DeepSeek V3 vs GPT-4o (08-06)
DeepSeek V3 (2024) and GPT-4o (08-06) (2024) are compact production models from DeepSeek and OpenAI. DeepSeek V3 ships a 64k-token context window, while GPT-4o (08-06) ships a 128K-token context window. On MMLU PRO, DeepSeek V3 leads by 1.2 pts. On pricing, DeepSeek V3 costs $0.1/1M input tokens versus $2.5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
DeepSeek V3 is ~2400% cheaper at $0.1/1M; pay for GPT-4o (08-06) only for coding workflow support.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2024-08-06 |
| Context window | 64k | 128K |
| Parameters | 671B | 1.76T (8x222B MoE)* |
| Architecture | mixture of experts | mixture of experts |
| License | Open Source | Proprietary |
| Knowledge cutoff | 2024-04 | 2023-10 |
Pricing and availability
| Pricing attribute | DeepSeek V3 | GPT-4o (08-06) |
|---|---|---|
| Input price | $0.1/1M tokens | $2.5/1M tokens |
| Output price | $0.3/1M tokens | $10/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | GPT-4o (08-06) |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
Benchmarks
| Benchmark | DeepSeek V3 | GPT-4o (08-06) |
|---|---|---|
| MMLU PRO | 75.9 | 74.7 |
| Aider Polyglot | 48.4 | 23.1 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V3 at 75.9 and GPT-4o (08-06) at 74.7, with DeepSeek V3 ahead by 1.2 points; Aider Polyglot has DeepSeek V3 at 48.4 and GPT-4o (08-06) at 23.1, with DeepSeek V3 ahead by 25.3 points. The largest visible gap is 25.3 points on Aider Polyglot, 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 vision: GPT-4o (08-06), multimodal input: GPT-4o (08-06), function calling: DeepSeek V3, tool use: DeepSeek V3, and code execution: GPT-4o (08-06). 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 lists $0.1/1M input and $0.3/1M output tokens, while GPT-4o (08-06) lists $2.5/1M input and $10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3 lower by about $4.59 per million blended tokens. Availability is 12 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-4o (08-06) 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-4o (08-06)?
GPT-4o (08-06) supports 128K 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-4o (08-06)?
DeepSeek V3 is cheaper on tracked token pricing. DeepSeek V3 costs $0.1/1M input and $0.3/1M output tokens. GPT-4o (08-06) costs $2.5/1M input and $10/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3 or GPT-4o (08-06) open source?
DeepSeek V3 is listed under Open Source. GPT-4o (08-06) 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 or GPT-4o (08-06)?
GPT-4o (08-06) 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 or GPT-4o (08-06)?
GPT-4o (08-06) 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.
Where can I run DeepSeek V3 and GPT-4o (08-06)?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. GPT-4o (08-06) is available on OpenAI API, Salesforce Einstein Generative AI, and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.