DeepSeek V3 vs gpt-oss-120b
DeepSeek V3 (2024) and gpt-oss-120b (2025) are compact production models from DeepSeek and OpenAI. DeepSeek V3 ships a 64k-token context window, while gpt-oss-120b ships a 131k-token context window. On pricing, gpt-oss-120b costs $0.04/1M input tokens versus $0.10/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
gpt-oss-120b is ~156% cheaper at $0.04/1M; pay for DeepSeek V3 only for provider fit.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | gpt-oss-120b |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | Coding, Agents, and Classification | RAG, Agents, and Long context |
| Context window | 64k | 131k |
| Cheapest output | $0.30/1M tokens | $0.18/1M tokens |
| Provider routes | 13 tracked | 10 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- DeepSeek V3 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
- gpt-oss-120b has the larger context window for long prompts, retrieval packs, or transcript analysis.
- gpt-oss-120b has the lower cheapest tracked output price at $0.18/1M tokens.
- Local decision data tags gpt-oss-120b 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
$155
Cheapest tracked route/tier: Bitdeer AI
gpt-oss-120b
$76.20
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $78.80. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, Together AI, and Fireworks AI; start route-level A/B tests there.
- gpt-oss-120b is $0.12/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Provider overlap exists on Fireworks AI, OpenRouter, and NVIDIA NIM; start route-level A/B tests there.
- DeepSeek V3 is $0.12/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2025-08-05 |
| Context window | 64k | 131k |
| Parameters | 671B | 120B |
| Architecture | Mixture of Experts | Decoder Only |
| License | MIT(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2024-04 | 2025-08 |
Pricing and availability
| Pricing attribute | DeepSeek V3 | gpt-oss-120b |
|---|---|---|
| Input price | $0.10/1M tokens | $0.04/1M tokens |
| Output price | $0.30/1M tokens | $0.18/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | gpt-oss-120b |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint is close: both models cover function calling, tool use, and 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 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while gpt-oss-120b lists $0.04/1M input and $0.18/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts gpt-oss-120b lower by about $0.08 per million blended tokens. Availability is 13 providers versus 10, so concentration risk also matters.
Choose DeepSeek V3 when provider fit and broader provider choice are central to the workload. Choose gpt-oss-120b when long-context analysis, larger context windows, 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 has a larger context window, DeepSeek V3 or gpt-oss-120b?
gpt-oss-120b supports 131k tokens, while DeepSeek V3 supports 64k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, DeepSeek V3 or gpt-oss-120b?
gpt-oss-120b is cheaper on tracked token pricing. DeepSeek V3 costs $0.10/1M input and $0.30/1M output tokens. gpt-oss-120b costs $0.04/1M input and $0.18/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3 or gpt-oss-120b open source?
DeepSeek V3 is listed under MIT. gpt-oss-120b 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 function calling, DeepSeek V3 or gpt-oss-120b?
Both DeepSeek V3 and gpt-oss-120b expose function calling. 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.
Which is better for tool use, DeepSeek V3 or gpt-oss-120b?
Both DeepSeek V3 and gpt-oss-120b expose tool use. 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 and gpt-oss-120b?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. gpt-oss-120b is available on Cloudflare Workers AI, OpenRouter, Together AI, Fireworks AI, and GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.