Decision support

Qwen3 Reranker 8B vs Gemma 3n E2B IT

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

Gemma 3n E2B IT

Google DeepMind

Sources:models.dev

Benchmark results

No benchmark results have been matched to these models yet.

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
5.4B

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
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—
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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