Together AI - Qwen3.5-9B vs Together AI Mixtral-8x7B-Instruct-v0.1
Together AI - Qwen3.5-9B (2026) and Together AI Mixtral-8x7B-Instruct-v0.1 (2023) are compact production models from Alibaba and MistralAI. Together AI - Qwen3.5-9B ships a 33K-token context window, while Together AI Mixtral-8x7B-Instruct-v0.1 ships a 33K-token context window. On pricing, Together AI - Qwen3.5-9B costs $0.1/1M input tokens versus $0.4/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Together AI - Qwen3.5-9B is ~300% cheaper at $0.1/1M; pay for Together AI Mixtral-8x7B-Instruct-v0.1 only for provider fit.
Specs
| Released | 2026-02-01 | 2023-12-10 |
| Context window | 33K | 33K |
| Parameters | 9B | 56B |
| Architecture | decoder only | decoder only |
| License | Open Source | Open Source |
| Knowledge cutoff | - | 2023-12 |
Pricing and availability
| Together AI - Qwen3.5-9B | Together AI Mixtral-8x7B-Instruct-v0.1 | |
|---|---|---|
| Input price | $0.1/1M tokens | $0.4/1M tokens |
| Output price | $0.15/1M tokens | $0.4/1M tokens |
| Providers |
Capabilities
| Together AI - Qwen3.5-9B | 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: Together AI - Qwen3.5-9B, tool use: Together AI - Qwen3.5-9B, and structured outputs: Together AI - Qwen3.5-9B. 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.
For cost, Together AI - Qwen3.5-9B lists $0.1/1M input and $0.15/1M output tokens, while Together AI Mixtral-8x7B-Instruct-v0.1 lists $0.4/1M input and $0.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Qwen3.5-9B lower by about $0.28 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose Together AI - Qwen3.5-9B when provider fit and lower input-token cost are central to the workload. Choose Together AI Mixtral-8x7B-Instruct-v0.1 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.
FAQ
Which has a larger context window, Together AI - Qwen3.5-9B or Together AI Mixtral-8x7B-Instruct-v0.1?
Together AI - Qwen3.5-9B supports 33K 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.
Which is cheaper, Together AI - Qwen3.5-9B or Together AI Mixtral-8x7B-Instruct-v0.1?
Together AI - Qwen3.5-9B is cheaper on tracked token pricing. Together AI - Qwen3.5-9B costs $0.1/1M input and $0.15/1M output tokens. Together AI Mixtral-8x7B-Instruct-v0.1 costs $0.4/1M input and $0.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Qwen3.5-9B or Together AI Mixtral-8x7B-Instruct-v0.1 open source?
Together AI - Qwen3.5-9B 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, Together AI - Qwen3.5-9B or Together AI Mixtral-8x7B-Instruct-v0.1?
Together AI - Qwen3.5-9B 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, Together AI - Qwen3.5-9B or Together AI Mixtral-8x7B-Instruct-v0.1?
Together AI - Qwen3.5-9B 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 Together AI - Qwen3.5-9B and Together AI Mixtral-8x7B-Instruct-v0.1?
Together AI - Qwen3.5-9B is available on Together AI. Together AI Mixtral-8x7B-Instruct-v0.1 is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.