GPT-5.6 Cyber vs Laguna XS 2.1
Laguna XS 2.1 comes out ahead, 68 to 30 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5.6 Cyber
30/100- ECI—
- Price$12.50 / $75.00
- Context400K
- Our pick
PoolsideLaguna XS 2.1
68/100- ECI—
- Price$0.06 / $0.12
- Context262K
Add a model
Make it a three-way comparison.
Laguna XS 2.1 is our pick
Laguna XS 2.1 is the better all-round choice, scoring 68/100 against GPT-5.6 Cyber (30). It leads on price. GPT-5.6 Cyber wins on inputs & features 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 priceLaguna XS 2.1Laguna XS 2.1 $0.075 · GPT-5.6 Cyber $28.13 per 1M tokens (3:1 blend)
- Longest contextGPT-5.6 CyberGPT-5.6 Cyber 400,000 · Laguna XS 2.1 262,144 tokens
- Widest inputsGPT-5.6 CyberGPT-5.6 Cyber: Text, Images · Laguna XS 2.1: Text
- Self-hostingLaguna XS 2.1Publishes downloadable weights
| Measure | Weight | GPT-5.6 Cyber | Laguna XS 2.1 |
|---|---|---|---|
| Price | 50% | 0 | 100 |
| Inputs & features | 30% | 70 | 35 |
| Context window | 20% | 44 | 37 |
| Overall | 100% | 30/100 | 68/100 |
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-5.6 CyberOpenAI | Laguna XS 2.1Poolside |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $12.50 | $0.06 (best) |
| Output | $75.00 | $0.12 (best) |
| Cached input | $1.25 | — |
| Blended (3:1) | $28.13 | $0.075 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Median of 1 providers |
| Limits | ||
| Context window | 400,000 tokens (best) | 262,144 tokens |
| Max output | 128,000 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yeslow · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gpt-daybreak-red-latest | poolside/laguna-xs-2.1 |
| API providers | 1 | 4 (best) |
| Released | Aug 7, 2026 | Jul 2, 2026 |
| Knowledge cutoff | 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.
- GPT-5.6 Cyber$275.00
- Laguna XS 2.1$0.84
Which should you choose?
Which is better: GPT-5.6 Cyber or Laguna XS 2.1?
Laguna XS 2.1 is the better all-round choice, scoring 68/100 against GPT-5.6 Cyber (30). It leads on price. GPT-5.6 Cyber wins on inputs & features 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, GPT-5.6 Cyber or Laguna XS 2.1?
Laguna XS 2.1 is cheaper at $0.06 input / $0.12 output per million tokens (median across 1 API provider; free on Poolside). 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 $0.075 per million tokens for Laguna XS 2.1 versus $28.13 for GPT-5.6 Cyber (375× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-5.6 Cyber has not been scored yet and Laguna XS 2.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-5.6 Cyber and Laguna XS 2.1 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-5.6 Cyber has the largest context window at 400,000 tokens, against 262,144 for Laguna XS 2.1. Maximum output per response: GPT-5.6 Cyber up to 128,000, Laguna XS 2.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GPT-5.6 Cyber accepts text and images; Laguna XS 2.1 accepts text. GPT-5.6 Cyber handles the widest range of inputs.
Are any of these open source?
Laguna XS 2.1 publishes its weights and can be self-hosted; GPT-5.6 Cyber is proprietary.
Which is newer?
GPT-5.6 Cyber is the newest, released Aug 7, 2026. Laguna XS 2.1 came out Jul 2, 2026. Knowledge cutoff: 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 Oct 4, 2026.
