Qwen3-105B vs Together AI Mixtral-8x7B-Instruct-v0.1
Qwen3-105B (2025) and Together AI Mixtral-8x7B-Instruct-v0.1 (2023) are compact production models from Alibaba and MistralAI. Qwen3-105B ships a 128k-token context window, while Together AI Mixtral-8x7B-Instruct-v0.1 ships a 33K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Qwen3-105B is safer overall; choose Together AI Mixtral-8x7B-Instruct-v0.1 when provider fit matters.
Specs
| Released | 2025-12-15 | 2023-12-10 |
| Context window | 128k | 33K |
| Parameters | 105B | 56B |
| Architecture | - | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | 2025-02 | 2023-12 |
Pricing and availability
| Qwen3-105B | Together AI Mixtral-8x7B-Instruct-v0.1 | |
|---|---|---|
| Input price | - | $0.4/1M tokens |
| Output price | - | $0.4/1M tokens |
| Providers | - |
Capabilities
| Qwen3-105B | Together AI Mixtral-8x7B-Instruct-v0.1 | |
|---|---|---|
| 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 function calling: Qwen3-105B and tool use: Qwen3-105B. Both models share the core language-model surface, 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.
Pricing coverage is uneven: Qwen3-105B has no token price sourced yet and Together AI Mixtral-8x7B-Instruct-v0.1 has $0.4/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Qwen3-105B when long-context analysis and larger context windows are central to the workload. Choose Together AI Mixtral-8x7B-Instruct-v0.1 when provider fit and broader provider choice 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, Qwen3-105B or Together AI Mixtral-8x7B-Instruct-v0.1?
Qwen3-105B supports 128k tokens, while Together AI Mixtral-8x7B-Instruct-v0.1 supports 33K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Qwen3-105B or Together AI Mixtral-8x7B-Instruct-v0.1 open source?
Qwen3-105B is listed under Open Source. Together AI Mixtral-8x7B-Instruct-v0.1 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 function calling, Qwen3-105B or Together AI Mixtral-8x7B-Instruct-v0.1?
Qwen3-105B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Qwen3-105B or Together AI Mixtral-8x7B-Instruct-v0.1?
Qwen3-105B has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Qwen3-105B and Together AI Mixtral-8x7B-Instruct-v0.1?
Qwen3-105B is available on the tracked providers still being sourced. Together AI Mixtral-8x7B-Instruct-v0.1 is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Qwen3-105B over Together AI Mixtral-8x7B-Instruct-v0.1?
Qwen3-105B is safer overall; choose Together AI Mixtral-8x7B-Instruct-v0.1 when provider fit matters. If your workload also depends on long-context analysis, start with Qwen3-105B; if it depends on provider fit, run the same evaluation with Together AI Mixtral-8x7B-Instruct-v0.1.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.