Mistral Medium 3 vs QwQ 32B
Compare Mistral Medium 3 and QwQ 32B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Mistral Medium 3 | QwQ 32B |
|---|---|---|
| Category | Open Source | Reasoning |
| Parameters | 70B | 32B |
| Context Window | 128K | 128K |
| Input Price | $0.04/1M tokens | $0.03/1M tokens |
| Output Price | $0.08/1M tokens | $0.06/1M tokens |
| Latency | ~300ms | ~400ms |
Choose Mistral Medium 3 when:
- ✓ Production APIs
- ✓ Template filling
- ✓ General purpose
Good balance, Strong function calling, Reliable
Choose QwQ 32B when:
- ✓ Math reasoning
- ✓ Logic tasks
- ✓ Analysis
Strong reasoning, Compact for reasoning, Cost-efficient
Verdict: Mistral Medium 3 vs QwQ 32B
For cost efficiency, QwQ 32B wins at $0.03/1M input tokens. For speed, Mistral Medium 3 is faster at ~300ms. Mistral Medium 3 excels at Production APIs while QwQ 32B is better for Math reasoning. 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 Medium 3 costs $0.04/1M input tokens and $0.08/1M output tokens. QwQ 32B costs $0.03 input and $0.06 output. QwQ 32B is 1.3x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Mistral Medium 3 has a 128K context window with ~300ms latency. QwQ 32B offers 128K context at ~400ms. Both have identical context windows.
Best For
Mistral Medium 3 (Open Source) is optimized for: Production APIs, Template filling, General purpose. QwQ 32B (Reasoning) works best for: Math reasoning, Logic tasks, Analysis.
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 Medium 3
response_a = client.chat.completions.create(
model="mistral-medium-3",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use QwQ 32B
response_b = client.chat.completions.create(
model="qwq-32b",
messages=[{"role": "user", "content": "Your question here"}]
)Frequently Asked Questions
Which is better, Mistral Medium 3 or QwQ 32B?
Mistral Medium 3 (Open Source, 70B) offers Good balance. QwQ 32B (Reasoning, 32B) offers Strong reasoning. Choose Mistral Medium 3 for Production APIs or QwQ 32B for Math reasoning.
How much does Mistral Medium 3 cost vs QwQ 32B?
Mistral Medium 3: $0.04/1M input, $0.08/1M output. QwQ 32B: $0.03/1M 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 Mistral Medium 3 and QwQ 32B 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.