Laguna XS.2 vs GPT-5.6 Sol
GPT-5.6 Sol comes out ahead, 72 to 36 on our weighted score, and it is the cheaper option too.
PoolsideLaguna XS.2
36/100- ECI—
- Price—
- Context262K
- Our pick
OpenAIGPT-5.6 Sol
72/100- ECI161.8
- Price$4.00 / $20.00
- Context1.05M
Add a model
Make it a three-way comparison.
GPT-5.6 Sol is our pick
GPT-5.6 Sol is the better all-round choice, scoring 72/100 against Laguna XS.2 (36). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. 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 priceGPT-5.6 SolGPT-5.6 Sol $8.00 per 1M tokens (3:1 blend) · Laguna XS.2 unpriced
- Longest contextGPT-5.6 SolGPT-5.6 Sol 1,050,000 · Laguna XS.2 262,144 tokens
- Widest inputsGPT-5.6 SolLaguna XS.2: Text · GPT-5.6 Sol: Text, Images, PDFs
- Self-hostingLaguna XS.2Publishes downloadable weights
| Measure | Weight | Laguna XS.2 | GPT-5.6 Sol |
|---|---|---|---|
| Inputs & features | 60% | 35 | 80 |
| Context window | 40% | 37 | 61 |
| Overall | 100% | 36/100 | 72/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Laguna XS.2Poolside | GPT-5.6 SolOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 161.8 |
| ECI rank | — | #8 of 148 |
| GPQA DiamondGraduate-level science questions | — | 93.5% |
| FrontierMath Tiers 1–3Research-level mathematics | — | 89.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 100% |
| SimpleQA VerifiedShort factual questions | — | 69.7% |
| Price per million tokens | ||
| Input | — | $4.00 |
| Output | — | $20.00 |
| Cached input | — | $0.40 |
| Blended (3:1) | — | $8.00 |
| Long-context rate | — | Over 272K: $8.00 / $30.00 |
| Price source | — | Official OpenAI API |
| Limits | ||
| Context window | 262,144 tokens | 1,050,000 tokens (best) |
| Max output | 32,768 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh · max |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | gpt-5.6-sol |
| API providers | 1 | 40 (best) |
| Released | Apr 28, 2026 | Jul 9, 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.
- Laguna XS.2—
- GPT-5.6 Sol$80.00
Which should you choose?
Which is better: Laguna XS.2 or GPT-5.6 Sol?
GPT-5.6 Sol is the better all-round choice, scoring 72/100 against Laguna XS.2 (36). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Laguna XS.2 or GPT-5.6 Sol?
GPT-5.6 Sol is cheaper at $4.00 input / $20.00 output per million tokens (official OpenAI API price). . At a typical mix of three input tokens to one output token, that is $8.00 per million tokens for GPT-5.6 Sol versus . Laguna XS.2 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Laguna XS.2 has not been scored yet and GPT-5.6 Sol has an ECI of 161.8.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna XS.2 and GPT-5.6 Sol 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 Sol has the largest context window at 1,050,000 tokens, against 262,144 for Laguna XS.2. Maximum output per response: Laguna XS.2 up to 32,768, GPT-5.6 Sol up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Laguna XS.2 accepts text; GPT-5.6 Sol accepts text, images and PDFs. GPT-5.6 Sol handles the widest range of inputs.
Are any of these open source?
Laguna XS.2 publishes its weights and can be self-hosted; GPT-5.6 Sol is proprietary.
Which is newer?
GPT-5.6 Sol is the newest, released Jul 9, 2026. Laguna XS.2 came out Apr 28, 2026. Knowledge cutoff: GPT-5.6 Sol 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.
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