GPT-3.5 Turbo is 1.7× cheaper per million tokens (blended). Qwen3.8 27B has the larger context window (1,000,000 vs 16,385 tokens, 61.0×). Qwen3.8 27B is open-weights; the other is not.
GPT-3.5 Turbo vs Qwen3.8 27B
Live catalog fields. Best-in-row is highlighted.
GPT-3.5 Turbo
OpenAI · openai__gpt-3.5-turbo
Qwen3.8 27Bopen
Qwen · qwen__qwen3.8-27b
Identity
| Field | openai__gpt-3.5-turbo | qwen__qwen3.8-27b |
|---|---|---|
| Provider | OpenAI | Qwen |
| Slug | openai__gpt-3.5-turbo | qwen__qwen3.8-27b |
| Status | live | live |
| Open weights | No | Yes |
| License | — | — |
| HuggingFace | — | Qwen/Qwen3.8-27B |
Quality
| Field | openai__gpt-3.5-turbo | qwen__qwen3.8-27b |
|---|---|---|
| Quality index (0–100) | — | 89.0 |
Cost
| Field | openai__gpt-3.5-turbo | qwen__qwen3.8-27b |
|---|---|---|
| Input $ / 1M tokens | $0.50 | $0.42 |
| Cached input $ / 1M | — | $0.09 |
| Output $ / 1M tokens | $1.50 | $3.00 |
Context
| Field | openai__gpt-3.5-turbo | qwen__qwen3.8-27b |
|---|---|---|
| Max context tokens | 16,385 | 1,000,000 |
| Max output tokens | 4,096 | 131,072 |
Modalities
| Field | openai__gpt-3.5-turbo | qwen__qwen3.8-27b |
|---|---|---|
| Input | text | text, image, video |
| Output | text | text |