Gemma 4 E2B IT vs Gemma 4 31B IT vs Laguna XS 2.1
Gemma 4 E2B IT comes out ahead, 79 to 70 and 68 on our weighted score.
- Our pick
GoogleGemma 4 E2B IT
79/100- ECI—
- Price$0.07 / $0.09
- Context131K
- Google
Gemma 4 31B IT
70/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
PoolsideLaguna XS 2.1
68/100- ECI—
- Price$0.06 / $0.12
- Context262K
Gemma 4 E2B IT is our pick
Gemma 4 E2B IT is the better all-round choice, scoring 79/100 against Gemma 4 31B IT (70) and Laguna XS 2.1 (68). 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 priceGemma 4 E2B IT and Laguna XS 2.1Gemma 4 E2B IT $0.075 · Laguna XS 2.1 $0.075 · Gemma 4 31B IT $0.205 per 1M tokens (3:1 blend)
- Longest contextGemma 4 31B IT and Laguna XS 2.1Gemma 4 31B IT 262,144 · Laguna XS 2.1 262,144 · Gemma 4 E2B IT 131,072 tokens
- Widest inputsGemma 4 E2B ITGemma 4 E2B IT: Text, Images, Audio · Gemma 4 31B IT: Text, Images · Laguna XS 2.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 4 E2B IT | Gemma 4 31B IT | Laguna XS 2.1 |
|---|---|---|---|---|
| Price | 50% | 100 | 83 | 100 |
| Inputs & features | 30% | 80 | 70 | 35 |
| Context window | 20% | 24 | 37 | 37 |
| Overall | 100% | 79/100 | 70/100 | 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 | Gemma 4 E2B ITGoogle | Gemma 4 31B ITGoogle | Laguna XS 2.1Poolside |
|---|---|---|---|
| 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 | $0.07 | $0.14 | $0.06 (best) |
| Output | $0.09 (best) | $0.40 | $0.12 |
| Cached input | — | — | — |
| Blended (3:1) | $0.075 (best) | $0.205 | $0.075 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 30 providers | Median of 1 providers |
| Limits | |||
| Context window | 131,072 tokens | 262,144 tokens (best) | 262,144 tokens (best) |
| Max output | 8,192 tokens | 32,768 tokens (best) | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | gemma-4-31b-it | poolside/laguna-xs-2.1 |
| API providers | 2 | 38 (best) | 4 |
| Released | Apr 2, 2026 | Apr 2, 2026 | Jul 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.
- Gemma 4 E2B IT$0.88
- Gemma 4 31B IT$2.20
- Laguna XS 2.1$0.84
Which should you choose?
Which is better: Gemma 4 E2B IT, Gemma 4 31B IT or Laguna XS 2.1?
Gemma 4 E2B IT is the better all-round choice, scoring 79/100 against Gemma 4 31B IT (70) and Laguna XS 2.1 (68). 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, Gemma 4 E2B IT, Gemma 4 31B IT or Laguna XS 2.1?
Gemma 4 E2B IT is cheaper at $0.07 input / $0.09 output per million tokens (median across 2 API providers). Laguna XS 2.1 costs $0.06 input / $0.12 output per million tokens (median across 1 API provider; 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 $0.075 per million tokens for Gemma 4 E2B IT versus $0.075 for Laguna XS 2.1 (1× as much) and $0.205 for Gemma 4 31B IT (2.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma 4 E2B IT has not been scored yet, Gemma 4 31B IT has an ECI of 142.8 and Laguna XS 2.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 E2B IT, Gemma 4 31B IT and Laguna XS 2.1 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?
Gemma 4 31B IT and Laguna XS 2.1 have the largest context windows (262,144 and 262,144 tokens), against 131,072 for Gemma 4 E2B IT. Maximum output per response: Gemma 4 E2B IT up to 8,192, Gemma 4 31B IT up to 32,768, Laguna XS 2.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 E2B IT accepts text, images and audio; Gemma 4 31B IT accepts text and images; Laguna XS 2.1 accepts text. Gemma 4 E2B IT handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Laguna XS 2.1 is the newest, released Jul 2, 2026. Gemma 4 E2B IT came out Apr 2, 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.
