Mistral Large vs Qwen 3
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Qwen 3 is open-weights - free to self-host with no API costs. Mistral Large requires paid API access.
- •Qwen 3 is open-source: fine-tune it, self-host it, or use any inference provider. Mistral Large is closed-source.
Specs comparison
| Mistral Large | Qwen 3 | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen Team) |
| Type | Closed source | Open source |
| Context window | 128K | 128K |
| Input / 1M tokens | $3.00 | ✓Free (self-host) |
| Output / 1M tokens | $9.00 | Free (self-host) |
| Release date | 2024-07 | 2025-04 |
Benchmarks
| Benchmark | Mistral Large | Qwen 3 |
|---|---|---|
| MMLU | 84.0% | ~87% |
| HumanEval | 92.0% | ~89% |
Scores sourced from official provider release posts.
Strengths
Mistral Large
- ✓Native multilingual support across 12+ languages
- ✓Reliable function calling and tool use
- ✓Strong coding across 80+ programming languages
- ✓EU-based inference for data compliance
- ✓128K context at competitive pricing
Qwen 3
- ✓Exceptional multilingual support (100+ languages)
- ✓Apache 2.0 license - fully open for commercial use
- ✓Multiple size variants from 0.6B to 235B MoE
- ✓Strong math and coding across models
- ✓Leading performance for Chinese language tasks
Which should you choose?
Choose Mistral Large if you need...
- →Multilingual European deployments
- →Tool-calling and agentic pipelines
- →Code generation and review
- →GDPR-compliant AI applications
Choose Qwen 3 if you need...
- →Multilingual applications
- →Self-hosted cost-sensitive deployments
- →Custom fine-tuning on domain-specific data
- →Asian market applications