5.00 (best) |
| Output | $50.00 | $30.00 (best) |
| Cached input | $1.00 | $0.50 (best) |
| Blended (3:1) | $20.00 | $11.25 (best) |
| Long-context rate | Over 272K: $20.00 / $75.00 | Over 272K: $10.00 / $45.00 |
| Price source | Official OpenAI API | Official Sakana AI API |
| Limits | ||
| Context window | 1,050,000 tokens (best) | 1,000,000 tokens |
| Max output | 128,000 tokens | — |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yeshigh · xhigh |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | gpt-6-astra | fugu-ultra |
| API providers | 26 (best) | 11 |
| Released | Sep 4, 2026 | Jun 15, 2026 |
| Knowledge cutoff | Apr 30, 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-6 Astra$200.00
- Fugu Ultra$110.00
Which should you choose?
Which is better: GPT-6 Astra or Fugu Ultra?
GPT-6 Astra is the better all-round choice, scoring 36/100 against Fugu Ultra (33). It leads on inputs & features. 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, GPT-6 Astra or Fugu Ultra?
Fugu Ultra is cheaper at $5.00 input / $30.00 output per million tokens (official Sakana AI API price). GPT-6 Astra costs $10.00 input / $50.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $11.25 per million tokens for Fugu Ultra versus $20.00 for GPT-6 Astra (1.8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-6 Astra has an ECI of 166.5 and Fugu Ultra has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-6 Astra and Fugu Ultra 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?
GPT-6 Astra has the largest context window at 1,050,000 tokens, against 1,000,000 for Fugu Ultra. Maximum output per response: GPT-6 Astra up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-6 Astra accepts text, images and PDFs; Fugu Ultra accepts text and images. GPT-6 Astra handles the widest range of inputs.
Are any of these open source?
No. GPT-6 Astra and Fugu Ultra are proprietary and only available through APIs and apps.
Which is newer?
GPT-6 Astra is the newest, released Sep 4, 2026. Fugu Ultra came out Jun 15, 2026. Knowledge cutoff: GPT-6 Astra Apr 30, 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 Oct 4, 2026.
