DeepSeek V3.2 vs GPT-5.2: Benchmarks, Pricing & Capabilities Compared
TL;DR — DeepSeek V3.2 wins for cost + long-context · GPT-5.2 wins for reasoning.
DeepSeek V3.2 DeepSeek
- Released
- 2026-02-12
- Context window
- 1M tokens
- Input price
- $0.27 / Mtok
- Output price
- $1.10 / Mtok
Key features
- 1M+ token context window (10x expansion)
- Improved reasoning capabilities
- Open source release
GPT-5.2 OpenAI
- Released
- 2025-12-11
- Context window
- 400K tokens
- Input price
- $2.00 / Mtok
- Output price
- $10.00 / Mtok
Key features
- Enhanced reasoning capabilities
- Improved adaptive reasoning
- Better multimodal understanding
Benchmark comparison
No benchmarks reported on both models.
Pricing comparison
| Metric | DeepSeek V3.2 | GPT-5.2 |
|---|---|---|
| Input ($/Mtok) | $0.27 | $2.00 |
| Output ($/Mtok) | $1.10 | $10.00 |
| Cached input ($/Mtok) | $0.07 | — |
| Cost per 1M-token roundtrip (1M in + 1M out) | $1.37 | $12.00 |
Context window & modalities
| Attribute | DeepSeek V3.2 | GPT-5.2 |
|---|---|---|
| Context window | 1M tokens | 400K tokens |
| Input modalities | text | text, image, audio |
| Output modalities | text | text, audio |
| Knowledge cutoff | 2025-09 | 2025-08 |
Verdict by use case
Coding
Insufficient data
Basis: SWE-bench
No shared coding benchmark.
Reasoning
→ GPT-5.2
Basis: GPQA Diamond
DeepSeek V3.2 68.4% vs GPT-5.2 80.1% on GPQA Diamond.
Math
Insufficient data
Basis: MATH / AIME
No shared math benchmark.
Long context
→ DeepSeek V3.2
Basis: Context window
DeepSeek V3.2 1M tokens vs GPT-5.2 400K tokens.
Cost
→ DeepSeek V3.2
Basis: Input $/Mtok
DeepSeek V3.2 $0.27/Mtok vs GPT-5.2 $2/Mtok input.
Changelog & releases
DeepSeek V3.2
Released 2026-02-12
Predecessor: deepseek-deepseek-v3
- 10x context window expansion (128K → 1M+ tokens)
- Sliding-window attention for long-context throughput
- Improved chain-of-thought reasoning
- Native FP8 inference support