Mistral Small 3.1 vs Yi Large
Compare Mistral Small 3.1 and Yi Large: 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 | Mistral Small 3.1 | Yi Large |
|---|---|---|
| Category | Compact | Open Source |
| Parameters | 24B | 300B |
| Context Window | 128K | 200K |
| Input Price | $0.02/1M tokens | $0.06/1M tokens |
| Output Price | $0.04/1M tokens | $0.12/1M tokens |
| Latency | ~120ms | ~450ms |
Choose Mistral Small 3.1 when:
- ✓ Lightweight tasks
- ✓ Classification
- ✓ Simple generation
128K context, Low cost, Fast
Choose Yi Large when:
- ✓ Long document analysis
- ✓ Research
- ✓ Complex tasks
200K context, Strong analysis, Good reasoning
Verdict: Mistral Small 3.1 vs Yi Large
For cost efficiency, Mistral Small 3.1 wins at $0.02/1M input tokens. For speed, Mistral Small 3.1 is faster at ~120ms. Mistral Small 3.1 excels at Lightweight tasks while Yi Large is better for Long document analysis. 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 Small 3.1 costs $0.02/1M input tokens and $0.04/1M output tokens. Yi Large costs $0.06 input and $0.12 output. Mistral Small 3.1 is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Mistral Small 3.1 has a 128K context window with ~120ms latency. Yi Large offers 200K context at ~450ms. Yi Large has the larger context window.
Best For
Mistral Small 3.1 (Compact) is optimized for: Lightweight tasks, Classification, Simple generation. Yi Large (Open Source) works best for: Long document analysis, Research, Complex tasks.
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 Small 3.1
response_a = client.chat.completions.create(
model="mistral-small-3-1",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Yi Large
response_b = client.chat.completions.create(
model="yi-large",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Mistral Small 3.1 or Yi Large?
Mistral Small 3.1 (Compact, 24B) offers 128K context. Yi Large (Open Source, 300B) offers 200K context. Choose Mistral Small 3.1 for Lightweight tasks or Yi Large for Long document analysis.
How much does Mistral Small 3.1 cost vs Yi Large?
Mistral Small 3.1: $0.02/1M input, $0.04/1M output. Yi Large: $0.06/1M input, $0.12/1M 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 Small 3.1 and Yi Large 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.