Decision support

Qwen3 Embedding 8B vs Gemma 3n E4B IT

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Gemma 3n E4B IT

Google DeepMind

Sources:models.dev

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • Qwen3 Embedding 8B
      Not reported
    • Gemma 3n E4B IT
      1317
      Arena #272CI 1312 to 1323
    Runs and sources
    Qwen3 Embedding 8B

    Not reported

    Gemma 3n E4B IT
    • default131795% CI 1312 to 1323 · 22,106 votes

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
June 5, 2025
June 26, 2025
Context window
33K
33K
Native context
—
—
Max output tokens
—
32,768
Knowledge cutoff
—
2024-06
Open weights
Open weights
Open weights
Parameter count
8B
7.8B

API pricing · USD per 1M tokens

Input
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—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text
text, image, audio
Output modalities
text
text
Tool calling
—
—
Reasoning option
—
—
Supported options
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temperature
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache-2.0
Gemma Terms of Use
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
ai-research
models.dev

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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