DeepSeek R1 0528 vs Meshy v4
Compare DeepSeek R1 0528 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 | DeepSeek R1 0528 | Meshy v4 |
|---|---|---|
| Category | Reasoning | 3D |
| Parameters | 671B | ~3B |
| Context Window | 128K | N/A |
| Input Price | $0.08/1M tokens | $0.10/model/1M tokens |
| Output Price | $0.15/1M tokens | N/A/1M tokens |
| Latency | ~800ms | ~60s |
Choose DeepSeek R1 0528 when:
- ✓ Calculation verification
- ✓ Classical text analysis
- ✓ Quality-critical
Improved accuracy, Reduced hallucination, Strong math
Choose Meshy v4 when:
- ✓ 3D asset creation
- ✓ Game assets
- ✓ Product visualization
3D model output, PBR textures, Multiple formats
Verdict: DeepSeek R1 0528 vs Meshy v4
For cost efficiency, DeepSeek R1 0528 wins at $0.08/1M input tokens. For speed, Meshy v4 is faster at ~60s. DeepSeek R1 0528 excels at Calculation verification 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
DeepSeek R1 0528 costs $0.08/1M input tokens and $0.15/1M output tokens. Meshy v4 costs $0.10/model input and N/A output. DeepSeek R1 0528 is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek R1 0528 has a 128K context window with ~800ms latency. Meshy v4 offers N/A context at ~60s. DeepSeek R1 0528 has the larger context window.
Best For
DeepSeek R1 0528 (Reasoning) is optimized for: Calculation verification, Classical text analysis, Quality-critical. 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 DeepSeek R1 0528
response_a = client.chat.completions.create(
model="deepseek-r1-0528",
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, DeepSeek R1 0528 or Meshy v4?
DeepSeek R1 0528 (Reasoning, 671B) offers Improved accuracy. Meshy v4 (3D, ~3B) offers 3D model output. Choose DeepSeek R1 0528 for Calculation verification or Meshy v4 for 3D asset creation.
How much does DeepSeek R1 0528 cost vs Meshy v4?
DeepSeek R1 0528: $0.08/1M input, $0.15/1M 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 DeepSeek R1 0528 and Meshy v4 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.