Comparison
Qwen2.5 7B Instruct vs Mistral 7B v0.3
Side-by-side specs, benchmarks and hosted-inference pricing.
Side A
Qwen2.5 7B InstructAlibaba · Qwen
Apache-2.0-licensed 7B model with surprisingly strong reasoning and multilingual chops. Qwen 2.5 trains on a larger and more carefully filtered corpus than the original Qwen series, and the 7B variant punches well above its weight on coding and math benchmarks. A strong default for cost-sensitive chat workloads and for fine-tuning experiments where the Apache licence simplifies downstream redistribution.
Side B
Mistral 7B v0.3Mistral AI · Mistral
The original Mistral 7B refresh with 32K context and extended vocabulary. Permissive Apache 2.0 weights and the first widely-deployed sliding-window-attention model. Still useful in 2026 for very-low-cost inference and as a baseline for fine-tuning experiments.
Specs
| Parameters | 7B | 7B |
| Context length | 128K | 33K |
| Modality | text | text |
| Released | 2024-09-18 | 2024-05-22 |
| License | Apache 2.0 | Apache 2.0 |
| Commercial use | Yes | Yes |
| VRAM fp16 | 14 GB | 14 GB |
| VRAM Q4 | 4.2 GB | 4.2 GB |
Benchmarks
| HumanEval | 84.8 | 30.5 |
| MATH | 75.5 | 13.1 |
| MMLU | 74.2 | 60.1 |
Cheapest hosted pricing
Qwen2.5 7B Instruct
deepinfra: $0.08 in / $0.30 out per 1M tokens
Mistral 7B v0.3
together: $0.20 in / $0.20 out per 1M tokens