Mistral Small 3 vs Qwen3 14B
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Small 3 and Qwen3 14B.
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Technical Specifications
| Specification | Mistral Small 3 | Qwen3 14B |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 32,768 tokens | 131,702 tokens |
| Agent Suitability | 84/100 | N/A |
| Time to First Token (TTFT) | 120 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-01-30 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3
$0.07
Qwen3 14B
$0.10
Output Price per Million Tokens
Mistral Small 3
$0.20
Qwen3 14B
$0.24
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mistral Small 3 Quirks & Gotchas
- ▸Fastest TTFT at lowest cost — ideal for high-volume classification
- ▸Not designed for complex reasoning — route multi-step tasks to Mistral Large 3
Qwen3 14B Quirks & Gotchas
No developer gotchas reported.