DeepSeek V3 vs GPT-5.4
DeepSeek V3 (2024) and GPT-5.4 (2026) are frontier reasoning models from DeepSeek and OpenAI. DeepSeek V3 ships a 64k-token context window, while GPT-5.4 ships a 1.1M-token context window. On MMLU PRO, GPT-5.4 leads by 11.6 pts. On pricing, DeepSeek V3 costs $0.10/1M input tokens; GPT-5.4 ranges from $2.50 to $5/1M input tokens by tier. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
GPT-5.4 fits 16x more tokens; pick it for long-context work and DeepSeek V3 for tighter calls.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | GPT-5.4 |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, Agents, and Classification | Coding, RAG, and Agents |
| Context window | 64k | 1.1M |
| Cheapest output | $0.30/1M tokens | $15/1M tokens |
| Provider routes | 13 tracked | 3 tracked |
| Shared benchmarks | 2 rows | MMLU PRO leader |
Decision tradeoffs
- DeepSeek V3 has the lower cheapest tracked output price at $0.30/1M 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 leads the largest shared benchmark signal on MMLU PRO by 11.6 points.
- GPT-5.4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.4 uniquely exposes Multimodal, Reasoning, and Code execution in local model data.
- Local decision data tags GPT-5.4 for Coding, RAG, and Agents.
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-5.4
$5,750
Cheapest tracked route/tier: OpenAI API
Estimated monthly gap: $5,595. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.4 is $14.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.4 adds Multimodal, Reasoning, and Code execution in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- DeepSeek V3 is $14.70/1M 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 | 1.1M |
| 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 |
|---|---|---|
| Input price | $0.10/1M tokens |
|
| Output price | $0.30/1M tokens |
|
| Providers |
Capabilities
| Capability | DeepSeek V3 | GPT-5.4 |
|---|---|---|
| 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 |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3 | GPT-5.4 |
|---|---|---|
| MMLU PRO | 75.9 | 87.5 |
| Chatbot Arena | 1302.0 | 1479.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V3 at 75.9 and GPT-5.4 at 87.5, with GPT-5.4 ahead by 11.6 points; Chatbot Arena has DeepSeek V3 at 1302 and GPT-5.4 at 1479, with GPT-5.4 ahead by 177 points. The largest visible gap is 177 points on Chatbot Arena, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on multimodal input: GPT-5.4, reasoning mode: GPT-5.4, and code execution: GPT-5.4. 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 $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while GPT-5.4 lists tiered pricing: 0-272,000t is $2.50/1M input and $15/1M output; 272,000t+ is $5/1M input and $22.50/1M output. A 70/30 input-output blend puts DeepSeek V3 lower by about $6.09 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 13 providers versus 3, 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 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.
FAQ
Which has a larger context window, DeepSeek V3 or GPT-5.4?
GPT-5.4 supports 1.1M 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-5.4?
DeepSeek V3 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. GPT-5.4 lists tiered pricing: 0-272,000t is $2.50/1M input and $15/1M output; 272,000t+ is $5/1M input and $22.50/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3 or GPT-5.4 open source?
DeepSeek V3 is listed under Open Source. GPT-5.4 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?
GPT-5.4 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?
GPT-5.4 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?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. GPT-5.4 is available on OpenAI API, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.