Benchmark analysis of GPT-5.3-Codex-Spark by OpenAI across 32 sourced tests on BenchLM.
According to BenchLM.ai, GPT-5.3-Codex-Spark ranks #7 out of 123 models with an overall score of 87/100. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.
GPT-5.3-Codex-Spark is a proprietary model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
GPT-5.3-Codex-Spark sits inside the GPT-5.3 Codex family alongside GPT-5.3 Codex.
Its strongest category is Coding (#5), while its weakest is Multimodal & Grounded (#18). This performance profile makes it particularly well-suited for software development and code generation tasks.
Creator
OpenAI
Source Type
ProprietaryReasoning
ReasoningContext Window
256K
Overall Score
Arena Elo
1398
GPT-5.3-Codex-Spark ranks #7 out of 123 models with an overall score of 87. It is created by OpenAI and features a 256K context window.
GPT-5.3-Codex-Spark ranks #11 out of 123 models in knowledge and understanding benchmarks with an average score of 78.3. There are stronger options in this category.
GPT-5.3-Codex-Spark ranks #5 out of 123 models in coding and programming benchmarks with an average score of 82.3. It is among the top performers in this category.
GPT-5.3-Codex-Spark ranks #11 out of 123 models in mathematics benchmarks with an average score of 96.7. There are stronger options in this category.
GPT-5.3-Codex-Spark ranks #10 out of 123 models in reasoning and logic benchmarks with an average score of 92.7. It is among the top performers in this category.
GPT-5.3-Codex-Spark ranks #7 out of 123 models in agentic tool use and computer tasks benchmarks with an average score of 85.6. It is among the top performers in this category.
GPT-5.3-Codex-Spark ranks #18 out of 123 models in multimodal and grounded tasks benchmarks with an average score of 88.3. There are stronger options in this category.
GPT-5.3-Codex-Spark ranks #14 out of 123 models in instruction following benchmarks with an average score of 92. There are stronger options in this category.
GPT-5.3-Codex-Spark ranks #11 out of 123 models in multilingual tasks benchmarks with an average score of 90.8. There are stronger options in this category.
GPT-5.3-Codex-Spark belongs to the GPT-5.3 Codex family. Related variants on BenchLM include GPT-5.3 Codex.
GPT-5.3-Codex-Spark has a context window of 256K, which determines how much text it can process in a single interaction.
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