DeepSeek-V3 vs GPT-5: Detailed Comparison
Choosing between DeepSeek-V3 (DeepSeek) and
GPT-5 (OpenAI) comes down to three things:
per-token pricing, context window, and which capability matters most for your workload.
DeepSeek-V3 costs $0.27/M input vs
$1.25/M for GPT-5;
context windows are 128K vs
400K tokens. Detailed breakdown below.
Side-by-side specs
| Spec | DeepSeek-V3 | GPT-5 |
|---|
| Provider | DeepSeek | OpenAI |
|---|
| Released | 2024-12-26 | 2025-08-07 |
|---|
| Input price |
$0.27/M |
$1.25/M |
| Output price |
$1.10/M |
$10.00/M |
| Cached input |
$0.0700/M |
$0.1300/M |
| Context window |
128K |
400K |
| Max output |
8K |
128K |
| Modalities |
text |
text image |
| Tokenizer |
deepseek |
o200k_base |
Capability matrix
| Capability | DeepSeek-V3 | GPT-5 |
|---|
| function calling |
Yes |
Yes |
| json mode |
Yes |
Yes |
| streaming |
Yes |
Yes |
| vision |
No |
Yes |
| reasoning |
No |
Yes |
Benchmark comparison
Higher is better for all benchmarks shown.
Per-call cost on typical workloads
| Workload (in/out tokens) | DeepSeek-V3 | GPT-5 | Cheaper by |
|---|
| Standard chat (1K / 500) |
$0.000820 |
$0.006250 |
DeepSeek-V3 by $0.005430 |
| RAG (4K / 500) |
$0.001630 |
$0.010000 |
DeepSeek-V3 by $0.008370 |
| Long doc (20K / 1K) |
$0.006500 |
$0.035000 |
DeepSeek-V3 by $0.028500 |
| Very long context (100K / 2K) |
$0.028650 |
$0.140000 |
DeepSeek-V3 by $0.111350 |
When to choose DeepSeek-V3 over GPT-5
- Per-token input cost is 78% lower — meaningful for high-volume workloads.
When to choose GPT-5 over DeepSeek-V3
- Larger context window (400K vs 128K).
- Supports vision — DeepSeek-V3 does not.
- Supports reasoning — DeepSeek-V3 does not.
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