The highly anticipated 400B class of Llama3 is here! Clocking in at 128k context with impressive eval scores, the Meta AI team continues to push the frontier of open-source LLMs. Meta's latest class of model (Llama 3.1) launched with a var…
Model details →Meta: Llama 3.1 405B Instruct vs Qwen: Qwen VL Max
Qwen: Qwen VL Max wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks.
Model details →Side-by-side comparison
| Capability | Meta: Llama 3.1 405B Instruct | Qwen: Qwen VL Max | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | 🏆 Qwen: Qwen VL Max |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $4.00 | $0.52 | 🏆 Qwen: Qwen VL Max |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $4.00 | $2.08 | 🏆 Qwen: Qwen VL Max |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Qwen: Qwen VL Max |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Meta: Llama 3.1 405B Instruct better than Qwen: Qwen VL Max?
Qwen: Qwen VL Max wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 3.1 405B Instruct and Qwen: Qwen VL Max?
Input: $4.00 vs $0.52 per 1M tokens. Output: $4.00 vs $2.08 per 1M tokens.
What context windows do Meta: Llama 3.1 405B Instruct and Qwen: Qwen VL Max support?
Meta: Llama 3.1 405B Instruct supports up to 131K tokens. Qwen: Qwen VL Max supports up to 131K tokens.
Do both Meta: Llama 3.1 405B Instruct and Qwen: Qwen VL Max support tool calling?
Meta: Llama 3.1 405B Instruct: yes. Qwen: Qwen VL Max: yes.