ModelRefs / GPT-4o vs DeepSeek V3
GPT-4o vs DeepSeek V3
GPT-4o vs DeepSeek V3: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
DeepSeek V3: DeepSeek V3 is DeepSeek's December 2024 open-weights Mixture-of-Experts model, activating 37 billion of 671 billion total parameters per token across a 128,000-token context window. It ships under the MIT licence with published weights and a technical report, and DeepSeek reports its own evaluation table for the text chat model under an 8,000-token output limit.
GPT-4o: GPT-4o is OpenAI's May 2024 multimodal flagship, accepting text and image input across a 128,000-token context window with a 16,384-token maximum output and an October 2023 knowledge cutoff. OpenAI describes it as its most capable model outside the o-series reasoning line, and serves it through dated snapshots with gpt-4o-2024-08-06 as the default. The family is now deprecated on two schedules: gpt-4o-2024-08-06 and gpt-4o-2024-11-20 shut down on 14 January 2027 with gpt-6-luna as the replacement, and the original gpt-4o-2024-05-13 snapshot on 23 October 2026 with gpt-5.6-sol.
Context window: DeepSeek V3 accepts up to 128,000 tokens, GPT-4o up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
DeepSeek V3 vs GPT-4o at a glance
| Attribute | DeepSeek V3 | GPT-4o |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Released | 2024-12-26 | 2024-05-13 |
| Context window | 128,000 tokens | 128,000 tokens |
| Input price | $0.27/M tokens | $2.5/M tokens |
| Output price | $1.1/M tokens | $10/M tokens |
| Licence | MIT | Proprietary |
| Self-hostable | Yes, open weights | No, hosted only |
| Modalities | text | text, vision, audio |
Where they differ most
- Cost Efficiency: DeepSeek V3 85%, GPT-4o 46%. DeepSeek V3 leads on this dimension.
- Coding: DeepSeek V3 67%, GPT-4o 33%. DeepSeek V3 leads on this dimension.
- Reasoning: DeepSeek V3 72%, GPT-4o 61%. DeepSeek V3 leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to GPT-4o vs DeepSeek V3.
Frequently asked questions
Which is better, GPT-4o or DeepSeek V3?
GPT-4o and DeepSeek V3 target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is GPT-4o cheaper than DeepSeek V3?
Compare $0.00250 vs $0.00027 on this page.