LLM ReferenceLLM Reference

DeepSeek V3.1 Terminus vs Qwen3.5-4B

DeepSeek V3.1 Terminus (2025) and Qwen3.5-4B (2026) are general-purpose language models from DeepSeek and Alibaba. DeepSeek V3.1 Terminus ships a 164K-token context window, while Qwen3.5-4B ships a 262K-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 is safer overall; choose DeepSeek V3.1 Terminus when provider fit matters.

Decision scorecard

Local evidence first
SignalDeepSeek V3.1 TerminusQwen3.5-4B
Decision fitRAG, Long context, and ClassificationLong context and Vision
Context window164K262K
Cheapest output$0.79/1M tokens-
Provider routes2 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose DeepSeek V3.1 Terminus when...
  • DeepSeek V3.1 Terminus has broader tracked provider coverage for fallback and procurement flexibility.
  • DeepSeek V3.1 Terminus uniquely exposes Structured outputs in local model data.
  • Local decision data tags DeepSeek V3.1 Terminus for RAG, Long context, and Classification.
Choose Qwen3.5-4B when...
  • 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.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

DeepSeek V3.1 Terminus

$366

Cheapest tracked route: OpenRouter

Qwen3.5-4B

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

DeepSeek V3.1 Terminus -> Qwen3.5-4B
  • No overlapping tracked provider route is sourced for DeepSeek V3.1 Terminus 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.
Qwen3.5-4B -> DeepSeek V3.1 Terminus
  • No overlapping tracked provider route is sourced for Qwen3.5-4B and DeepSeek V3.1 Terminus; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • DeepSeek V3.1 Terminus adds Structured outputs in local capability data.

Specs

Specification
Released2025-04-012026-03-02
Context window164K262K
Parameters4B
Architecturedecoder only-
LicenseOpen SourceApache 2.0
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek V3.1 TerminusQwen3.5-4B
Input price$0.21/1M tokens-
Output price$0.79/1M tokens-
Providers-

Capabilities

CapabilityDeepSeek V3.1 TerminusQwen3.5-4B
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo

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: DeepSeek V3.1 Terminus. 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: DeepSeek V3.1 Terminus has $0.21/1M input tokens and Qwen3.5-4B has no token price sourced yet. Provider availability is 2 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek V3.1 Terminus when provider fit and broader provider choice are central to the workload. Choose Qwen3.5-4B 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. 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, DeepSeek V3.1 Terminus or Qwen3.5-4B?

Qwen3.5-4B supports 262K tokens, while DeepSeek V3.1 Terminus supports 164K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is DeepSeek V3.1 Terminus or Qwen3.5-4B open source?

DeepSeek V3.1 Terminus is listed under Open Source. Qwen3.5-4B is listed under Apache 2.0. 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, DeepSeek V3.1 Terminus or Qwen3.5-4B?

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, DeepSeek V3.1 Terminus or Qwen3.5-4B?

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, DeepSeek V3.1 Terminus or Qwen3.5-4B?

DeepSeek V3.1 Terminus 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 DeepSeek V3.1 Terminus and Qwen3.5-4B?

DeepSeek V3.1 Terminus is available on NVIDIA NIM and OpenRouter. Qwen3.5-4B is available on the tracked providers still being sourced. 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.