Pixtral Large vs Nomic Embed Text v1.5
Compare Pixtral Large and Nomic Embed Text v1.5: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Pixtral Large | Nomic Embed Text v1.5 |
|---|---|---|
| Category | Vision | Embedding |
| Parameters | 124B | 137M |
| Context Window | 128K | 8K |
| Input Price | $0.06/1M tokens | $0.001/1M tokens |
| Output Price | $0.10/1M tokens | N/A/1M tokens |
| Latency | ~450ms | ~10ms |
Choose Pixtral Large when:
- ✓ Image analysis
- ✓ Document understanding
- ✓ Chart reading
Strong vision, Good reasoning, Multilingual
Choose Nomic Embed Text v1.5 when:
- ✓ Long document embedding
- ✓ Semantic search
- ✓ Clustering
8K context, Very low cost, Fast
Verdict: Pixtral Large vs Nomic Embed Text v1.5
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. Pixtral Large excels at Image analysis while Nomic Embed Text v1.5 is better for Long document embedding. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Pixtral Large costs $0.06/1M input tokens and $0.10/1M output tokens. Nomic Embed Text v1.5 costs $0.001 input and N/A output. Nomic Embed Text v1.5 is 60.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Pixtral Large has a 128K context window with ~450ms latency. Nomic Embed Text v1.5 offers 8K context at ~10ms. Pixtral Large has the larger context window.
Best For
Pixtral Large (Vision) is optimized for: Image analysis, Document understanding, Chart reading. Nomic Embed Text v1.5 (Embedding) works best for: Long document embedding, Semantic search, Clustering.
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 Pixtral Large
response_a = client.chat.completions.create(
model="pixtral-large",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Nomic Embed Text v1.5
response_b = client.chat.completions.create(
model="nomic-embed-text-v1-5",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Pixtral Large or Nomic Embed Text v1.5?
Pixtral Large (Vision, 124B) offers Strong vision. Nomic Embed Text v1.5 (Embedding, 137M) offers 8K context. Choose Pixtral Large for Image analysis or Nomic Embed Text v1.5 for Long document embedding.
How much does Pixtral Large cost vs Nomic Embed Text v1.5?
Pixtral Large: $0.06/1M input, $0.10/1M output. Nomic Embed Text v1.5: $0.001/1M 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 Pixtral Large and Nomic Embed Text v1.5 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.