DeepSeek V3.1 vs OpenAI GPT OSS Safeguard 120B
DeepSeek V3.1 (2025) and OpenAI GPT OSS Safeguard 120B (2025) are compact production models from DeepSeek and OpenAI. DeepSeek V3.1 ships a 64K-token context window, while OpenAI GPT OSS Safeguard 120B ships a not-yet-sourced context window. On pricing, OpenAI GPT OSS Safeguard 120B costs $0.15/1M input tokens versus $0.56/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
OpenAI GPT OSS Safeguard 120B is ~273% cheaper at $0.15/1M; pay for DeepSeek V3.1 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V3.1 | OpenAI GPT OSS Safeguard 120B |
|---|---|---|
| Decision fit | Coding, Agents, and Vision | Classification and JSON / Tool use |
| Context window | 64K | — |
| Cheapest output | $1.68/1M tokens | $0.6/1M tokens |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek V3.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek V3.1 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V3.1 uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags DeepSeek V3.1 for Coding, Agents, and Vision.
- OpenAI GPT OSS Safeguard 120B has the lower cheapest tracked output price at $0.6/1M tokens.
- Local decision data tags OpenAI GPT OSS Safeguard 120B for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
DeepSeek V3.1
$868
Cheapest tracked route: Fireworks AI
OpenAI GPT OSS Safeguard 120B
$270
Cheapest tracked route: AWS Bedrock
Estimated monthly gap: $598. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- OpenAI GPT OSS Safeguard 120B is $1.08/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- DeepSeek V3.1 is $1.08/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- DeepSeek V3.1 adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-08-21 | 2025-09-01 |
| Context window | 64K | — |
| Parameters | — | — |
| Architecture | mixture of experts | - |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | 2024-06 |
Pricing and availability
| Pricing attribute | DeepSeek V3.1 | OpenAI GPT OSS Safeguard 120B |
|---|---|---|
| Input price | $0.56/1M tokens | $0.15/1M tokens |
| Output price | $1.68/1M tokens | $0.6/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3.1 | OpenAI GPT OSS Safeguard 120B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: DeepSeek V3.1, multimodal input: DeepSeek V3.1, and code execution: DeepSeek V3.1. Both models share structured outputs, 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.
For cost, DeepSeek V3.1 lists $0.56/1M input and $1.68/1M output tokens, while OpenAI GPT OSS Safeguard 120B lists $0.15/1M input and $0.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts OpenAI GPT OSS Safeguard 120B lower by about $0.61 per million blended tokens. Availability is 6 providers versus 1, so concentration risk also matters.
Choose DeepSeek V3.1 when coding workflow support and broader provider choice are central to the workload. Choose OpenAI GPT OSS Safeguard 120B when provider fit and lower input-token cost 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 is cheaper, DeepSeek V3.1 or OpenAI GPT OSS Safeguard 120B?
OpenAI GPT OSS Safeguard 120B is cheaper on tracked token pricing. DeepSeek V3.1 costs $0.56/1M input and $1.68/1M output tokens. OpenAI GPT OSS Safeguard 120B costs $0.15/1M input and $0.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3.1 or OpenAI GPT OSS Safeguard 120B open source?
DeepSeek V3.1 is listed under Open Source. OpenAI GPT OSS Safeguard 120B is listed under Proprietary. 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 or OpenAI GPT OSS Safeguard 120B?
DeepSeek V3.1 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 or OpenAI GPT OSS Safeguard 120B?
DeepSeek V3.1 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 or OpenAI GPT OSS Safeguard 120B?
Both DeepSeek V3.1 and OpenAI GPT OSS Safeguard 120B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run DeepSeek V3.1 and OpenAI GPT OSS Safeguard 120B?
DeepSeek V3.1 is available on Microsoft Foundry, Fireworks AI, NVIDIA NIM, Together AI, and AWS Bedrock. OpenAI GPT OSS Safeguard 120B is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.