Mistral Large 2 (2407) vs Together AI Qwen2-72B-Instruct
Mistral Large 2 (2407) (2024) and Together AI Qwen2-72B-Instruct (2024) are compact production models from MistralAI and Alibaba. Mistral Large 2 (2407) ships a 128K-token context window, while Together AI Qwen2-72B-Instruct ships a 33K-token context window. On pricing, Mistral Large 2 (2407) costs $0.5/1M input tokens versus $0.7/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Large 2 (2407) is safer overall; choose Together AI Qwen2-72B-Instruct when provider fit matters.
Specs
| Released | 2024-07-23 | 2024-06-07 |
| Context window | 128K | 33K |
| Parameters | 123B | 72B |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Mistral Large 2 (2407) | Together AI Qwen2-72B-Instruct | |
|---|---|---|
| Input price | $0.5/1M tokens | $0.7/1M tokens |
| Output price | $1.5/1M tokens | $0.7/1M tokens |
| Providers |
Capabilities
| Mistral Large 2 (2407) | Together AI Qwen2-72B-Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Large 2 (2407). Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Mistral Large 2 (2407) lists $0.5/1M input and $1.5/1M output tokens, while Together AI Qwen2-72B-Instruct lists $0.7/1M input and $0.7/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-72B-Instruct lower by about $0.1 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose Mistral Large 2 (2407) when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Together AI Qwen2-72B-Instruct when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Mistral Large 2 (2407) or Together AI Qwen2-72B-Instruct?
Mistral Large 2 (2407) supports 128K tokens, while Together AI Qwen2-72B-Instruct supports 33K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Mistral Large 2 (2407) or Together AI Qwen2-72B-Instruct?
Mistral Large 2 (2407) is cheaper on tracked token pricing. Mistral Large 2 (2407) costs $0.5/1M input and $1.5/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.7/1M input and $0.7/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 (2407) or Together AI Qwen2-72B-Instruct open source?
Mistral Large 2 (2407) is listed under Apache 2.0. Together AI Qwen2-72B-Instruct is listed under Open Source. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Mistral Large 2 (2407) or Together AI Qwen2-72B-Instruct?
Mistral Large 2 (2407) has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Mistral Large 2 (2407) or Together AI Qwen2-72B-Instruct?
Both Mistral Large 2 (2407) and Together AI Qwen2-72B-Instruct expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Mistral Large 2 (2407) and Together AI Qwen2-72B-Instruct?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.