Mistral Embed vs Dolphin 2.9.3 72B

Compare Mistral Embed and Dolphin 2.9.3 72B: 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 Mistral Embed Dolphin 2.9.3 72B
CategoryEmbeddingOpen Source
Parameters~200M72B
Context Window8K128K
Input Price$0.001/1M tokens$0.04/1M tokens
Output PriceN/A/1M tokens$0.08/1M tokens
Latency~15ms~350ms

Choose Mistral Embed when:

  • ✓ RAG pipelines
  • ✓ Semantic search
  • ✓ Document clustering
Key Strengths:

Fast, Low cost, Good quality

Choose Dolphin 2.9.3 72B when:

  • ✓ Creative writing
  • ✓ Unrestricted generation
  • ✓ Research
Key Strengths:

Uncensored, Strong instruction following, Versatile

Verdict: Mistral Embed vs Dolphin 2.9.3 72B

For cost efficiency, Mistral Embed wins at $0.001/1M input tokens. For speed, Mistral Embed is faster at ~15ms. Mistral Embed excels at RAG pipelines while Dolphin 2.9.3 72B is better for Creative writing. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Mistral Embed costs $0.001/1M input tokens and N/A/1M output tokens. Dolphin 2.9.3 72B costs $0.04 input and $0.08 output. Mistral Embed is 40.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Mistral Embed has a 8K context window with ~15ms latency. Dolphin 2.9.3 72B offers 128K context at ~350ms. Dolphin 2.9.3 72B has the larger context window.

Best For

Mistral Embed (Embedding) is optimized for: RAG pipelines, Semantic search, Document clustering. Dolphin 2.9.3 72B (Open Source) works best for: Creative writing, Unrestricted generation, Research.

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 Mistral Embed
response_a = client.chat.completions.create(
    model="mistral-embed",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Dolphin 2.9.3 72B
response_b = client.chat.completions.create(
    model="dolphin-2-9-3-72b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Mistral Embed or Dolphin 2.9.3 72B?

Mistral Embed (Embedding, ~200M) offers Fast. Dolphin 2.9.3 72B (Open Source, 72B) offers Uncensored. Choose Mistral Embed for RAG pipelines or Dolphin 2.9.3 72B for Creative writing.

How much does Mistral Embed cost vs Dolphin 2.9.3 72B?

Mistral Embed: $0.001/1M input, N/A/1M output. Dolphin 2.9.3 72B: $0.04/1M input, $0.08/1M 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 Mistral Embed and Dolphin 2.9.3 72B 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.