Qwen3.5-4B vs Together AI Deepseek-LLM-67B-Chat
Qwen3.5-4B (2026) and Together AI Deepseek-LLM-67B-Chat (2024) are compact production models from Alibaba and DeepSeek. Qwen3.5-4B ships a 262K-token context window, while Together AI Deepseek-LLM-67B-Chat ships a 4K-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.
Qwen3.5-4B fits 64x more tokens; pick it for long-context work and Together AI Deepseek-LLM-67B-Chat for tighter calls.
Decision scorecard
Local evidence first| Signal | Qwen3.5-4B | Together AI Deepseek-LLM-67B-Chat |
|---|---|---|
| Decision fit | Long context and Vision | Classification and JSON / Tool use |
| Context window | 262K | 4K |
| Cheapest output | - | $0.6/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Qwen3.5-4B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-4B uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Qwen3.5-4B for Long context and Vision.
- Together AI Deepseek-LLM-67B-Chat has broader tracked provider coverage for fallback and procurement flexibility.
- Together AI Deepseek-LLM-67B-Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Together AI Deepseek-LLM-67B-Chat for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Qwen3.5-4B
Unavailable
No complete token price in local provider data
Together AI Deepseek-LLM-67B-Chat
$630
Cheapest tracked route: Together AI
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Qwen3.5-4B and Together AI Deepseek-LLM-67B-Chat; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Together AI Deepseek-LLM-67B-Chat adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Together AI Deepseek-LLM-67B-Chat and Qwen3.5-4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- Qwen3.5-4B adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-02 | 2024-01-09 |
| Context window | 262K | 4K |
| Parameters | 4B | 67B |
| Architecture | - | decoder only |
| License | Apache 2.0 | Open Source |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Qwen3.5-4B | Together AI Deepseek-LLM-67B-Chat |
|---|---|---|
| Input price | - | $0.6/1M tokens |
| Output price | - | $0.6/1M tokens |
| Providers | - |
Capabilities
| Capability | Qwen3.5-4B | Together AI Deepseek-LLM-67B-Chat |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Qwen3.5-4B, multimodal input: Qwen3.5-4B, and structured outputs: Together AI Deepseek-LLM-67B-Chat. 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: Qwen3.5-4B has no token price sourced yet and Together AI Deepseek-LLM-67B-Chat has $0.6/1M 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 Qwen3.5-4B when long-context analysis and larger context windows are central to the workload. Choose Together AI Deepseek-LLM-67B-Chat 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, Qwen3.5-4B or Together AI Deepseek-LLM-67B-Chat?
Qwen3.5-4B supports 262K tokens, while Together AI Deepseek-LLM-67B-Chat supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Qwen3.5-4B or Together AI Deepseek-LLM-67B-Chat open source?
Qwen3.5-4B is listed under Apache 2.0. Together AI Deepseek-LLM-67B-Chat 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, Qwen3.5-4B or Together AI Deepseek-LLM-67B-Chat?
Qwen3.5-4B 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Qwen3.5-4B or Together AI Deepseek-LLM-67B-Chat?
Qwen3.5-4B has the clearer documented multimodal input signal in this comparison. If multimodal input 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, Qwen3.5-4B or Together AI Deepseek-LLM-67B-Chat?
Together AI Deepseek-LLM-67B-Chat 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 Qwen3.5-4B and Together AI Deepseek-LLM-67B-Chat?
Qwen3.5-4B is available on the tracked providers still being sourced. Together AI Deepseek-LLM-67B-Chat is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.