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gpt-5.3-codex vs deepseek-v3.2

Side-by-side comparison of gpt-5.3-codex and deepseek-v3.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.3-codex outperforms deepseek-v3.2 on 4 of 5 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gpt-5.3-codex36.9%
deepseek-v3.225.3%
Coding Indexcoding
gpt-5.3-codexN/A
deepseek-v3.244.2%
Math Indexmath
gpt-5.3-codexN/A
deepseek-v3.292.0%
GPQA Diamondreasoning
gpt-5.3-codex91.5%
deepseek-v3.284.0%
AIME 2025math
gpt-5.3-codexN/A
deepseek-v3.292.0%
LiveCodeBenchcoding
gpt-5.3-codexN/A
deepseek-v3.286.2%
Terminal-Bench Hardagentic
gpt-5.3-codex53.0%
deepseek-v3.235.6%
τ²-Benchagentic
gpt-5.3-codex86.0%
deepseek-v3.290.6%
MMLU Proknowledge
gpt-5.3-codexN/A
deepseek-v3.286.2%
Humanity's Last Examreasoning
gpt-5.3-codex42.5%
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-5.3-codexdeepseek-v3.2
Input price / 1M$1.75$0.56
Output price / 1M$14.00$1.68
Context window400K tokens164K tokens
Max output128K tokens66K tokens
Vision inputYesN/A
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderOpenAI ResponsesGoogle LLC (Vertex AI)

Questions people ask

Is gpt-5.3-codex better than deepseek-v3.2?
gpt-5.3-codex outperforms deepseek-v3.2 on 4 of 5 shared benchmarks. See the benchmark comparison above for specifics: gpt-5.3-codex and deepseek-v3.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-5.3-codex or deepseek-v3.2?
deepseek-v3.2 is cheaper. gpt-5.3-codex costs $1.75/$14.00 per 1M input/output tokens, while deepseek-v3.2 costs $0.56/$1.68.
Can I use gpt-5.3-codex 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-responses/gpt-5.3-codex" and "vertex/deepseek-v3.2", no other code changes needed.
What are the context windows?
gpt-5.3-codex 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-5.3-codex 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.