Solar Pro vs Code Llama 70B

Compare Solar Pro 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 Solar Pro Code Llama 70B
CategoryOpen SourceCode
Parameters22B70B
Context Window32K100K
Input Price$0.02/1M tokens$0.04/1M tokens
Output Price$0.04/1M tokens$0.06/1M tokens
Latency~180ms~300ms

Choose Solar Pro when:

  • ✓ General purpose
  • ✓ Korean content
  • ✓ Chatbots
Key Strengths:

Good instruction following, Compact, Efficient

Choose Code Llama 70B when:

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

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

Verdict: Solar Pro vs Code Llama 70B

For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Solar Pro excels at General purpose 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

Solar Pro costs $0.02/1M input tokens and $0.04/1M output tokens. Code Llama 70B costs $0.04 input and $0.06 output. Solar Pro is 2.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Solar Pro has a 32K context window with ~180ms latency. Code Llama 70B offers 100K context at ~300ms. Code Llama 70B has the larger context window.

Best For

Solar Pro (Open Source) is optimized for: General purpose, Korean content, Chatbots. 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 Solar Pro
response_a = client.chat.completions.create(
    model="solar-pro",
    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"}]
)

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Frequently Asked Questions

Which is better, Solar Pro or Code Llama 70B?

Solar Pro (Open Source, 22B) offers Good instruction following. Code Llama 70B (Code, 70B) offers 100K context. Choose Solar Pro for General purpose or Code Llama 70B for Large codebases.

How much does Solar Pro cost vs Code Llama 70B?

Solar Pro: $0.02/1M input, $0.04/1M 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 Solar Pro 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.