Qwen 2.5 72B vs Mistral Large 2
Compare Qwen 2.5 72B vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
Full Metric & Specification Comparison
| Metric | Qwen 2.5 72B | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | Alibaba | Mistral | - |
| Input Token Cost (1M) | $0.350 | $2.000 | Qwen 2.5 72B |
| Output Token Cost (1M) | $0.400 | $6.000 | Qwen 2.5 72B |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 89/100 | 89/100 | Tie |
| Streaming Latency | Fast | Fast | - |
Key Architectural Takeaways
- Input Token Cost: Qwen 2.5 72B is $0.35/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: Qwen 2.5 72B is $0.40/1M vs Mistral Large 2 at $6.00/1M
- Context Window: Qwen 2.5 72B supports 128k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: Qwen 2.5 72B scores 89/100 vs Mistral Large 2 at 89/100
- Inference Latency: Qwen 2.5 72B is rated Fast vs Mistral Large 2 rated Fast
Simulate Your Team's Actual Spend
Quick Workload Presets
Pick a scenario or fine-tune token parameters and cloud host below.
Token & Usage ParametersLLM API
Switching from GPT-4o ($195.00/mo) to Gemini 1.5 Flash ($5.85/mo) saves 97%.
Lowest cost per token, high-frequency tasks, real-time audio/video
State-of-the-art open economics, high-performance general intelligence
Real-time conversational streaming, vision, multimodal processing at speed
High-volume text processing, fast chatbots, structured JSON extraction
Top open-weights coding, math, and multilingual benchmark performance
Open-weights privacy, self-hosting or ultra-cheap hosted inferencing
Complex math, algorithmic reasoning, open deep-thinking workflows
Rapid code completion, customer service, fast structured parsing
Cost-effective scientific & coding reasoning, high-accuracy logic
Massive context (2M tokens), full video/audio analysis, large codebases
Multilingual tasks, European compliance, enterprise code generation
Real-time information synthesis, creative generation, vision analysis
Complex multimodal reasoning, coding, and production enterprise apps
Software engineering, nuanced writing, complex agentic tool use
Advanced mathematics, algorithmic coding, PhD-level scientific logic
Frequently Asked Questions
Is Qwen 2.5 72B cheaper than Mistral Large 2?
Qwen 2.5 72B is significantly more economical, charging $0.35/1M input compared to $2.00/1M for Mistral Large 2.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose Qwen 2.5 72B. If you require peak reasoning accuracy and complex tool use, Qwen 2.5 72B is recommended.
How does context window compare between Qwen 2.5 72B and Mistral Large 2?
Qwen 2.5 72B offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.