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 for efficient local …
Model details →Mistral: Mistral Small 3 vs Qwen: Qwen3 8B
Qwen: Qwen3 8B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math, coding, and logical inference, …
Model details →Side-by-side comparison
| Capability | Mistral: Mistral Small 3 | Qwen: Qwen3 8B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 41K | 🏆 Qwen: Qwen3 8B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.05 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.08 | $0.40 | 🏆 Mistral: Mistral Small 3 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Qwen: Qwen3 8B |
Frequently asked questions
Is Mistral: Mistral Small 3 better than Qwen: Qwen3 8B?
Qwen: Qwen3 8B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Mistral Small 3 and Qwen: Qwen3 8B?
Input: $0.05 vs $0.05 per 1M tokens. Output: $0.08 vs $0.40 per 1M tokens.
What context windows do Mistral: Mistral Small 3 and Qwen: Qwen3 8B support?
Mistral: Mistral Small 3 supports up to 33K tokens. Qwen: Qwen3 8B supports up to 41K tokens.
Do both Mistral: Mistral Small 3 and Qwen: Qwen3 8B support tool calling?
Mistral: Mistral Small 3: yes. Qwen: Qwen3 8B: yes.