Model crosswalk
Side-by-side on price, capability and workload — three-way comparison.
Mixtral 8x22B Instruct
vs
Qwen 2.5 72B Instruct
vs
Qwen 3 72B Instruct
Mixtral 8x22B InstructA
Mixtral 8x22B Instruct
141B params · 66K context · apache-2.0
Cheapest providerdeepinfra
$/1M input$600000.00
$/1M output$650000.00
Qwen 2.5 72B InstructB
Qwen 2.5 72B Instruct
72B params · 131K context · qwen
Cheapest providerdeepinfra
$/1M input$180000.00
$/1M output$350000.00
Qwen 3 72B InstructC
Qwen 3 72B Instruct
72B params · 131K context · qwen
Cheapest providerfireworks-ai
$/1M input$220000.00
$/1M output$880000.00
Specs and cheapest providers
| Spec | Mixtral 8x22B Instruct | Qwen 2.5 72B Instruct | Qwen 3 72B Instruct |
|---|---|---|---|
| Parameters | 141B | 72B | 72B |
| Context window | 66K tokens | 131K tokens | 131K tokens |
| License | apache-2.0 | qwen | qwen |
| Released | 2024-04-17 | 2024-09-19 | 2025-04-28 |
| Cheapest provider | |||
| Provider | deepinfra | deepinfra | fireworks-ai |
| Input / 1M tokens | $600000.00 | $180000.00🏆 | $220000.00 |
| Output / 1M tokens | $650000.00 | $350000.00🏆 | $880000.00 |
Benchmark comparison
No benchmark data available yet.
Editor's take
Mixtral 8x22B Instruct, Qwen 2.5 72B Instruct, and Qwen 3 72B Instruct all target the 70B-class capability tier but represent different architectural and generational choices. Mistral's 8x22B (April 2024, Apache 2.0) is a mixture-of-experts model activating roughly 39B parameters per token from a 141B total; the two Alibaba models (September 2024 and 2025, Qwen license) are dense 72B transformers with 131K context windows.
Mixtral 8x22B brought frontier-quality multilingual generation and code performance to the open-weights ecosystem when released in April 2024, and its Apache 2.0 license remains its strongest commercial asset — no usage restrictions, no enterprise agreement required, fully permissive for fine-tuning and redistribution. Its 64K context window is adequate for most RAG workloads but shorter than the 131K on either Qwen 72B variant. For teams where Apache licensing is a hard requirement, this is the strongest model that qualifies.
Qwen 2.5 72B Instruct remains widely deployed as a stable, well-understood production baseline. Benchmark scores on MMLU, HumanEval, and multilingual evals remain competitive against current-generation peers. The Qwen commercial license covers production deployment. Many teams running it in production are pinned to a specific checkpoint for reproducibility — a valid reason to stay even as the 3 generation arrives.
Qwen 3 72B is the current-generation replacement: 2025 instruction-tuning improvements, stronger multilingual performance across CJK and Arabic, and the same 131K context. For new deployments that can use the Qwen license, the 3 generation is the straightforward upgrade from 2.5. Benchmark quality exceeds Mixtral 8x22B on most current evaluations.
Pick Mixtral 8x22B for workloads that require Apache 2.0 licensing. Pick Qwen 2.5 72B for pinned-checkpoint production workloads or reproducibility. Pick Qwen 3 72B for new deployments where Qwen licensing is acceptable and current-generation quality is the priority.
Compare two at a time
Frequently asked questions
- How does Mixtral 8x22B Instruct compare to Qwen 2.5 72B Instruct and Qwen 3 72B Instruct on price?
- Use the table above to compare input and output prices per 1M tokens across the cheapest available providers for each model.
- Which model is best for coding: Mixtral 8x22B Instruct, Qwen 2.5 72B Instruct, or Qwen 3 72B Instruct?
- HumanEval and other code benchmarks are shown in the table. For production code tasks, also consider context window size and provider latency.
- What is the context window for Mixtral 8x22B Instruct, Qwen 2.5 72B Instruct, and Qwen 3 72B Instruct?
- Context window sizes are listed in the Specs row of the comparison table above.
Full model details