Qwen 3 30B vs Mistral Small 3

Compare Qwen 3 30B and Mistral Small 3: 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 Qwen 3 30B Mistral Small 3
CategoryOpen SourceCompact
Parameters30B24B
Context Window128K32K
Input Price$0.03/1M tokens$0.02/1M tokens
Output Price$0.05/1M tokens$0.04/1M tokens
Latency~200ms~150ms

Choose Qwen 3 30B when:

  • ✓ Cost-sensitive chatbots
  • ✓ Regional apps
  • ✓ Batch
Key Strengths:

Compact, Strong Indic languages, Cost-efficient

Choose Mistral Small 3 when:

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

Very fast, Low cost, Good classification

Verdict: Qwen 3 30B vs Mistral Small 3

For cost efficiency, Mistral Small 3 wins at $0.02/1M input tokens. For speed, Mistral Small 3 is faster at ~150ms. Qwen 3 30B excels at Cost-sensitive chatbots while Mistral Small 3 is better for Content classification. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Qwen 3 30B costs $0.03/1M input tokens and $0.05/1M output tokens. Mistral Small 3 costs $0.02 input and $0.04 output. Mistral Small 3 is 1.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Qwen 3 30B has a 128K context window with ~200ms latency. Mistral Small 3 offers 32K context at ~150ms. Qwen 3 30B has the larger context window.

Best For

Qwen 3 30B (Open Source) is optimized for: Cost-sensitive chatbots, Regional apps, Batch. Mistral Small 3 (Compact) works best for: Content classification, Intent detection, Preprocessing.

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 Qwen 3 30B
response_a = client.chat.completions.create(
    model="qwen-3-30b",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Mistral Small 3
response_b = client.chat.completions.create(
    model="mistral-small-3",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, Qwen 3 30B or Mistral Small 3?

Qwen 3 30B (Open Source, 30B) offers Compact. Mistral Small 3 (Compact, 24B) offers Very fast. Choose Qwen 3 30B for Cost-sensitive chatbots or Mistral Small 3 for Content classification.

How much does Qwen 3 30B cost vs Mistral Small 3?

Qwen 3 30B: $0.03/1M input, $0.05/1M output. Mistral Small 3: $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 Qwen 3 30B and Mistral Small 3 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.