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 tasks like math, programming, and log…
Model details →Qwen: Qwen3 14B vs Reka: Flash 3
Qwen: Qwen3 14B and Reka: Flash 3 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-following, and function calling. Featuring a 32K context length an…
Model details →Side-by-side comparison
| Capability | Qwen: Qwen3 14B | Reka: Flash 3 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 41K | 66K | 🏆 Reka: Flash 3 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.06 | $0.10 | 🏆 Qwen: Qwen3 14B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.24 | $0.20 | 🏆 Reka: Flash 3 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 Qwen: Qwen3 14B |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Qwen: Qwen3 14B better than Reka: Flash 3?
Qwen: Qwen3 14B and Reka: Flash 3 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between Qwen: Qwen3 14B and Reka: Flash 3?
Input: $0.06 vs $0.10 per 1M tokens. Output: $0.24 vs $0.20 per 1M tokens.
What context windows do Qwen: Qwen3 14B and Reka: Flash 3 support?
Qwen: Qwen3 14B supports up to 41K tokens. Reka: Flash 3 supports up to 66K tokens.
Do both Qwen: Qwen3 14B and Reka: Flash 3 support tool calling?
Qwen: Qwen3 14B: yes. Reka: Flash 3: not advertised.