Gemma 4 12B IT vs Mercury 2.5 vs Laguna S 2.1
Gemma 4 12B IT comes out ahead, 75 to 71 and 69 on our weighted score, though Mercury 2.5 is 46% cheaper per token.
- Our pick
GoogleGemma 4 12B IT
75/100- ECI—
- Price$0.075 / $0.275
- Context262K
InceptionMercury 2.5
71/100- ECI—
- Price$0.04 / $0.15
- Context260K
PoolsideLaguna S 2.1
69/100- ECI—
- Price$0.10 / $0.20
- Context1.05M
Gemma 4 12B IT is our pick
Gemma 4 12B IT is the better all-round choice, scoring 75/100 against Mercury 2.5 (71) and Laguna S 2.1 (69). It leads on inputs & features. Mercury 2.5 wins on price. Laguna S 2.1 wins on 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 priceMercury 2.5Mercury 2.5 $0.068 · Gemma 4 12B IT $0.125 · Laguna S 2.1 $0.125 per 1M tokens (3:1 blend)
- Longest contextLaguna S 2.1Laguna S 2.1 1,048,576 · Gemma 4 12B IT 262,144 · Mercury 2.5 260,000 tokens
- Widest inputsGemma 4 12B ITGemma 4 12B IT: Text, Images · Mercury 2.5: Text · Laguna S 2.1: Text
- Self-hostingGemma 4 12B IT and Laguna S 2.1Publishes downloadable weights
| Measure | Weight | Gemma 4 12B IT | Mercury 2.5 | Laguna S 2.1 |
|---|---|---|---|---|
| Price | 50% | 93 | 100 | 93 |
| Inputs & features | 30% | 70 | 45 | 35 |
| Context window | 20% | 37 | 36 | 61 |
| Overall | 100% | 75/100 | 71/100 | 69/100 |
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 | Mercury 2.5Inception | Laguna S 2.1Poolside |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.075 | $0.04 (best) | $0.10 |
| Output | $0.275 | $0.15 (best) | $0.20 |
| Cached input | — | $0.004 | — |
| Blended (3:1) | $0.125 | $0.068 (best) | $0.125 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Inception API | Median of 4 providers |
| Limits | |||
| Context window | 262,144 tokens | 260,000 tokens | 1,048,576 tokens (best) |
| Max output | 32,768 tokens | 65,536 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | — | mercury-2.5 | poolside/laguna-s-2.1 |
| API providers | 2 | 1 | 6 (best) |
| Released | Jun 9, 2026 | Sep 8, 2026 | Jul 21, 2026 |
| Knowledge cutoff | — | Nov 1, 2025 | — |
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
- Mercury 2.5$0.70
- Laguna S 2.1$1.40
Which should you choose?
Which is better: Gemma 4 12B IT, Mercury 2.5 or Laguna S 2.1?
Gemma 4 12B IT is the better all-round choice, scoring 75/100 against Mercury 2.5 (71) and Laguna S 2.1 (69). It leads on inputs & features. Mercury 2.5 wins on price. Laguna S 2.1 wins on 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, Gemma 4 12B IT, Mercury 2.5 or Laguna S 2.1?
Mercury 2.5 is cheaper at $0.04 input / $0.15 output per million tokens (official Inception API price). Gemma 4 12B IT costs $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). At a typical mix of three input tokens to one output token, that is $0.068 per million tokens for Mercury 2.5 versus $0.125 for Gemma 4 12B IT (1.9× as much) and $0.125 for Laguna S 2.1 (1.9× 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, Mercury 2.5 has not been scored yet and Laguna S 2.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 4 12B IT, Mercury 2.5 and Laguna S 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?
Laguna S 2.1 has the largest context window at 1,048,576 tokens, against 262,144 for Gemma 4 12B IT and 260,000 for Mercury 2.5. Maximum output per response: Gemma 4 12B IT up to 32,768, Mercury 2.5 up to 65,536, Laguna S 2.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Gemma 4 12B IT accepts text and images; Mercury 2.5 accepts text; Laguna S 2.1 accepts text. Gemma 4 12B IT 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; Mercury 2.5 is proprietary.
Which is newer?
Mercury 2.5 is the newest, released Sep 8, 2026. Laguna S 2.1 came out Jul 21, 2026; Gemma 4 12B IT came out Jun 9, 2026. Knowledge cutoff: Mercury 2.5 Nov 1, 2025.
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.
