ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Laguna M.1 vs Mercury 2

Laguna M.1 comes out ahead, 68 to 53 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Poolside

    Laguna M.1

    Released Apr 28, 2026

    68/100
    • ECI—
    • PriceFree / Free
    • Context262K
  2. Inception

    Mercury 2

    Released Feb 24, 2026

    53/100
    • ECI—
    • Price$0.25 / $0.75
    • Context128K
  3. Add a model

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01 — Verdict

Laguna M.1 is our pick

Laguna M.1 is the better all-round choice, scoring 68/100 against Mercury 2 (53). It leads on price and context window. Mercury 2 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 M.1Laguna M.1 Free · Mercury 2 $0.375 per 1M tokens (3:1 blend)
  • Longest contextLaguna M.1Laguna M.1 262,144 · Mercury 2 128,000 tokens
  • Widest inputsSame inputsLaguna M.1: Text · Mercury 2: Text
  • Self-hostingLaguna M.1Publishes downloadable weights
How the score is built
MeasureWeightLaguna M.1Mercury 2
Price50%10070
Inputs & features30%3545
Context window20%3724
Overall100%68/10053/100

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 M.1 vs Mercury 2 specifications side by side
SpecificationLaguna M.1PoolsideMercury 2Inception
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
InputFree (best)$0.25
OutputFree (best)$0.75
Cached input—$0.025
Blended (3:1)Free (best)$0.375
Long-context rateSame rateSame rate
Price sourceOfficial Poolside APIOfficial Inception API
Limits
Context window262,144 tokens (best)128,000 tokens
Max output32,768 tokens50,000 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYeslow · medium · high
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model IDpoolside/laguna-m.1mercury-2
API providers2 (best)1
ReleasedApr 28, 2026Feb 24, 2026
Knowledge cutoff—Jan 1, 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 M.1Free
  • Mercury 2$4.00
04 — Questions

Which should you choose?

Which is better: Laguna M.1 or Mercury 2?

Laguna M.1 is the better all-round choice, scoring 68/100 against Mercury 2 (53). It leads on price and context window. Mercury 2 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 M.1 or Mercury 2?

Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). Mercury 2 costs $0.25 input / $0.75 output per million tokens (official Inception API price). Laguna M.1 is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Laguna M.1 has not been scored yet and Mercury 2 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Laguna M.1 and Mercury 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Laguna M.1 has the largest context window at 262,144 tokens, against 128,000 for Mercury 2. Maximum output per response: Laguna M.1 up to 32,768, Mercury 2 up to 50,000 tokens.

Which can read images, PDFs, audio or video?

Laguna M.1 accepts text; Mercury 2 accepts text. They handle the same number of input types.

Are any of these open source?

Laguna M.1 publishes its weights and can be self-hosted; Mercury 2 is proprietary.

Which is newer?

Laguna M.1 is the newest, released Apr 28, 2026. Mercury 2 came out Feb 24, 2026. Knowledge cutoff: Mercury 2 Jan 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.