InternVL 2.5 78B vs Code Llama 70B

Compare InternVL 2.5 78B and Code Llama 70B: 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 InternVL 2.5 78B Code Llama 70B
CategoryVisionCode
Parameters78B70B
Context Window128K100K
Input Price$0.05/1M tokens$0.04/1M tokens
Output Price$0.10/1M tokens$0.06/1M tokens
Latency~400ms~300ms

Choose InternVL 2.5 78B when:

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

Strong visual reasoning, Open weights, Good OCR

Choose Code Llama 70B when:

  • ✓ Large codebases
  • ✓ Code review
  • ✓ Refactoring
Key Strengths:

100K context, Strong coding, Fill-in-middle

Verdict: InternVL 2.5 78B vs Code Llama 70B

For cost efficiency, Code Llama 70B wins at $0.04/1M input tokens. For speed, Code Llama 70B is faster at ~300ms. InternVL 2.5 78B excels at Document analysis while Code Llama 70B is better for Large codebases. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

InternVL 2.5 78B costs $0.05/1M input tokens and $0.10/1M output tokens. Code Llama 70B costs $0.04 input and $0.06 output. Code Llama 70B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

InternVL 2.5 78B has a 128K context window with ~400ms latency. Code Llama 70B offers 100K context at ~300ms. InternVL 2.5 78B has the larger context window.

Best For

InternVL 2.5 78B (Vision) is optimized for: Document analysis, Chart reading, Visual Q&A. Code Llama 70B (Code) works best for: Large codebases, Code review, Refactoring.

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 InternVL 2.5 78B
response_a = client.chat.completions.create(
    model="internvl-2-5-78b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Code Llama 70B
response_b = client.chat.completions.create(
    model="codellama-70b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

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Get API Key Try in Playground

Frequently Asked Questions

Which is better, InternVL 2.5 78B or Code Llama 70B?

InternVL 2.5 78B (Vision, 78B) offers Strong visual reasoning. Code Llama 70B (Code, 70B) offers 100K context. Choose InternVL 2.5 78B for Document analysis or Code Llama 70B for Large codebases.

How much does InternVL 2.5 78B cost vs Code Llama 70B?

InternVL 2.5 78B: $0.05/1M input, $0.10/1M output. Code Llama 70B: $0.04/1M input, $0.06/1M 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 InternVL 2.5 78B and Code Llama 70B 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.