GPT-5.3-Codex-Spark vs GPT-5 nano

Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.

GPT-5.3-Codex-Spark is clearly ahead on the aggregate, 87 to 45. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.3-Codex-Spark's sharpest advantage is in coding, where it averages 82.3 against 22. The single biggest benchmark swing on the page is SWE-bench Pro, 85 to 22.

GPT-5.3-Codex-Spark is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. That is roughly 20.0x on output cost alone. GPT-5 nano gives you the larger context window at 400K, compared with 256K for GPT-5.3-Codex-Spark.

Quick Verdict

Pick GPT-5.3-Codex-Spark if you want the stronger benchmark profile. GPT-5 nano only becomes the better choice if you want the cheaper token bill or you need the larger 400K context window.

Agentic

GPT-5.3-Codex-Spark

GPT-5.3-Codex-Spark

85.6

GPT-5 nano

37.7

90
Terminal-Bench 2.0
38
82
BrowseComp
48
83
OSWorld-Verified
30

Coding

GPT-5.3-Codex-Spark

GPT-5.3-Codex-Spark

82.3

GPT-5 nano

22

91
HumanEval
Coming soon
80
SWE-bench Verified
Coming soon
80
LiveCodeBench
Coming soon
85
SWE-bench Pro
22

Multimodal & Grounded

GPT-5.3-Codex-Spark

GPT-5.3-Codex-Spark

88.3

GPT-5 nano

56.7

86
MMMU-Pro
58
91
OfficeQA Pro
55

Reasoning

GPT-5.3-Codex-Spark

GPT-5.3-Codex-Spark

92.7

GPT-5 nano

58.8

94
SimpleQA
Coming soon
92
MuSR
Coming soon
97
BBH
Coming soon
91
LongBench v2
57
92
MRCRv2
61

Knowledge

GPT-5.3-Codex-Spark

GPT-5.3-Codex-Spark

78.3

GPT-5 nano

63.7

97
MMLU
Coming soon
95
GPQA
71.2
93
SuperGPQA
Coming soon
91
OpenBookQA
Coming soon
88
MMLU-Pro
Coming soon
42
HLE
Coming soon
88
FrontierScience
58

Instruction Following

Coming soon

Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.

92
IFEval
Coming soon

Multilingual

GPT-5.3-Codex-Spark

GPT-5.3-Codex-Spark

90.8

GPT-5 nano

48

94
MGSM
Coming soon
89
MMLU-ProX
48

Mathematics

GPT-5.3-Codex-Spark

GPT-5.3-Codex-Spark

96.7

GPT-5 nano

85.2

98
AIME 2023
Coming soon
98
AIME 2024
Coming soon
97
AIME 2025
85.2
94
HMMT Feb 2023
Coming soon
96
HMMT Feb 2024
Coming soon
95
HMMT Feb 2025
Coming soon
95
BRUMO 2025
Coming soon
98
MATH-500
Coming soon

Frequently Asked Questions

Which is better, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark is ahead overall, 87 to 45. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 85 and 22.

Which is better for knowledge tasks, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark has the edge for knowledge tasks in this comparison, averaging 78.3 versus 63.7. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark has the edge for coding in this comparison, averaging 82.3 versus 22. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark has the edge for math in this comparison, averaging 96.7 versus 85.2. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.

Which is better for reasoning, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark has the edge for reasoning in this comparison, averaging 92.7 versus 58.8. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark has the edge for agentic tasks in this comparison, averaging 85.6 versus 37.7. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark has the edge for multimodal and grounded tasks in this comparison, averaging 88.3 versus 56.7. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.

Which is better for multilingual tasks, GPT-5.3-Codex-Spark or GPT-5 nano?

GPT-5.3-Codex-Spark has the edge for multilingual tasks in this comparison, averaging 90.8 versus 48. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.

Last updated: March 12, 2026

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