DeepSeek V3 vs GPT-5.4 Mini
DeepSeek V3 (2024) and GPT-5.4 Mini (2026) are frontier reasoning models from DeepSeek and OpenAI. DeepSeek V3 ships a 64k-token context window, while GPT-5.4 Mini ships a 400K-token context window. On pricing, DeepSeek V3 costs $0.1/1M input tokens versus $0.75/1M 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 is ~650% cheaper at $0.1/1M; pay for GPT-5.4 Mini only for coding workflow support.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | GPT-5.4 Mini |
|---|---|---|
| Decision fit | Coding, Agents, and Classification | Coding, RAG, and Agents |
| Context window | 64k | 400K |
| Cheapest output | $0.3/1M tokens | $4.5/1M tokens |
| Provider routes | 12 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek V3 has the lower cheapest tracked output price at $0.3/1M tokens.
- DeepSeek V3 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
- GPT-5.4 Mini has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.4 Mini uniquely exposes Multimodal, Reasoning, and Code execution in local model data.
- Local decision data tags GPT-5.4 Mini for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
DeepSeek V3
$155
Cheapest tracked route: Bitdeer AI
GPT-5.4 Mini
$1,725
Cheapest tracked route: OpenAI API
Estimated monthly gap: $1,570. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-5.4 Mini is $4.2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.4 Mini adds Multimodal, Reasoning, and Code execution in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- DeepSeek V3 is $4.2/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Multimodal, Reasoning, and Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2026-03-05 |
| Context window | 64k | 400K |
| Parameters | 671B | — |
| Architecture | mixture of experts | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | 2024-04 | 2025-08 |
Pricing and availability
| Pricing attribute | DeepSeek V3 | GPT-5.4 Mini |
|---|---|---|
| Input price | $0.1/1M tokens | $0.75/1M tokens |
| Output price | $0.3/1M tokens | $4.5/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | GPT-5.4 Mini |
|---|---|---|
| Vision | No | No |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on multimodal input: GPT-5.4 Mini, reasoning mode: GPT-5.4 Mini, and code execution: GPT-5.4 Mini. Both models share function calling, tool use, and 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 lists $0.1/1M input and $0.3/1M output tokens, while GPT-5.4 Mini lists $0.75/1M input and $4.5/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3 lower by about $1.71 per million blended tokens. Availability is 12 providers versus 2, so concentration risk also matters.
Choose DeepSeek V3 when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose GPT-5.4 Mini when coding workflow support 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.
FAQ
Which has a larger context window, DeepSeek V3 or GPT-5.4 Mini?
GPT-5.4 Mini supports 400K 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.
Which is cheaper, DeepSeek V3 or GPT-5.4 Mini?
DeepSeek V3 is cheaper on tracked token pricing. DeepSeek V3 costs $0.1/1M input and $0.3/1M output tokens. GPT-5.4 Mini costs $0.75/1M input and $4.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3 or GPT-5.4 Mini open source?
DeepSeek V3 is listed under Open Source. GPT-5.4 Mini 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 multimodal input, DeepSeek V3 or GPT-5.4 Mini?
GPT-5.4 Mini 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 reasoning mode, DeepSeek V3 or GPT-5.4 Mini?
GPT-5.4 Mini has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 and GPT-5.4 Mini?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. GPT-5.4 Mini is available on OpenAI API and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.