Comparison
Gemma 2 27B vs Qwen2.5 32B Instruct
Side-by-side specs, benchmarks and hosted-inference pricing.
Side A
Gemma 2 27BGoogle DeepMind · Gemma
Flagship Gemma 2 release. Uses logit-distillation from a larger teacher model, which is how Google delivers near-70B quality from a 27B student. A solid choice when the Llama community licence doesn't fit and you need quality at the 27B–40B size range.
Side B
Qwen2.5 32B InstructAlibaba · Qwen
32B sweet-spot model: strong reasoning, fits on one H100 in fp16, on a 4090 at Q4. The 32B size in particular hits a quality/cost knee — quality scales with parameters faster than cost up to ~32B, and slower afterwards. Favoured for production chat where 7B isn't sharp enough and where 70B+ would over-spec the hardware budget. Apache 2.0 licence.
Specs
| Parameters | 27B | 32B |
| Context length | 8K | 128K |
| Modality | text | text |
| Released | 2024-06-27 | 2024-09-18 |
| License | Gemma Terms of Use | Apache 2.0 |
| Commercial use | Yes | Yes |
| VRAM fp16 | 54 GB | 64 GB |
| VRAM Q4 | 16.2 GB | 19.2 GB |
Benchmarks
| HumanEval | 51.8 | 88.4 |
| MATH | 42.3 | 83.1 |
| MMLU | 75.2 | 83.3 |
Cheapest hosted pricing
Gemma 2 27B
together: $0.30 in / $0.30 out per 1M tokens
Qwen2.5 32B Instruct
deepinfra: $0.25 in / $0.40 out per 1M tokens