deepseek-r1 vs gpt-5.5
Side-by-side comparison of deepseek-r1 and gpt-5.5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.5 outperforms deepseek-r1 on 6 of 6 shared benchmarks.
deepseek-r1
Input / 1M
$4.00
Output / 1M
$4.00
Context
64K
Model ID
novita/deepseek/deepseek-r1
gpt-5.5
Input / 1M
$5.00
Output / 1M
$30.00
Context
1.1M
Model ID
openai/gpt-5.5
Benchmark comparison
Intelligence Indexreasoning
deepseek-r120.1%
gpt-5.554.8%
Coding Indexcoding
deepseek-r1N/A
gpt-5.574.9%
Math Indexmath
deepseek-r176.0%
gpt-5.5N/A
GPQA Diamondreasoning
deepseek-r181.3%
gpt-5.593.5%
AIME 2025math
deepseek-r176.0%
gpt-5.5N/A
LiveCodeBenchcoding
deepseek-r177.0%
gpt-5.5N/A
Terminal-Bench Hardagentic
deepseek-r115.9%
gpt-5.560.6%
τ²-Benchagentic
deepseek-r136.5%
gpt-5.593.9%
SciCodecoding
deepseek-r140.3%
gpt-5.556.1%
MMLU Proknowledge
deepseek-r184.9%
gpt-5.5N/A
Humanity's Last Examreasoning
deepseek-r114.9%
gpt-5.544.3%
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
| deepseek-r1 | gpt-5.5 | |
|---|---|---|
| Input price / 1M | $4.00 | $5.00 |
| Output price / 1M | $4.00 | $30.00 |
| Context window | 64K tokens | 1.1M tokens |
| Max output | N/A | 128K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | N/A | Yes |
| Prompt caching | N/A | Yes |
| Computer use | N/A | N/A |
| Provider | Novita AI | OpenAI Inc. |
Questions people ask
Is deepseek-r1 better than gpt-5.5?
gpt-5.5 outperforms deepseek-r1 on 6 of 6 shared benchmarks. See the benchmark comparison above for specifics: deepseek-r1 and gpt-5.5 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, deepseek-r1 or gpt-5.5?
deepseek-r1 is cheaper. deepseek-r1 costs $4.00/$4.00 per 1M input/output tokens, while gpt-5.5 costs $5.00/$30.00.
Can I use deepseek-r1 and gpt-5.5 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "novita/deepseek/deepseek-r1" and "openai/gpt-5.5", no other code changes needed.
What are the context windows?
deepseek-r1 supports up to 64K tokens of context. gpt-5.5 supports up to 1.1M 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 deepseek-r1 and gpt-5.5 with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.