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Comparison · 3 models · Updated Oct 4, 2026

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

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

  1. 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

  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. 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
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 priceGemma 4 12B IT and Laguna S 2.1Gemma 4 12B IT $0.125 · Laguna S 2.1 $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 PlusGemma 4 12B IT: Text, Images · Qwen3.7 Plus: Text, Images, Video · Laguna S 2.1: Text
  • Self-hostingGemma 4 12B IT and Laguna S 2.1Publishes downloadable weights
How the score is built
MeasureWeightGemma 4 12B ITQwen3.7 PlusLaguna S 2.1
Price50%935793
Inputs & features30%708035
Context window20%376061
Overall100%75/10065/10069/100

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.

Gemma 4 12B IT vs Qwen3.7 Plus vs Laguna S 2.1 specifications side by side
SpecificationGemma 4 12B ITGoogleQwen3.7 PlusAlibaba (Qwen)Laguna S 2.1Poolside
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$0.075 (best)$0.40$0.10
Output$0.275$1.60$0.20 (best)
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 2 providersOfficial Alibaba APIMedian of 4 providers
Limits
Context window262,144 tokens1,000,000 tokens1,048,576 tokens (best)
Max output32,768 tokens64,000 tokens (best)32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsOpenProprietaryOpen
API model ID—qwen3.7-pluspoolside/laguna-s-2.1
API providers225 (best)6
ReleasedJun 9, 2026Jun 2, 2026Jul 21, 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.

  • Gemma 4 12B IT$1.30
  • Qwen3.7 Plus$7.20
  • Laguna S 2.1$1.40
04 — Questions

Which should you choose?

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

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, Gemma 4 12B IT, Qwen3.7 Plus or Laguna S 2.1?

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); 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 Gemma 4 12B IT versus $0.125 for Laguna S 2.1 (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. Gemma 4 12B IT has not been scored yet, Qwen3.7 Plus has an ECI of 147.4 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, Qwen3.7 Plus 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 1,000,000 for Qwen3.7 Plus and 262,144 for Gemma 4 12B IT. Maximum output per response: Gemma 4 12B IT up to 32,768, Qwen3.7 Plus up to 64,000, 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; Qwen3.7 Plus accepts text, images and video; Laguna S 2.1 accepts text. Qwen3.7 Plus 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; 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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