BGE Large v1.5 vs MiniMax-01
Compare BGE Large 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
| Feature | BGE Large v1.5 | MiniMax-01 |
|---|---|---|
| Category | Embedding | Open Source |
| Parameters | 326M | 456B (46B active) |
| Context Window | 512 | 4M |
| Input Price | $0.001/1M tokens | $0.05/1M tokens |
| Output Price | N/A/1M tokens | $0.10/1M tokens |
| Latency | ~15ms | ~400ms |
Choose BGE Large v1.5 when:
- ✓ Budget RAG
- ✓ Knowledge bases
- ✓ Document clustering
Very low cost, Good multilingual, Fast
Choose MiniMax-01 when:
- ✓ Full library processing
- ✓ Massive document analysis
- ✓ Historical research
4M context, MoE efficiency, Strong multilingual
Verdict: BGE Large v1.5 vs MiniMax-01
For cost efficiency, BGE Large v1.5 wins at $0.001/1M input tokens. For speed, BGE Large v1.5 is faster at ~15ms. BGE Large v1.5 excels at Budget RAG 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
BGE Large v1.5 costs $0.001/1M input tokens and N/A/1M output tokens. MiniMax-01 costs $0.05 input and $0.10 output. BGE Large v1.5 is 50.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
BGE Large v1.5 has a 512 context window with ~15ms latency. MiniMax-01 offers 4M context at ~400ms. MiniMax-01 has the larger context window.
Best For
BGE Large v1.5 (Embedding) is optimized for: Budget RAG, Knowledge bases, Document 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 BGE Large v1.5
response_a = client.chat.completions.create(
model="bge-large-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"}]
)
Frequently Asked Questions
Which is better, BGE Large v1.5 or MiniMax-01?
BGE Large v1.5 (Embedding, 326M) offers Very low cost. MiniMax-01 (Open Source, 456B (46B active)) offers 4M context. Choose BGE Large v1.5 for Budget RAG or MiniMax-01 for Full library processing.
How much does BGE Large v1.5 cost vs MiniMax-01?
BGE Large 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 BGE Large v1.5 and MiniMax-01 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.