Laguna S 2.1 vs Gemma 4 31B IT
Too close to call on our weighted score (Gemma 4 31B IT 70, Laguna S 2.1 69). The right pick depends on what you value most.
PoolsideLaguna S 2.1
69/100- ECI—
- Price$0.10 / $0.20
- Context1.05M
GoogleGemma 4 31B IT
70/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Gemma 4 31B IT 70/100, Laguna S 2.1 69/100), so choose by what matters most for your work: Laguna S 2.1 on price and Laguna S 2.1 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 priceLaguna S 2.1Laguna S 2.1 $0.125 · Gemma 4 31B IT $0.205 per 1M tokens (3:1 blend)
- Longest contextLaguna S 2.1Laguna S 2.1 1,048,576 · Gemma 4 31B IT 262,144 tokens
- Widest inputsGemma 4 31B ITLaguna S 2.1: Text · Gemma 4 31B IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Laguna S 2.1 | Gemma 4 31B IT |
|---|---|---|---|
| Price | 50% | 93 | 83 |
| Inputs & features | 30% | 35 | 70 |
| Context window | 20% | 61 | 37 |
| Overall | 100% | 69/100 | 70/100 |
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 | Laguna S 2.1Poolside | Gemma 4 31B ITGoogle |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 142.8 |
| ECI rank | — | #86 of 148 |
| GPQA DiamondGraduate-level science questions | — | 75.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 73.3% |
| SimpleQA VerifiedShort factual questions | — | 10.4% |
| Price per million tokens | ||
| Input | $0.10 (best) | $0.14 |
| Output | $0.20 (best) | $0.40 |
| Cached input | — | — |
| Blended (3:1) | $0.125 (best) | $0.205 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 30 providers |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 262,144 tokens |
| Max output | 32,768 tokens | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | poolside/laguna-s-2.1 | gemma-4-31b-it |
| API providers | 6 | 38 (best) |
| Released | Jul 21, 2026 | Apr 2, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Laguna S 2.1$1.40
- Gemma 4 31B IT$2.20
Which should you choose?
Which is better: Laguna S 2.1 or Gemma 4 31B IT?
It is close. Our weighted score puts them within a point (Gemma 4 31B IT 70/100, Laguna S 2.1 69/100), so choose by what matters most for your work: Laguna S 2.1 on price and Laguna S 2.1 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, Laguna S 2.1 or Gemma 4 31B IT?
Laguna S 2.1 is cheaper at $0.10 input / $0.20 output per million tokens (median across 4 API providers; free on Poolside). Gemma 4 31B IT costs $0.14 input / $0.40 output per million tokens (median across 30 API providers). At a typical mix of three input tokens to one output token, that is $0.125 per million tokens for Laguna S 2.1 versus $0.205 for Gemma 4 31B IT (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Laguna S 2.1 has not been scored yet and Gemma 4 31B IT has an ECI of 142.8.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna S 2.1 and Gemma 4 31B IT 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?
Laguna S 2.1 has the largest context window at 1,048,576 tokens, against 262,144 for Gemma 4 31B IT. Maximum output per response: Laguna S 2.1 up to 32,768, Gemma 4 31B IT up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Laguna S 2.1 accepts text; Gemma 4 31B IT accepts text and images. Gemma 4 31B IT handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Laguna S 2.1 is the newest, released Jul 21, 2026. Gemma 4 31B IT came out Apr 2, 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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