Gemma 3 12B vs E5 Large v2

Compare Gemma 3 12B and E5 Large v2: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature Gemma 3 12B E5 Large v2
CategoryCompactEmbedding
Parameters12B335M
Context Window128K512
Input Price$0.015/1M tokens$0.002/1M tokens
Output Price$0.03/1M tokensN/A/1M tokens
Latency~100ms~20ms

Choose Gemma 3 12B when:

  • ✓ Edge deployments
  • ✓ Classification
  • ✓ Simple chatbots
Key Strengths:

Very compact, Fast, Low cost

Choose E5 Large v2 when:

  • ✓ Classical text search
  • ✓ RAG pipelines
  • ✓ Knowledge retrieval
Key Strengths:

1024 dimensions, Fast, Multi-lingual

Verdict: Gemma 3 12B vs E5 Large v2

For cost efficiency, E5 Large v2 wins at $0.002/1M input tokens. For speed, Gemma 3 12B is faster at ~100ms. Gemma 3 12B excels at Edge deployments while E5 Large v2 is better for Classical text search. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Gemma 3 12B costs $0.015/1M input tokens and $0.03/1M output tokens. E5 Large v2 costs $0.002 input and N/A output. E5 Large v2 is 7.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemma 3 12B has a 128K context window with ~100ms latency. E5 Large v2 offers 512 context at ~20ms. Gemma 3 12B has the larger context window.

Best For

Gemma 3 12B (Compact) is optimized for: Edge deployments, Classification, Simple chatbots. E5 Large v2 (Embedding) works best for: Classical text search, RAG pipelines, Knowledge retrieval.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use Gemma 3 12B
response_a = client.chat.completions.create(
    model="gemma-3-12b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use E5 Large v2
response_b = client.chat.completions.create(
    model="e5-large-v2",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, Gemma 3 12B or E5 Large v2?

Gemma 3 12B (Compact, 12B) offers Very compact. E5 Large v2 (Embedding, 335M) offers 1024 dimensions. Choose Gemma 3 12B for Edge deployments or E5 Large v2 for Classical text search.

How much does Gemma 3 12B cost vs E5 Large v2?

Gemma 3 12B: $0.015/1M input, $0.03/1M output. E5 Large v2: $0.002/1M input, N/A/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Gemma 3 12B and E5 Large v2 by changing the model parameter. No code changes needed.

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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.