The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases an…
Model details →Meta: Llama 3.3 70B Instruct (free) vs Qwen: Qwen3 30B A3B Thinking 2507
Meta: Llama 3.3 70B Instruct (free) and Qwen: Qwen3 30B A3B Thinking 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces ar…
Model details →Side-by-side comparison
| Capability | Meta: Llama 3.3 70B Instruct (free) | Qwen: Qwen3 30B A3B Thinking 2507 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 66K | 82K | 🏆 Qwen: Qwen3 30B A3B Thinking 2507 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.00 | $0.20 | 🏆 Meta: Llama 3.3 70B Instruct (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.00 | $2.40 | 🏆 Meta: Llama 3.3 70B Instruct (free) |
| 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 30B A3B Thinking 2507 |
Frequently asked questions
Is Meta: Llama 3.3 70B Instruct (free) better than Qwen: Qwen3 30B A3B Thinking 2507?
Meta: Llama 3.3 70B Instruct (free) and Qwen: Qwen3 30B A3B Thinking 2507 are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between Meta: Llama 3.3 70B Instruct (free) and Qwen: Qwen3 30B A3B Thinking 2507?
Input: $0.00 vs $0.20 per 1M tokens. Output: $0.00 vs $2.40 per 1M tokens.
What context windows do Meta: Llama 3.3 70B Instruct (free) and Qwen: Qwen3 30B A3B Thinking 2507 support?
Meta: Llama 3.3 70B Instruct (free) supports up to 66K tokens. Qwen: Qwen3 30B A3B Thinking 2507 supports up to 82K tokens.
Do both Meta: Llama 3.3 70B Instruct (free) and Qwen: Qwen3 30B A3B Thinking 2507 support tool calling?
Meta: Llama 3.3 70B Instruct (free): yes. Qwen: Qwen3 30B A3B Thinking 2507: yes.