gpt-5 vs deepseek-v3.2
Side-by-side comparison of gpt-5 and deepseek-v3.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5 outperforms deepseek-v3.2 on 6 of 10 shared benchmarks.
gpt-5
Input / 1M
$1.25
Output / 1M
$10.00
Context
400K
Model ID
openai/gpt-5
deepseek-v3.2
Input / 1M
$0.56
Output / 1M
$1.68
Context
164K
Model ID
vertex/deepseek-v3.2
Benchmark comparison
Intelligence Indexreasoning
gpt-527.1%
deepseek-v3.225.3%
Coding Indexcoding
gpt-537.8%
deepseek-v3.244.2%
Math Indexmath
gpt-594.3%
deepseek-v3.292.0%
GPQA Diamondreasoning
gpt-585.4%
deepseek-v3.284.0%
AIME 2025math
gpt-594.3%
deepseek-v3.292.0%
LiveCodeBenchcoding
gpt-584.6%
deepseek-v3.286.2%
Terminal-Bench Hardagentic
gpt-532.6%
deepseek-v3.235.6%
τ²-Benchagentic
gpt-584.8%
deepseek-v3.290.6%
MMLU Proknowledge
gpt-587.1%
deepseek-v3.286.2%
Humanity's Last Examreasoning
gpt-528.5%
deepseek-v3.224.6%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| gpt-5 | deepseek-v3.2 | |
|---|---|---|
| Input price / 1M | $1.25 | $0.56 |
| Output price / 1M | $10.00 | $1.68 |
| Context window | 400K tokens | 164K tokens |
| Max output | 128K tokens | 66K tokens |
| Vision input | Yes | N/A |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | OpenAI Inc. | Google LLC (Vertex AI) |
Questions people ask
Is gpt-5 better than deepseek-v3.2?
gpt-5 outperforms deepseek-v3.2 on 6 of 10 shared benchmarks. See the benchmark comparison above for specifics: gpt-5 and deepseek-v3.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-5 or deepseek-v3.2?
deepseek-v3.2 is cheaper. gpt-5 costs $1.25/$10.00 per 1M input/output tokens, while deepseek-v3.2 costs $0.56/$1.68.
Can I use gpt-5 and deepseek-v3.2 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "openai/gpt-5" and "vertex/deepseek-v3.2", no other code changes needed.
What are the context windows?
gpt-5 supports up to 400K tokens of context. deepseek-v3.2 supports up to 164K tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between gpt-5 and deepseek-v3.2 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.