Nomic Embed Text v1.5 vs MiniMax-01

Compare Nomic Embed Text v1.5 and MiniMax-01: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

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

All Nomic AI models All MiniMax models What is an LLM API? Python Quickstart What is inference?
Feature Nomic Embed Text v1.5 MiniMax-01
CategoryEmbeddingOpen Source
Parameters137M456B (46B active)
Context Window8K4M
Input Price$0.001/1M tokens$0.05/1M tokens
Output PriceN/A/1M tokens$0.10/1M tokens
Latency~10ms~400ms

Choose Nomic Embed Text v1.5 when:

  • ✓ Long document embedding
  • ✓ Semantic search
  • ✓ Clustering
Key Strengths:

8K context, Very low cost, Fast

Choose MiniMax-01 when:

  • ✓ Full library processing
  • ✓ Massive document analysis
  • ✓ Historical research
Key Strengths:

4M context, MoE efficiency, Strong multilingual

Verdict: Nomic Embed Text v1.5 vs MiniMax-01

For cost efficiency, Nomic Embed Text v1.5 wins at $0.001/1M input tokens. For speed, Nomic Embed Text v1.5 is faster at ~10ms. Nomic Embed Text v1.5 excels at Long document embedding while MiniMax-01 is better for Full library processing. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Nomic Embed Text v1.5 costs $0.001/1M input tokens and N/A/1M output tokens. MiniMax-01 costs $0.05 input and $0.10 output. Nomic Embed Text v1.5 is 50.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Nomic Embed Text v1.5 has a 8K context window with ~10ms latency. MiniMax-01 offers 4M context at ~400ms. MiniMax-01 has the larger context window.

Best For

Nomic Embed Text v1.5 (Embedding) is optimized for: Long document embedding, Semantic search, Clustering. MiniMax-01 (Open Source) works best for: Full library processing, Massive document analysis, Historical 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 Nomic Embed Text v1.5
response_a = client.chat.completions.create(
    model="nomic-embed-text-v1-5",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use MiniMax-01
response_b = client.chat.completions.create(
    model="minimax-01",
    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, Nomic Embed Text v1.5 or MiniMax-01?

Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. MiniMax-01 (Open Source, 456B (46B active)) offers 4M context. Choose Nomic Embed Text v1.5 for Long document embedding or MiniMax-01 for Full library processing.

How much does Nomic Embed Text v1.5 cost vs MiniMax-01?

Nomic Embed Text v1.5: $0.001/1M input, N/A/1M output. MiniMax-01: $0.05/1M input, $0.10/1M 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 Nomic Embed Text v1.5 and MiniMax-01 by changing the model parameter. No code changes needed.

Related Comparisons

Nomic Embed Text v1.5 vs Text Embedding 3 Large Nomic Embed Text v1.5 vs Gemma 3 27B Nomic Embed Text v1.5 vs Llama 4 Scout Nomic Embed Text v1.5 vs Llama 4 Maverick Nomic Embed Text v1.5 vs Llama 3.3 70B Nomic Embed Text v1.5 vs Llama 3.1 405B

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