Llama 3.1 8B Turbo vs MiniMax Video
Compare Llama 3.1 8B Turbo and MiniMax Video: 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 | Llama 3.1 8B Turbo | MiniMax Video |
|---|---|---|
| Category | Compact | Video |
| Parameters | 8B | ~8B |
| Context Window | 128K | N/A |
| Input Price | $0.01/1M tokens | $0.18/video/1M tokens |
| Output Price | $0.02/1M tokens | N/A/1M tokens |
| Latency | ~60ms | ~25s |
Choose Llama 3.1 8B Turbo when:
- ✓ Intent classification
- ✓ Content filtering
- ✓ Simple Q&A
Extremely fast, Very low cost, 128K context
Choose MiniMax Video when:
- ✓ Asian content
- ✓ Cultural videos
- ✓ Marketing
Asian aesthetics, Good quality, Affordable
Verdict: Llama 3.1 8B Turbo vs MiniMax Video
For cost efficiency, Llama 3.1 8B Turbo wins at $0.01/1M input tokens. For speed, MiniMax Video is faster at ~25s. Llama 3.1 8B Turbo excels at Intent classification while MiniMax Video is better for Asian content. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Llama 3.1 8B Turbo costs $0.01/1M input tokens and $0.02/1M output tokens. MiniMax Video costs $0.18/video input and N/A output. Llama 3.1 8B Turbo is 18.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.1 8B Turbo has a 128K context window with ~60ms latency. MiniMax Video offers N/A context at ~25s. Llama 3.1 8B Turbo has the larger context window.
Best For
Llama 3.1 8B Turbo (Compact) is optimized for: Intent classification, Content filtering, Simple Q&A. MiniMax Video (Video) works best for: Asian content, Cultural videos, Marketing.
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 Llama 3.1 8B Turbo
response_a = client.chat.completions.create(
model="llama-3-1-8b-turbo",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use MiniMax Video
response_b = client.chat.completions.create(
model="minimax-video",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.1 8B Turbo or MiniMax Video?
Llama 3.1 8B Turbo (Compact, 8B) offers Extremely fast. MiniMax Video (Video, ~8B) offers Asian aesthetics. Choose Llama 3.1 8B Turbo for Intent classification or MiniMax Video for Asian content.
How much does Llama 3.1 8B Turbo cost vs MiniMax Video?
Llama 3.1 8B Turbo: $0.01/1M input, $0.02/1M output. MiniMax Video: $0.18/video/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 Llama 3.1 8B Turbo and MiniMax Video 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.