Pixtral Large vs InternLM 2.5 20B

Compare Pixtral Large and InternLM 2.5 20B: 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 Pixtral Large InternLM 2.5 20B
CategoryVisionOpen Source
Parameters124B20B
Context Window128K256K
Input Price$0.06/1M tokens$0.02/1M tokens
Output Price$0.10/1M tokens$0.04/1M tokens
Latency~450ms~180ms

Choose Pixtral Large when:

  • ✓ Image analysis
  • ✓ Document understanding
  • ✓ Chart reading
Key Strengths:

Strong vision, Good reasoning, Multilingual

Choose InternLM 2.5 20B when:

  • ✓ Long context tasks
  • ✓ Research
  • ✓ Multilingual
Key Strengths:

256K context, Strong reasoning, Good multilingual

Verdict: Pixtral Large vs InternLM 2.5 20B

For cost efficiency, InternLM 2.5 20B wins at $0.02/1M input tokens. For speed, InternLM 2.5 20B is faster at ~180ms. Pixtral Large excels at Image analysis while InternLM 2.5 20B is better for Long context tasks. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Pixtral Large costs $0.06/1M input tokens and $0.10/1M output tokens. InternLM 2.5 20B costs $0.02 input and $0.04 output. InternLM 2.5 20B is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Pixtral Large has a 128K context window with ~450ms latency. InternLM 2.5 20B offers 256K context at ~180ms. InternLM 2.5 20B has the larger context window.

Best For

Pixtral Large (Vision) is optimized for: Image analysis, Document understanding, Chart reading. InternLM 2.5 20B (Open Source) works best for: Long context tasks, Research, Multilingual.

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 Pixtral Large
response_a = client.chat.completions.create(
    model="pixtral-large",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use InternLM 2.5 20B
response_b = client.chat.completions.create(
    model="internlm-2-5-20b",
    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, Pixtral Large or InternLM 2.5 20B?

Pixtral Large (Vision, 124B) offers Strong vision. InternLM 2.5 20B (Open Source, 20B) offers 256K context. Choose Pixtral Large for Image analysis or InternLM 2.5 20B for Long context tasks.

How much does Pixtral Large cost vs InternLM 2.5 20B?

Pixtral Large: $0.06/1M input, $0.10/1M output. InternLM 2.5 20B: $0.02/1M input, $0.04/1M 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 Pixtral Large and InternLM 2.5 20B 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.