Mistral Small 3 vs Qwen3.5-122B-A10B
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 Qwen3.5-122B-A10B.
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...
Qwen3.5-122B-A10B
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Technical Specifications
| Specification | Mistral Small 3 | Qwen3.5-122B-A10B |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 32,768 tokens | 262,144 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 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3
$0.07
Qwen3.5-122B-A10B
$0.26
Output Price per Million Tokens
Mistral Small 3
$0.20
Qwen3.5-122B-A10B
$2.08
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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
Qwen3.5-122B-A10B Quirks & Gotchas
No developer gotchas reported.