DeepSeek V3.2 (Chat) vs GPT-5
Complete pricing and performance comparison between DeepSeek's DeepSeek V3.2 (Chat) and OpenAI's GPT-5.
Quick Verdict
Cheaper
DeepSeek V3.2 (Chat)
4.5x cheaper input, 23.8x cheaper output
Larger Context
GPT-5
400K vs 128K
Higher Quality
GPT-5
Score: 45 vs 32
Faster
GPT-5
75 vs 34 tok/s
Pricing Comparison
| Spec | DeepSeek V3.2 (Chat) | GPT-5 | Difference |
|---|---|---|---|
| Provider | DeepSeek | OpenAI | |
| Input / 1M tokens | $0.28 | $1.25 | DeepSeek V3.2 (Chat) is 78% more expensive |
| Output / 1M tokens | $0.42 | $10 | DeepSeek V3.2 (Chat) is 96% more expensive |
| Context Window | 128K | 400K | 3x difference |
| Max Output | 8K | 16K | |
| Tokenizer | cl100k_base | o200k_base |
Performance Benchmarks
| Metric | DeepSeek V3.2 (Chat) | GPT-5 | Winner |
|---|---|---|---|
| Quality Index | 32 | 45 | GPT-5 |
| Output Speed | 34 tok/s | 75 tok/s | GPT-5 |
| Time to First Token | 1.50s | 90.55s | DeepSeek V3.2 (Chat) |
| Value (Quality/$) | 114.6 | 35.7 | Higher = better value |
Benchmark data from Artificial Analysis. Quality Index is a composite score across reasoning, coding, and knowledge tasks.
Cost at Scale
Estimated cost at different usage levels (3:1 input-to-output token ratio, typical for chat).
| Usage | DeepSeek V3.2 (Chat) | GPT-5 | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0004 | $0.0042 | DeepSeek V3.2 (Chat) saves $0.0038 |
10 requests 10K in / 3K out | $0.0041 | $0.042 | DeepSeek V3.2 (Chat) saves $0.038 |
100 requests 100K in / 30K out | $0.041 | $0.425 | DeepSeek V3.2 (Chat) saves $0.384 |
1,000 requests 1M in / 300K out | $0.406 | $4.25 | DeepSeek V3.2 (Chat) saves $3.84 |
10,000 requests 10M in / 3M out | $4.06 | $42.50 | DeepSeek V3.2 (Chat) saves $38.44 |
1M requests/mo 1B in / 300M out | $406.00 | $4250.00 | DeepSeek V3.2 (Chat) saves $3844.00 |
Pros & Cons
DeepSeek V3.2 (Chat) Strengths
- +Cheaper input tokens
- +Cheaper output tokens
- +Lower latency (faster first token)
GPT-5 Strengths
- +Larger context window (400K vs 128K)
- +Higher max output tokens
- +Faster output (75 vs 34 tok/s)
- +Higher quality score (45 vs 32)
When to Use Each Model
Choose DeepSeek V3.2 (Chat) for
- →Budget-conscious projects where cost is the primary factor
Choose GPT-5 for
- →Long documents, large codebases, or multi-turn conversations
- →Generating long-form content or detailed code
- →Tasks requiring maximum accuracy and reasoning
- →Real-time applications, chat, or autocomplete
Frequently Asked Questions
Which is cheaper, DeepSeek V3.2 (Chat) or GPT-5?
For input tokens, DeepSeek V3.2 (Chat) is 4.5x cheaper at $0.28/1M tokens. For output tokens, DeepSeek V3.2 (Chat) is 23.8x cheaper at $0.42/1M tokens. At typical usage (1M input + 300K output), DeepSeek V3.2 (Chat) costs $0.406 vs GPT-5 at $4.25.
What's the context window difference?
DeepSeek V3.2 (Chat) supports 128K context (128,000 tokens), while GPT-5 supports 400K (400,000 tokens). GPT-5 can handle 3x more context in a single request.
Which model has better benchmarks?
Quality Index: DeepSeek V3.2 (Chat) scores 32 vs GPT-5 at 45. Speed: DeepSeek V3.2 (Chat) generates 34 tok/s vs GPT-5 at 75 tok/s. Time to first token: DeepSeek V3.2 (Chat) at 1.50s vs GPT-5 at 90.55s.
When should I choose DeepSeek V3.2 (Chat) over GPT-5?
Choose DeepSeek V3.2 (Chat) when you need: Cheaper input tokens, Cheaper output tokens, Lower latency (faster first token). Choose GPT-5 when you need: Larger context window (400K vs 128K), Higher max output tokens, Faster output (75 vs 34 tok/s), Higher quality score (45 vs 32).
How much would 10,000 API requests cost?
At 1K input + 300 output tokens per request (typical chat): DeepSeek V3.2 (Chat) = $4.06, GPT-5 = $42.50. At 10K input + 1K output per request (longer conversations): DeepSeek V3.2 (Chat) = $32.20, GPT-5 = $225.00.
Related Comparisons
GPT-5 vs GPT-5.4
$1.25 vs $2.5 per 1M input
DeepSeek V3.2 (Chat) vs GPT-5.4
$0.28 vs $2.5 per 1M input
GPT-5 vs GPT-5.4 Mini
$1.25 vs $0.75 per 1M input
DeepSeek V3.2 (Chat) vs GPT-5.4 Mini
$0.28 vs $0.75 per 1M input
GPT-5 vs GPT-5.4 Nano
$1.25 vs $0.2 per 1M input
DeepSeek V3.2 (Chat) vs GPT-5.4 Nano
$0.28 vs $0.2 per 1M input