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Comparison · 3 models · Updated Oct 4, 2026

Laguna XS 2.1 vs MiMo-V2.5-Pro-UltraSpeed vs Nemotron 3.5 Lightning 30B A3B

Nemotron 3.5 Lightning 30B A3B comes out ahead, 71 to 68 and 43 on our weighted score, though Laguna XS 2.1 is 14% cheaper per token.

  1. Poolside

    Laguna XS 2.1

    Released Jul 2, 2026

    68/100
    • ECI—
    • Price$0.06 / $0.12
    • Context262K
  2. Xiaomi

    MiMo-V2.5-Pro-UltraSpeed

    Released Jun 8, 2026Beta

    43/100
    • ECI—
    • Price$1.30 / $2.61
    • Context1.05M
  3. Our pick

    NVIDIA

    Nemotron 3.5 Lightning 30B A3B

    Released Aug 11, 2026

    71/100
    • ECI—
    • Price$0.05 / $0.20
    • Context262K
01 — Verdict

Nemotron 3.5 Lightning 30B A3B is our pick

Nemotron 3.5 Lightning 30B A3B is the better all-round choice, scoring 71/100 against Laguna XS 2.1 (68) and MiMo-V2.5-Pro-UltraSpeed (43). It leads on inputs & features. MiMo-V2.5-Pro-UltraSpeed 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 priceLaguna XS 2.1Laguna XS 2.1 $0.075 · Nemotron 3.5 Lightning 30B A3B $0.087 · MiMo-V2.5-Pro-UltraSpeed $1.63 per 1M tokens (3:1 blend)
  • Longest contextMiMo-V2.5-Pro-UltraSpeedMiMo-V2.5-Pro-UltraSpeed 1,048,576 · Laguna XS 2.1 262,144 · Nemotron 3.5 Lightning 30B A3B 262,144 tokens
  • Widest inputsSame inputsLaguna XS 2.1: Text · MiMo-V2.5-Pro-UltraSpeed: Text · Nemotron 3.5 Lightning 30B A3B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLaguna XS 2.1MiMo-V2.5-Pro-UltraSpeedNemotron 3.5 Lightning 30B A3B
Price50%10040100
Inputs & features30%353545
Context window20%376137
Overall100%68/10043/10071/100

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 XS 2.1 vs MiMo-V2.5-Pro-UltraSpeed vs Nemotron 3.5 Lightning 30B A3B specifications side by side
SpecificationLaguna XS 2.1PoolsideMiMo-V2.5-Pro-UltraSpeedXiaomiNemotron 3.5 Lightning 30B A3BNVIDIA
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.06$1.30$0.05 (best)
Output$0.12 (best)$2.61$0.20
Cached input—$0.011—
Blended (3:1)$0.075 (best)$1.63$0.087
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Xiaomi APIMedian of 9 providers
Limits
Context window262,144 tokens1,048,576 tokens (best)262,144 tokens
Max output32,768 tokens131,072 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenOpen
API model IDpoolside/laguna-xs-2.1mimo-v2.5-pro-ultraspeednvidia/nemotron-3.5-lightning-30b-a3b
API providers4112 (best)
ReleasedJul 2, 2026Jun 8, 2026Aug 11, 2026
Knowledge cutoff—Dec 2024—
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 XS 2.1$0.84
  • MiMo-V2.5-Pro-UltraSpeed$18.27
  • Nemotron 3.5 Lightning 30B A3B$0.90
04 — Questions

Which should you choose?

Which is better: Laguna XS 2.1, MiMo-V2.5-Pro-UltraSpeed or Nemotron 3.5 Lightning 30B A3B?

Nemotron 3.5 Lightning 30B A3B is the better all-round choice, scoring 71/100 against Laguna XS 2.1 (68) and MiMo-V2.5-Pro-UltraSpeed (43). It leads on inputs & features. MiMo-V2.5-Pro-UltraSpeed 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, Laguna XS 2.1, MiMo-V2.5-Pro-UltraSpeed or Nemotron 3.5 Lightning 30B A3B?

Laguna XS 2.1 is cheaper at $0.06 input / $0.12 output per million tokens (median across 1 API provider; free on Poolside). Nemotron 3.5 Lightning 30B A3B costs $0.05 input / $0.20 output per million tokens (median across 9 API providers; free on Nvidia); MiMo-V2.5-Pro-UltraSpeed costs $1.30 input / $2.61 output per million tokens (official Xiaomi API price). At a typical mix of three input tokens to one output token, that is $0.075 per million tokens for Laguna XS 2.1 versus $0.087 for Nemotron 3.5 Lightning 30B A3B (1.2× as much) and $1.63 for MiMo-V2.5-Pro-UltraSpeed (22× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Laguna XS 2.1 has not been scored yet, MiMo-V2.5-Pro-UltraSpeed has not been scored yet and Nemotron 3.5 Lightning 30B A3B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Laguna XS 2.1, MiMo-V2.5-Pro-UltraSpeed and Nemotron 3.5 Lightning 30B A3B 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?

MiMo-V2.5-Pro-UltraSpeed has the largest context window at 1,048,576 tokens, against 262,144 for Laguna XS 2.1 and 262,144 for Nemotron 3.5 Lightning 30B A3B. Maximum output per response: Laguna XS 2.1 up to 32,768, MiMo-V2.5-Pro-UltraSpeed up to 131,072, Nemotron 3.5 Lightning 30B A3B up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Laguna XS 2.1 accepts text; MiMo-V2.5-Pro-UltraSpeed accepts text; Nemotron 3.5 Lightning 30B A3B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, all three publish their weights, so you can self-host them.

Which is newer?

Nemotron 3.5 Lightning 30B A3B is the newest, released Aug 11, 2026. Laguna XS 2.1 came out Jul 2, 2026; MiMo-V2.5-Pro-UltraSpeed came out Jun 8, 2026. Knowledge cutoff: MiMo-V2.5-Pro-UltraSpeed Dec 2024.

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.