OpenAI (67 models) vs DeepSeek (13 models) - compared across composite scores, pricing, capabilities, and context windows.
| Capability | OpenAI | DeepSeek | Leader |
|---|---|---|---|
Vision | 45/67 | 0/13 | OpenAI |
Reasoning | 37/67 | 11/13 | OpenAI |
Function Calling | 57/67 | 10/13 | OpenAI |
JSON Mode | 63/67 | 12/13 | OpenAI |
Web Search | 28/67 | 0/13 | OpenAI |
Streaming | 65/67 | 13/13 | OpenAI |
Image Output | 4/67 | 0/13 | OpenAI |
| Metric | OpenAI | DeepSeek |
|---|---|---|
| Cheapest Input (per 1M tokens) | $0.030 gpt-oss-20b | $0.140 DeepSeek V4 Flash |
| Cheapest Output (per 1M tokens) | $0.140 | $0.280 |
| Most Expensive Input (per 1M tokens) | $150.00 o1-pro | $0.700 R1 |
| Most Expensive Output (per 1M tokens) | $600.00 | $2.50 |
| Free Models | 2 | 0 |
| Max Context Window | 1.1M | 1.0M |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| GPT-5.4 Pro | 92 | $30.00 | $180.00 |
| GPT-5.4 | 92 | $2.50 | $15.00 |
| GPT-5.2 Pro | 91 | $21.00 | $168.00 |
| GPT-5.2-Codex | 90 | $1.75 | $14.00 |
| GPT-5.2 | 90 | $1.75 | $14.00 |
| GPT-5.3-Codex | 89 | $1.75 | $14.00 |
| GPT-5 Pro | 89 | $15.00 | $120.00 |
| GPT-5.1-Codex-Max | 88 | $1.25 | $10.00 |
| GPT-5 Codex | 88 | $1.25 | $10.00 |
| GPT-5 | 88 | $1.25 | $10.00 |
| GPT-5.3 Chat | 87 | $1.75 | $14.00 |
| GPT-5.1 | 87 | $1.25 | $10.00 |
| GPT-5.1-Codex | 87 | $1.25 | $10.00 |
| GPT-5.1-Codex-Mini | 87 | $0.250 | $2.00 |
| o3 Deep Research | 87 | $10.00 | $40.00 |
| o3 Pro | 87 | $20.00 | $80.00 |
| o3 | 87 | $2.00 | $8.00 |
| GPT-5.1 Chat | 87 | $1.25 | $10.00 |
| o4 Mini Deep Research | 81 | $2.00 | $8.00 |
| o4 Mini | 81 | $1.10 | $4.40 |
| Model | Score | Input $/M | Output $/M |
|---|---|---|---|
| R1 0528 | 79 | $0.500 | $2.15 |
| DeepSeek V4 Pro | 76 | $0.435 | $0.870 |
| R1 | 73 | $0.700 | $2.50 |
| DeepSeek V4 Flash | 72 | $0.140 | $0.280 |
| DeepSeek V3 0324 | 72 | $0.200 | $0.770 |
| DeepSeek V3.2 | 70 | $0.252 | $0.378 |
| DeepSeek V3.2 Exp | 70 | $0.270 | $0.410 |
| DeepSeek V3 | 70 | $0.320 | $0.890 |
| DeepSeek V3.1 Terminus | 69 | $0.270 | $0.950 |
| DeepSeek V3.1 | 69 | $0.150 | $0.750 |
| R1 Distill Llama 70B | 42 | $0.700 | $0.800 |
| DeepSeek V3.2 Speciale | 40 | $0.287 | $0.431 |
| R1 Distill Qwen 32B | 37 | $0.290 | $0.290 |
Compare any two AI providers side-by-side.
DeepSeek's portfolio focuses exclusively on text-based reasoning models (10 of 11 support reasoning), reflecting a deliberate specialization strategy rather than broad capability coverage. This contrasts sharply with OpenAI's multimodal approach where 65.6% of models support vision, including their top performer GPT-5.4 (67/100 score), making DeepSeek unsuitable for any computer vision, image analysis, or visual AI applications.
OpenAI's lower pricing floor comes from offering 2 free models and leveraging economies of scale across 64 models, while DeepSeek's all-paid portfolio of 11 models maintains a narrower $0.290-$2.50 range. The price gap is particularly striking given DeepSeek's top model (V3.2 Exp) scores only 46/100 versus OpenAI's GPT-5.4 at 67/100, making OpenAI both cheaper at the low end and significantly more capable at the high end.
DeepSeek's open-source-only approach (11 of 11 models) inherently limits performance potential compared to OpenAI's mix of 5 open and 59 proprietary models, where closed development enables optimizations like the 1.1M token context in GPT-5.4 versus DeepSeek's 164K maximum. Additionally, OpenAI's 57 of 64 models with function calling versus DeepSeek's 8 of 11 suggests more sophisticated architectural investments that translate to the 49/100 average score versus DeepSeek's 42/100.
DeepSeek achieves 91% reasoning coverage (10 of 11 models) versus OpenAI's 53% (34 of 64), but this specialization comes at a cost: DeepSeek's best reasoning model still scores 46/100 versus OpenAI's 67/100 top performer. The $0.290 minimum for DeepSeek versus $0.110 for OpenAI means you're paying 2.6x more for inferior reasoning performance, making DeepSeek's narrow focus a poor value proposition even within its specialty.
OpenAI's 57 of 64 models with function calling versus DeepSeek's 8 of 11 creates a massive absolute difference (49 more models), critical for production applications requiring tool use, API orchestration, or agent frameworks. Combined with OpenAI's 31 web-search-capable models versus DeepSeek's zero, OpenAI enables entire categories of applications (research assistants, real-time data aggregation) that DeepSeek simply cannot support regardless of price.