DeepSeek V2.5 vs InternVL 2.5 78B
Compare DeepSeek V2.5 and InternVL 2.5 78B: 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 V2.5 | InternVL 2.5 78B |
|---|---|---|
| Category | Open Source | Vision |
| Parameters | 236B (21B active) | 78B |
| Context Window | 128K | 128K |
| Input Price | $0.04/1M tokens | $0.05/1M tokens |
| Output Price | $0.07/1M tokens | $0.10/1M tokens |
| Latency | ~350ms | ~400ms |
Choose DeepSeek V2.5 when:
- ✓ General purpose
- ✓ Code generation
- ✓ Legacy apps
Proven model, MoE efficient, Good coding
Choose InternVL 2.5 78B when:
- ✓ Document analysis
- ✓ Chart reading
- ✓ Visual Q&A
Strong visual reasoning, Open weights, Good OCR
Verdict: DeepSeek V2.5 vs InternVL 2.5 78B
For cost efficiency, DeepSeek V2.5 wins at $0.04/1M input tokens. For speed, DeepSeek V2.5 is faster at ~350ms. DeepSeek V2.5 excels at General purpose while InternVL 2.5 78B is better for 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
DeepSeek V2.5 costs $0.04/1M input tokens and $0.07/1M output tokens. InternVL 2.5 78B costs $0.05 input and $0.10 output. DeepSeek V2.5 is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
DeepSeek V2.5 has a 128K context window with ~350ms latency. InternVL 2.5 78B offers 128K context at ~400ms. Both have identical context windows.
Best For
DeepSeek V2.5 (Open Source) is optimized for: General purpose, Code generation, Legacy apps. InternVL 2.5 78B (Vision) works best for: Document analysis, Chart reading, Visual Q&A.
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 V2.5
response_a = client.chat.completions.create(
model="deepseek-v2-5",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use InternVL 2.5 78B
response_b = client.chat.completions.create(
model="internvl-2-5-78b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, DeepSeek V2.5 or InternVL 2.5 78B?
DeepSeek V2.5 (Open Source, 236B (21B active)) offers Proven model. InternVL 2.5 78B (Vision, 78B) offers Strong visual reasoning. Choose DeepSeek V2.5 for General purpose or InternVL 2.5 78B for Document analysis.
How much does DeepSeek V2.5 cost vs InternVL 2.5 78B?
DeepSeek V2.5: $0.04/1M input, $0.07/1M output. InternVL 2.5 78B: $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 DeepSeek V2.5 and InternVL 2.5 78B 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.