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Comparison · 3 models · Updated Oct 4, 2026

Laguna S 2.1 vs Qwen3.7 Plus vs Gemma 4 12B IT

Gemma 4 12B IT comes out ahead, 75 to 69 and 65 on our weighted score.

  1. Poolside

    Laguna S 2.1

    Released Jul 21, 2026

    69/100
    • ECI—
    • Price$0.10 / $0.20
    • Context1.05M
    Full specs Remove Laguna S 2.1

  2. Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    65/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
    Full specs Remove Qwen3.7 Plus
  3. Our pick

    Google

    Gemma 4 12B IT

    Released Jun 9, 2026

    75/100
    • ECI—
    • Price$0.075 / $0.275
    • Context262K
    Full specs Remove Gemma 4 12B IT
01 — Verdict

Gemma 4 12B IT is our pick

Gemma 4 12B IT is the better all-round choice, scoring 75/100 against Laguna S 2.1 (69) and Qwen3.7 Plus (65). Qwen3.7 Plus wins 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 priceLaguna S 2.1 and Gemma 4 12B ITLaguna S 2.1 $0.125 · Gemma 4 12B IT $0.125 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
  • Longest contextLaguna S 2.1Laguna S 2.1 1,048,576 · Qwen3.7 Plus 1,000,000 · Gemma 4 12B IT 262,144 tokens
  • Widest inputsQwen3.7 PlusLaguna S 2.1: Text · Qwen3.7 Plus: Text, Images, Video · Gemma 4 12B IT: Text, Images
  • Self-hostingLaguna S 2.1 and Gemma 4 12B ITPublishes downloadable weights
How the score is built
MeasureWeightLaguna S 2.1Qwen3.7 PlusGemma 4 12B IT
Price50%935793
Inputs & features30%358070
Context window20%616037
Overall100%69/10065/10075/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Laguna S 2.1 vs Qwen3.7 Plus vs Gemma 4 12B IT specifications side by side
SpecificationLaguna S 2.1PoolsideQwen3.7 PlusAlibaba (Qwen)Gemma 4 12B ITGoogle
Capability
Capabilities Index (ECI)—147.4—
ECI rank—#61 of 148—
GPQA DiamondGraduate-level science questions—87.9%—
FrontierMath Tiers 1–3Research-level mathematics—34.4%—
OTIS Mock AIME 2024–2025Competition mathematics—93.3%—
Price per million tokens
Input$0.10$0.40$0.075 (best)
Output$0.20 (best)$1.60$0.275
Cached input—$0.04—
Blended (3:1)$0.125 (best)$0.70$0.125 (best)
Long-context rateSame rateOver 256K: $1.20 / $4.80Same rate
Price sourceMedian of 4 providersOfficial Alibaba APIMedian of 2 providers
Limits
Context window1,048,576 tokens (best)1,000,000 tokens262,144 tokens
Max output32,768 tokens64,000 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsOpenProprietaryOpen
API model IDpoolside/laguna-s-2.1qwen3.7-plus—
API providers625 (best)2
ReleasedJul 21, 2026Jun 2, 2026Jun 9, 2026
Knowledge cutoff—Apr 2025—
03 — Cost

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
  • Qwen3.7 Plus$7.20
  • Gemma 4 12B IT$1.30
04 — Questions

Which should you choose?

Which is better: Laguna S 2.1, Qwen3.7 Plus or Gemma 4 12B IT?

Gemma 4 12B IT is the better all-round choice, scoring 75/100 against Laguna S 2.1 (69) and Qwen3.7 Plus (65). Qwen3.7 Plus wins 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, Laguna S 2.1, Qwen3.7 Plus or Gemma 4 12B 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 12B IT costs $0.075 input / $0.275 output per million tokens (median across 2 API providers); Qwen3.7 Plus costs $0.40 input / $1.60 output per million tokens (official Alibaba API price). 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 $0.125 for Gemma 4 12B IT (1× as much) and $0.70 for Qwen3.7 Plus (5.6× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Laguna S 2.1 has not been scored yet, Qwen3.7 Plus has an ECI of 147.4 and Gemma 4 12B IT has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Laguna S 2.1, Qwen3.7 Plus and Gemma 4 12B IT 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 1,000,000 for Qwen3.7 Plus and 262,144 for Gemma 4 12B IT. Maximum output per response: Laguna S 2.1 up to 32,768, Qwen3.7 Plus up to 64,000, Gemma 4 12B IT up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Laguna S 2.1 accepts text; Qwen3.7 Plus accepts text, images and video; Gemma 4 12B IT accepts text and images. Qwen3.7 Plus handles the widest range of inputs.

Are any of these open source?

Laguna S 2.1 and Gemma 4 12B IT publishes its weights and can be self-hosted; Qwen3.7 Plus is proprietary.

Which is newer?

Laguna S 2.1 is the newest, released Jul 21, 2026. Gemma 4 12B IT came out Jun 9, 2026; Qwen3.7 Plus came out Jun 2, 2026. Knowledge cutoff: Qwen3.7 Plus Apr 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.

05 — Keep comparing

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