DeepSeek V3.1 vs Qwen2.5-72B
DeepSeek V3.1 (2025) and Qwen2.5-72B (2025) are compact production models from DeepSeek and Alibaba. DeepSeek V3.1 ships a 64k-token context window, while Qwen2.5-72B ships a 128k-token context window. On MMLU PRO, DeepSeek V3.1 leads by 11.3 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Qwen2.5-72B is safer overall; choose DeepSeek V3.1 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.1 | Qwen2.5-72B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | tool-calling agents |
| Decision fit | Coding, Agents, and Vision | RAG, Agents, and Long context |
| Context window | 64k | 128k |
| Cheapest output | $1/1M tokens | - |
| Provider routes | 8 tracked | 0 tracked |
| Shared benchmarks | MMLU PRO leader | 1 shared |
Decision tradeoffs
- DeepSeek V3.1 holds a shared-benchmark lead on MMLU PRO, ahead by 11.3 points.
- DeepSeek V3.1 has broader tracked provider coverage for fallback and route flexibility.
- DeepSeek V3.1 uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags DeepSeek V3.1 for Coding, Agents, and Vision.
- Qwen2.5-72B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen2.5-72B uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Qwen2.5-72B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek V3.1
$466
Cheapest tracked route/tier: Novita AI
Qwen2.5-72B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for DeepSeek V3.1 and Qwen2.5-72B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
- Qwen2.5-72B adds JSON / Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen2.5-72B and DeepSeek V3.1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- DeepSeek V3.1 adds Vision, Multimodal, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-08-21 | 2025-10-10 |
| Context window | 64k | 128k |
| Parameters | 671B total, 37B active (MoE) | 72B |
| Architecture | Mixture of Experts | - |
| License | MITOSI-approved | Apache 2.0OSI-approved |
| Openness | Open source | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | 2024-09 |
Pricing and availability
| Pricing attribute | DeepSeek V3.1 | Qwen2.5-72B |
|---|---|---|
| Input price | $0.27/1M tokens | - |
| Output price | $1/1M tokens | - |
| Providers | - |
Capabilities
| Capability | DeepSeek V3.1 | Qwen2.5-72B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3.1 | Qwen2.5-72B |
|---|---|---|
| MMLU PRO | 83.3 | 72.0 |
Continue comparing
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.