Mistral Small 3 vs InternLM 2.5 20B

Compare Mistral Small 3 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 Mistral Small 3 InternLM 2.5 20B
CategoryCompactOpen Source
Parameters24B20B
Context Window32K256K
Input Price$0.02/1M tokens$0.02/1M tokens
Output Price$0.04/1M tokens$0.04/1M tokens
Latency~150ms~180ms

Choose Mistral Small 3 when:

  • ✓ Content classification
  • ✓ Intent detection
  • ✓ Preprocessing
Key Strengths:

Very fast, Low cost, Good classification

Choose InternLM 2.5 20B when:

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

256K context, Strong reasoning, Good multilingual

Verdict: Mistral Small 3 vs InternLM 2.5 20B

For cost efficiency, InternLM 2.5 20B wins at $0.02/1M input tokens. For speed, Mistral Small 3 is faster at ~150ms. Mistral Small 3 excels at Content classification 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

Mistral Small 3 costs $0.02/1M input tokens and $0.04/1M output tokens. InternLM 2.5 20B costs $0.02 input and $0.04 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Mistral Small 3 has a 32K context window with ~150ms latency. InternLM 2.5 20B offers 256K context at ~180ms. InternLM 2.5 20B has the larger context window.

Best For

Mistral Small 3 (Compact) is optimized for: Content classification, Intent detection, Preprocessing. 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 Mistral Small 3
response_a = client.chat.completions.create(
    model="mistral-small-3",
    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, Mistral Small 3 or InternLM 2.5 20B?

Mistral Small 3 (Compact, 24B) offers Very fast. InternLM 2.5 20B (Open Source, 20B) offers 256K context. Choose Mistral Small 3 for Content classification or InternLM 2.5 20B for Long context tasks.

How much does Mistral Small 3 cost vs InternLM 2.5 20B?

Mistral Small 3: $0.02/1M input, $0.04/1M 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 Mistral Small 3 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.