Cohere Embed v4 vs InternVL 2.5 78B

Compare Cohere Embed v4 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

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Feature Cohere Embed v4 InternVL 2.5 78B
CategoryEmbeddingVision
Parameters~400M78B
Context Window128K128K
Input Price$0.001/1M tokens$0.05/1M tokens
Output PriceN/A/1M tokens$0.10/1M tokens
Latency~15ms~400ms

Choose Cohere Embed v4 when:

  • ✓ Long document RAG
  • ✓ Multimodal search
  • ✓ Large knowledge bases
Key Strengths:

128K context, Multimodal embedding, Matryoshka

Choose InternVL 2.5 78B when:

  • ✓ Document analysis
  • ✓ Chart reading
  • ✓ Visual Q&A
Key Strengths:

Strong visual reasoning, Open weights, Good OCR

Verdict: Cohere Embed v4 vs InternVL 2.5 78B

For cost efficiency, Cohere Embed v4 wins at $0.001/1M input tokens. For speed, Cohere Embed v4 is faster at ~15ms. Cohere Embed v4 excels at Long document RAG 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

Cohere Embed v4 costs $0.001/1M input tokens and N/A/1M output tokens. InternVL 2.5 78B costs $0.05 input and $0.10 output. Cohere Embed v4 is 50.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Cohere Embed v4 has a 128K context window with ~15ms latency. InternVL 2.5 78B offers 128K context at ~400ms. Both have identical context windows.

Best For

Cohere Embed v4 (Embedding) is optimized for: Long document RAG, Multimodal search, Large knowledge bases. 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 Cohere Embed v4
response_a = client.chat.completions.create(
    model="embed-v4",
    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"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Cohere Embed v4 or InternVL 2.5 78B?

Cohere Embed v4 (Embedding, ~400M) offers 128K context. InternVL 2.5 78B (Vision, 78B) offers Strong visual reasoning. Choose Cohere Embed v4 for Long document RAG or InternVL 2.5 78B for Document analysis.

How much does Cohere Embed v4 cost vs InternVL 2.5 78B?

Cohere Embed v4: $0.001/1M input, N/A/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 Cohere Embed v4 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.