Deepgram Nova 3 vs Meshy v4
Compare Deepgram Nova 3 and Meshy v4: 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 | Deepgram Nova 3 | Meshy v4 |
|---|---|---|
| Category | Speech | 3D |
| Parameters | ~1B | ~3B |
| Context Window | Streaming | N/A |
| Input Price | $0.004/min/1M tokens | $0.10/model/1M tokens |
| Output Price | N/A/1M tokens | N/A/1M tokens |
| Latency | ~100ms | ~60s |
Choose Deepgram Nova 3 when:
- ✓ Real-time transcription
- ✓ Call centers
- ✓ Meeting notes
Ultra-low latency, Streaming native, Very cheap
Choose Meshy v4 when:
- ✓ 3D asset creation
- ✓ Game assets
- ✓ Product visualization
3D model output, PBR textures, Multiple formats
Verdict: Deepgram Nova 3 vs Meshy v4
For cost efficiency, Deepgram Nova 3 wins at $0.004/min/1M input tokens. For speed, Deepgram Nova 3 is faster at ~100ms. Deepgram Nova 3 excels at Real-time transcription while Meshy v4 is better for 3D asset creation. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Deepgram Nova 3 costs $0.004/min/1M input tokens and N/A/1M output tokens. Meshy v4 costs $0.10/model input and N/A output. Deepgram Nova 3 is 25.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Deepgram Nova 3 has a Streaming context window with ~100ms latency. Meshy v4 offers N/A context at ~60s. Both have identical context windows.
Best For
Deepgram Nova 3 (Speech) is optimized for: Real-time transcription, Call centers, Meeting notes. Meshy v4 (3D) works best for: 3D asset creation, Game assets, Product visualization.
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 Deepgram Nova 3
response_a = client.chat.completions.create(
model="deepgram-nova-3",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Meshy v4
response_b = client.chat.completions.create(
model="meshy-4",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Deepgram Nova 3 or Meshy v4?
Deepgram Nova 3 (Speech, ~1B) offers Ultra-low latency. Meshy v4 (3D, ~3B) offers 3D model output. Choose Deepgram Nova 3 for Real-time transcription or Meshy v4 for 3D asset creation.
How much does Deepgram Nova 3 cost vs Meshy v4?
Deepgram Nova 3: $0.004/min/1M input, N/A/1M output. Meshy v4: $0.10/model/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 Deepgram Nova 3 and Meshy v4 by changing the model parameter. No code changes needed.
Related Comparisons
Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.