DeepSeek V3.2 (Chat) vs GPT-5.4
Complete pricing and performance comparison between DeepSeek's DeepSeek V3.2 (Chat) and OpenAI's GPT-5.4.
Quick Verdict
Cheaper
DeepSeek V3.2 (Chat)
8.9x cheaper input, 35.7x cheaper output
Larger Context
GPT-5.4
1.1M vs 128K
Higher Quality
GPT-5.4
Score: 57 vs 32
Faster
GPT-5.4
79 vs 34 tok/s
Pricing Comparison
| Spec | DeepSeek V3.2 (Chat) | GPT-5.4 | Difference |
|---|---|---|---|
| Provider | DeepSeek | OpenAI | |
| Input / 1M tokens | $0.28 | $2.5 | DeepSeek V3.2 (Chat) is 89% more expensive |
| Output / 1M tokens | $0.42 | $15 | DeepSeek V3.2 (Chat) is 97% more expensive |
| Context Window | 128K | 1.1M | 8x difference |
| Max Output | 8K | 128K | |
| Tokenizer | cl100k_base | o200k_base |
Performance Benchmarks
| Metric | DeepSeek V3.2 (Chat) | GPT-5.4 | Winner |
|---|---|---|---|
| Quality Index | 32 | 57 | GPT-5.4 |
| Output Speed | 34 tok/s | 79 tok/s | GPT-5.4 |
| Time to First Token | 1.50s | 142.15s | DeepSeek V3.2 (Chat) |
| Value (Quality/$) | 114.6 | 22.9 | 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-5.4 | Savings |
|---|---|---|---|
Single request 1K in / 300 out | $0.0004 | $0.0070 | DeepSeek V3.2 (Chat) saves $0.0066 |
10 requests 10K in / 3K out | $0.0041 | $0.070 | DeepSeek V3.2 (Chat) saves $0.066 |
100 requests 100K in / 30K out | $0.041 | $0.700 | DeepSeek V3.2 (Chat) saves $0.659 |
1,000 requests 1M in / 300K out | $0.406 | $7.00 | DeepSeek V3.2 (Chat) saves $6.59 |
10,000 requests 10M in / 3M out | $4.06 | $70.00 | DeepSeek V3.2 (Chat) saves $65.94 |
1M requests/mo 1B in / 300M out | $406.00 | $7000.00 | DeepSeek V3.2 (Chat) saves $6594.00 |
Pros & Cons
DeepSeek V3.2 (Chat) Strengths
- +Cheaper input tokens
- +Cheaper output tokens
- +Lower latency (faster first token)
GPT-5.4 Strengths
- +Larger context window (1.1M vs 128K)
- +Higher max output tokens
- +Faster output (79 vs 34 tok/s)
- +Higher quality score (57 vs 32)
When to Use Each Model
Choose DeepSeek V3.2 (Chat) for
- →Budget-conscious projects where cost is the primary factor
Choose GPT-5.4 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-5.4?
For input tokens, DeepSeek V3.2 (Chat) is 8.9x cheaper at $0.28/1M tokens. For output tokens, DeepSeek V3.2 (Chat) is 35.7x cheaper at $0.42/1M tokens. At typical usage (1M input + 300K output), DeepSeek V3.2 (Chat) costs $0.406 vs GPT-5.4 at $7.00.
What's the context window difference?
DeepSeek V3.2 (Chat) supports 128K context (128,000 tokens), while GPT-5.4 supports 1.1M (1,050,000 tokens). GPT-5.4 can handle 8x more context in a single request.
Which model has better benchmarks?
Quality Index: DeepSeek V3.2 (Chat) scores 32 vs GPT-5.4 at 57. Speed: DeepSeek V3.2 (Chat) generates 34 tok/s vs GPT-5.4 at 79 tok/s. Time to first token: DeepSeek V3.2 (Chat) at 1.50s vs GPT-5.4 at 142.15s.
When should I choose DeepSeek V3.2 (Chat) over GPT-5.4?
Choose DeepSeek V3.2 (Chat) when you need: Cheaper input tokens, Cheaper output tokens, Lower latency (faster first token). Choose GPT-5.4 when you need: Larger context window (1.1M vs 128K), Higher max output tokens, Faster output (79 vs 34 tok/s), Higher quality score (57 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-5.4 = $70.00. At 10K input + 1K output per request (longer conversations): DeepSeek V3.2 (Chat) = $32.20, GPT-5.4 = $400.00.