gpt-5.2 vs deepseek-r1
Side-by-side comparison of gpt-5.2 and deepseek-r1— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.2 outperforms deepseek-r1 on 8 of 8 shared benchmarks.
gpt-5.2
Input / 1M
$1.75
Output / 1M
$14.00
Context
400K
Model ID
openai/gpt-5.2
deepseek-r1
Input / 1M
$4.00
Output / 1M
$4.00
Context
64K
Model ID
novita/deepseek/deepseek-r1
Benchmark comparison
MMLU Proknowledge
gpt-5.290.1%
deepseek-r185.0%
GPQA Diamondreasoning
gpt-5.284.8%
deepseek-r171.5%
HumanEvalcoding
gpt-5.295.3%
deepseek-r192.0%
SWE-Bench Verifiedcoding
gpt-5.279.5%
deepseek-r149.2%
MATHmath
gpt-5.295.7%
deepseek-r192.2%
AIME 2024math
gpt-5.292.3%
deepseek-r179.8%
MMMUmultimodal
gpt-5.281.4%
deepseek-r174.8%
LiveBenchreasoning
gpt-5.277.9%
deepseek-r171.5%
τ-bench Retailagentic
gpt-5.275.2%
deepseek-r1—
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-5.2 | deepseek-r1 | |
|---|---|---|
| Input price / 1M | $1.75 | $4.00 |
| Output price / 1M | $14.00 | $4.00 |
| Context window | 400K tokens | 64K tokens |
| Max output | 128K tokens | — |
| Vision input | Yes | — |
| Tool calling | Yes | Yes |
| Reasoning | Yes | — |
| Prompt caching | Yes | — |
| Computer use | — | — |
| Provider | OpenAI Inc. | Novita AI |
Questions people ask
Is gpt-5.2 better than deepseek-r1?
gpt-5.2 outperforms deepseek-r1 on 8 of 8 shared benchmarks. See the benchmark comparison above for specifics — gpt-5.2 and deepseek-r1 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gpt-5.2 or deepseek-r1?
deepseek-r1 is cheaper. gpt-5.2 costs $1.75/$14.00 per 1M input/output tokens, while deepseek-r1 costs $4.00/$4.00.
Can I use gpt-5.2 and deepseek-r1 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "openai/gpt-5.2" or "novita/deepseek/deepseek-r1" — no other code changes needed.
What are the context windows?
gpt-5.2 supports up to 400K tokens of context. deepseek-r1 supports up to 64K 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-5.2 and deepseek-r1 with one line of code
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