Codestral vs QwQ 32B
Compare Codestral 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 | Codestral | QwQ 32B |
|---|---|---|
| Category | Code | Reasoning |
| Parameters | 22B | 32B |
| Context Window | 256K | 128K |
| Input Price | $0.03/1M tokens | $0.03/1M tokens |
| Output Price | $0.05/1M tokens | $0.06/1M tokens |
| Latency | ~200ms | ~400ms |
Choose Codestral when:
- ✓ API integration code
- ✓ SDK generation
- ✓ Code review
256K context for code, Strong code generation, Good APIs
Choose QwQ 32B when:
- ✓ Math reasoning
- ✓ Logic tasks
- ✓ Analysis
Strong reasoning, Compact for reasoning, Cost-efficient
Verdict: Codestral vs QwQ 32B
For cost efficiency, QwQ 32B wins at $0.03/1M input tokens. For speed, Codestral is faster at ~200ms. Codestral excels at API integration code 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
Codestral costs $0.03/1M input tokens and $0.05/1M output tokens. QwQ 32B costs $0.03 input and $0.06 output. Both models are similarly priced. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Codestral has a 256K context window with ~200ms latency. QwQ 32B offers 128K context at ~400ms. Codestral has the larger context window.
Best For
Codestral (Code) is optimized for: API integration code, SDK generation, Code review. 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 Codestral
response_a = client.chat.completions.create(
model="codestral",
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, Codestral or QwQ 32B?
Codestral (Code, 22B) offers 256K context for code. QwQ 32B (Reasoning, 32B) offers Strong reasoning. Choose Codestral for API integration code or QwQ 32B for Math reasoning.
How much does Codestral cost vs QwQ 32B?
Codestral: $0.03/1M input, $0.05/1M 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 Codestral 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.