DeepSeek V3.1 Terminus vs Qwen2-72B
DeepSeek V3.1 Terminus (2025) and Qwen2-72B (2024) are compact production models from DeepSeek and Alibaba. DeepSeek V3.1 Terminus ships a 164K-token context window, while Qwen2-72B ships a 128K-token context window. On pricing, DeepSeek V3.1 Terminus costs $0.21/1M input tokens versus $0.45/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
DeepSeek V3.1 Terminus is ~114% cheaper at $0.21/1M; pay for Qwen2-72B only for provider fit.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.1 Terminus | Qwen2-72B |
|---|---|---|
| Decision fit | RAG, Long context, and Classification | Coding, RAG, and Long context |
| Context window | 164K | 128K |
| Cheapest output | $0.79/1M tokens | $0.65/1M tokens |
| Provider routes | 2 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek V3.1 Terminus has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags DeepSeek V3.1 Terminus for RAG, Long context, and Classification.
- Qwen2-72B has the lower cheapest tracked output price at $0.65/1M tokens.
- Qwen2-72B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Qwen2-72B for Coding, RAG, and Long context.
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
Qwen2-72B
$523
Cheapest tracked route: DeepInfra
Estimated monthly gap: $157. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3.1 Terminus and Qwen2-72B; plan for SDK, billing, or endpoint changes.
- Qwen2-72B is $0.14/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- No overlapping tracked provider route is sourced for Qwen2-72B and DeepSeek V3.1 Terminus; plan for SDK, billing, or endpoint changes.
- DeepSeek V3.1 Terminus is $0.14/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2024-06-05 |
| Context window | 164K | 128K |
| Parameters | — | 72.71B |
| Architecture | decoder only | decoder only |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek V3.1 Terminus | Qwen2-72B |
|---|---|---|
| Input price | $0.21/1M tokens | $0.45/1M tokens |
| Output price | $0.79/1M tokens | $0.65/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.1 Terminus | Qwen2-72B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, DeepSeek V3.1 Terminus lists $0.21/1M input and $0.79/1M output tokens, while Qwen2-72B lists $0.45/1M input and $0.65/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3.1 Terminus lower by about $0.13 per million blended tokens. Availability is 2 providers versus 4, so concentration risk also matters.
Choose DeepSeek V3.1 Terminus when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Qwen2-72B 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, DeepSeek V3.1 Terminus or Qwen2-72B?
DeepSeek V3.1 Terminus supports 164K tokens, while Qwen2-72B supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek V3.1 Terminus or Qwen2-72B?
DeepSeek V3.1 Terminus is cheaper on tracked token pricing. DeepSeek V3.1 Terminus costs $0.21/1M input and $0.79/1M output tokens. Qwen2-72B costs $0.45/1M input and $0.65/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.1 Terminus or Qwen2-72B open source?
DeepSeek V3.1 Terminus is listed under Open Source. Qwen2-72B 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 structured outputs, DeepSeek V3.1 Terminus or Qwen2-72B?
Both DeepSeek V3.1 Terminus and Qwen2-72B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run DeepSeek V3.1 Terminus and Qwen2-72B?
DeepSeek V3.1 Terminus is available on NVIDIA NIM and OpenRouter. Qwen2-72B is available on Fireworks AI, DeepInfra, Together AI, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick DeepSeek V3.1 Terminus over Qwen2-72B?
DeepSeek V3.1 Terminus is ~114% cheaper at $0.21/1M; pay for Qwen2-72B only for provider fit. If your workload also depends on long-context analysis, start with DeepSeek V3.1 Terminus; if it depends on provider fit, run the same evaluation with Qwen2-72B.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.