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Comparison · 3 models · Updated Nov 2, 2026

LFM2 24B A2B vs Gemma 4 E2B IT vs Qwen3.5 4B

Too close to call on our weighted score (Qwen3.5 4B 78, Gemma 4 E2B IT 76, LFM2 24B A2B 58). The right pick depends on what you value most.

  1. Liquid AI

    LFM2 24B A2B

    Released Feb 24, 2026

    58/100
    • ECI—
    • Price$0.03 / $0.12
    • Context33K
    Full specs Remove LFM2 24B A2B

  2. Google

    Gemma 4 E2B IT

    Released Apr 2, 2026

    76/100
    • ECI—
    • Price$0.04 / $0.08
    • Context131K
    Full specs Remove Gemma 4 E2B IT

  3. Alibaba (Qwen)

    Qwen3.5 4B

    Released Mar 2, 2026

    78/100
    • ECI—
    • Price$0.04 / $0.07
    • Context262K
    Full specs Remove Qwen3.5 4B
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Qwen3.5 4B 78/100, Gemma 4 E2B IT 76/100, LFM2 24B A2B 58/100), so choose by what matters most for your work: Qwen3.5 4B on price and Qwen3.5 4B for long inputs. 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 priceQwen3.5 4BQwen3.5 4B $0.048 · Gemma 4 E2B IT $0.05 · LFM2 24B A2B $0.052 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 4BQwen3.5 4B 262,144 · Gemma 4 E2B IT 131,072 · LFM2 24B A2B 32,768 tokens
  • Widest inputsGemma 4 E2B IT and Qwen3.5 4BLFM2 24B A2B: Text · Gemma 4 E2B IT: Text, Images, Audio · Qwen3.5 4B: Text, Images, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLFM2 24B A2BGemma 4 E2B ITQwen3.5 4B
Price50%100100100
Inputs & features30%257070
Context window20%02537
Overall100%58/10076/10078/100

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.

LFM2 24B A2B vs Gemma 4 E2B IT vs Qwen3.5 4B specifications side by side
SpecificationLFM2 24B A2BLiquid AIGemma 4 E2B ITGoogleQwen3.5 4BAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
OTIS Mock AIME 2024–2025Competition mathematics——55.8%
Price per million tokens
Input$0.03 (best)$0.04$0.04
Output$0.12$0.08$0.07 (best)
Cached input———
Blended (3:1)$0.052$0.05$0.048 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 1 providersMedian of 3 providers
Limits
Context window32,768 tokens131,072 tokens262,144 tokens (best)
Max output32,768 tokens8,192 tokens81,920 tokens (best)
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoYesNo
VideoNoNoYes
ReasoningNoYesYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenLFM Open License v1.0OpenOpenApache-2.0
API model ID———
API providers115 (best)
ReleasedFeb 24, 2026Apr 2, 2026Mar 2, 2026
Knowledge cutoff———
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.

  • LFM2 24B A2B$0.54
  • Gemma 4 E2B IT$0.56
  • Qwen3.5 4B$0.54
04 — Questions

Which should you choose?

Which is better: LFM2 24B A2B, Gemma 4 E2B IT or Qwen3.5 4B?

It is close. Our weighted score puts them within 2 points (Qwen3.5 4B 78/100, Gemma 4 E2B IT 76/100, LFM2 24B A2B 58/100), so choose by what matters most for your work: Qwen3.5 4B on price and Qwen3.5 4B for long inputs. 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, LFM2 24B A2B, Gemma 4 E2B IT or Qwen3.5 4B?

Qwen3.5 4B is cheaper at $0.04 input / $0.07 output per million tokens (median across 3 API providers). Gemma 4 E2B IT costs $0.04 input / $0.08 output per million tokens (median across 1 API provider); LFM2 24B A2B costs $0.03 input / $0.12 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.048 per million tokens for Qwen3.5 4B versus $0.05 for Gemma 4 E2B IT (1.1× as much) and $0.052 for LFM2 24B A2B (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. LFM2 24B A2B has not been scored yet, Gemma 4 E2B IT has not been scored yet and Qwen3.5 4B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for LFM2 24B A2B, Gemma 4 E2B IT and Qwen3.5 4B 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?

Qwen3.5 4B has the largest context window at 262,144 tokens, against 131,072 for Gemma 4 E2B IT and 32,768 for LFM2 24B A2B. Maximum output per response: LFM2 24B A2B up to 32,768, Gemma 4 E2B IT up to 8,192, Qwen3.5 4B up to 81,920 tokens.

Which can read images, PDFs, audio or video?

LFM2 24B A2B accepts text; Gemma 4 E2B IT accepts text, images and audio; Qwen3.5 4B accepts text, images and video. Gemma 4 E2B IT handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights (LFM Open License v1.0 and Apache-2.0), so you can self-host them.

Which is newer?

Gemma 4 E2B IT is the newest, released Apr 2, 2026. Qwen3.5 4B came out Mar 2, 2026; LFM2 24B A2B came out Feb 24, 2026.

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 Nov 2, 2026.

05 — Keep comparing

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