Model Comparator
Compare up to four models using the same criteria.
2 models compared
- Qwen2.5 Turbo
Alibaba
✓ Best published value among measured models. — Data unavailable. These metrics do not establish an overall ranking.
| Metrics | Qwen2.5 Turbo Alibaba | Add a model · 2/4 | |
|---|---|---|---|
| Intelligence | 6.4 | 6.4 | |
| Speed | — | 85.2 t/s | |
| TTFT | — | 2.15 s | |
| Input · $ / 1M tokens | — | $0.050 | |
| Output · $ / 1M tokens | — | $0.20 | |
| Context window | 128K | Best: 1M | |
| Reasoning | No | No | |
| Open weights | Yes | No |
Intelligence
- Llama 3.2 Instruct 90B (Vision)
- 6.4
- Qwen2.5 Turbo
- 6.4
Speed
- Llama 3.2 Instruct 90B (Vision)
- —
- Qwen2.5 Turbo
- 85.2 t/s
TTFT
- Llama 3.2 Instruct 90B (Vision)
- —
- Qwen2.5 Turbo
- 2.15 s
Input · $ / 1M tokens
- Llama 3.2 Instruct 90B (Vision)
- —
- Qwen2.5 Turbo
- $0.050
Output · $ / 1M tokens
- Llama 3.2 Instruct 90B (Vision)
- —
- Qwen2.5 Turbo
- $0.20
Context window
- Llama 3.2 Instruct 90B (Vision)
- 128K
- Qwen2.5 Turbo
- Best: 1M
Reasoning
- Llama 3.2 Instruct 90B (Vision)
- No
- Qwen2.5 Turbo
- No
Open weights
- Llama 3.2 Instruct 90B (Vision)
- Yes
- Qwen2.5 Turbo
- No
Each reasoning level remains a separate configuration.
Score and cost
Each line joins the reasoning levels of a compared model; the large point marks the configuration in the table. The top-right corner holds the best score for the lowest cost. Select another point to compare that level.
- Qwen2.5 Turbo6.4 · $0.088
Not plotted for lack of data on these axes: Llama 3.2 Instruct 90B (Vision).