Together AI - Qwen3.5-9B vs Venice Qwen3-235B-A22B
Together AI - Qwen3.5-9B (2026) and Venice Qwen3-235B-A22B (2026) are compact production models from Alibaba. Together AI - Qwen3.5-9B ships a 33K-token context window, while Venice Qwen3-235B-A22B ships a 256k-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.
Venice Qwen3-235B-A22B fits 8x more tokens; pick it for long-context work and Together AI - Qwen3.5-9B for tighter calls.
Specs
| Released | 2026-02-01 | 2026-02-25 |
| Context window | 33K | 256k |
| Parameters | 9B | 235B |
| Architecture | decoder only | - |
| License | Open Source | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Together AI - Qwen3.5-9B | Venice Qwen3-235B-A22B | |
|---|---|---|
| Input price | $0.1/1M tokens | - |
| Output price | $0.15/1M tokens | - |
| Providers | - |
Capabilities
| Together AI - Qwen3.5-9B | Venice Qwen3-235B-A22B | |
|---|---|---|
| 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.
Pricing coverage is uneven: Together AI - Qwen3.5-9B has $0.1/1M input tokens and Venice Qwen3-235B-A22B has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Together AI - Qwen3.5-9B when provider fit and broader provider choice are central to the workload. Choose Venice Qwen3-235B-A22B when long-context analysis and larger context windows 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 Venice Qwen3-235B-A22B?
Venice Qwen3-235B-A22B supports 256k tokens, while Together AI - Qwen3.5-9B supports 33K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Together AI - Qwen3.5-9B or Venice Qwen3-235B-A22B open source?
Together AI - Qwen3.5-9B is listed under Open Source. Venice Qwen3-235B-A22B 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 Venice Qwen3-235B-A22B?
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 Venice Qwen3-235B-A22B?
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.
Which is better for structured outputs, Together AI - Qwen3.5-9B or Venice Qwen3-235B-A22B?
Together AI - Qwen3.5-9B has the clearer documented structured outputs signal in this comparison. If structured outputs 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 Venice Qwen3-235B-A22B?
Together AI - Qwen3.5-9B is available on Together AI. Venice Qwen3-235B-A22B is available on the tracked providers still being sourced. 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.