Gemma 4 12B IT vs Laguna S 2.1 vs Seed Character
Too close to call on our weighted score (Seed Character 75, Gemma 4 12B IT 75, Laguna S 2.1 69). The right pick depends on what you value most.
GoogleGemma 4 12B IT
75/100- ECI—
- Price$0.075 / $0.275
- Context262K
PoolsideLaguna S 2.1
69/100- ECI—
- Price$0.10 / $0.20
- Context1.05M
ByteDance SeedSeed Character
75/100- ECI—
- Price$0.119 / $0.297
- Context256K
Too close to call
It is close. Our weighted score puts them within a point (Seed Character 75/100, Gemma 4 12B IT 75/100, Laguna S 2.1 69/100), so choose by what matters most for your work: Gemma 4 12B IT 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 priceGemma 4 12B IT and Laguna S 2.1Gemma 4 12B IT $0.125 · Laguna S 2.1 $0.125 · Seed Character $0.163 per 1M tokens (3:1 blend)
- Longest contextLaguna S 2.1Laguna S 2.1 1,048,576 · Gemma 4 12B IT 262,144 · Seed Character 256,000 tokens
- Widest inputsSeed CharacterGemma 4 12B IT: Text, Images · Laguna S 2.1: Text · Seed Character: Text, Images, Video
- Self-hostingGemma 4 12B IT and Laguna S 2.1Publishes downloadable weights
| Measure | Weight | Gemma 4 12B IT | Laguna S 2.1 | Seed Character |
|---|---|---|---|---|
| Price | 50% | 93 | 93 | 87 |
| Inputs & features | 30% | 70 | 35 | 80 |
| Context window | 20% | 37 | 61 | 36 |
| Overall | 100% | 75/100 | 69/100 | 75/100 |
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 12B ITGoogle | Laguna S 2.1Poolside | Seed CharacterByteDance Seed |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.075 (best) | $0.10 | $0.119 |
| Output | $0.275 | $0.20 (best) | $0.297 |
| Cached input | — | — | $0.024 |
| Blended (3:1) | $0.125 (best) | $0.125 (best) | $0.163 |
| Long-context rate | Same rate | Same rate | Over 32K: $0.178 / $0.891 |
| Price source | Median of 2 providers | Median of 4 providers | Official Volcengine Ark API |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens (best) | 256,000 tokens |
| Max output | 32,768 tokens | 32,768 tokens | 256,000 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yesminimal · low · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | — | poolside/laguna-s-2.1 | doubao-seed-character-260628 |
| API providers | 2 | 6 (best) | 2 |
| Released | Jun 9, 2026 | Jul 21, 2026 | Jun 23, 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 12B IT$1.30
- Laguna S 2.1$1.40
- Seed Character$1.78
Which should you choose?
Which is better: Gemma 4 12B IT, Laguna S 2.1 or Seed Character?
It is close. Our weighted score puts them within a point (Seed Character 75/100, Gemma 4 12B IT 75/100, Laguna S 2.1 69/100), so choose by what matters most for your work: Gemma 4 12B IT 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, Gemma 4 12B IT, Laguna S 2.1 or Seed Character?
Gemma 4 12B IT is cheaper at $0.075 input / $0.275 output per million tokens (median across 2 API providers). Laguna S 2.1 costs $0.10 input / $0.20 output per million tokens (median across 4 API providers; free on Poolside); Seed Character costs $0.119 input / $0.297 output per million tokens (official Volcengine Ark API price). At a typical mix of three input tokens to one output token, that is $0.125 per million tokens for Gemma 4 12B IT versus $0.125 for Laguna S 2.1 (1× as much) and $0.163 for Seed Character (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemma 4 12B IT has not been scored yet, Laguna S 2.1 has not been scored yet and Seed Character has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 12B IT, Laguna S 2.1 and Seed Character 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?
Laguna S 2.1 has the largest context window at 1,048,576 tokens, against 262,144 for Gemma 4 12B IT and 256,000 for Seed Character. Maximum output per response: Gemma 4 12B IT up to 32,768, Laguna S 2.1 up to 32,768, Seed Character up to 256,000 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 12B IT accepts text and images; Laguna S 2.1 accepts text; Seed Character accepts text, images and video. Seed Character handles the widest range of inputs.
Are any of these open source?
Gemma 4 12B IT and Laguna S 2.1 publishes its weights and can be self-hosted; Seed Character is proprietary.
Which is newer?
Laguna S 2.1 is the newest, released Jul 21, 2026. Seed Character came out Jun 23, 2026; Gemma 4 12B IT came out Jun 9, 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.
