Compare · ModelsLive · 2 picked · head to head
GPT-5.1 vs GPT-5 Nano
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.1 wins on 13/16 benchmarks
GPT-5.1 wins 13 of 16 shared benchmarks. Leads in reasoning · math · knowledge.
Category leads
reasoning·GPT-5.1math·GPT-5.1knowledge·GPT-5.1language·GPT-5.1coding·GPT-5.1
Hype vs Reality
Attention vs performance
GPT-5.1
#95 by perf·no signal
GPT-5 Nano
#112 by perf·no signal
Best value
GPT-5 Nano
22.8x better value than GPT-5.1
GPT-5.1
8.8 pts/$
$5.63/M
GPT-5 Nano
201.3 pts/$
$0.23/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
16 benchmarks · 2 models
GPT-5.1GPT-5 Nano
ARC-AGI
GPT-5.1 leads by +52.1
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-5.1
72.8
GPT-5 Nano
20.7
ARC-AGI-2
GPT-5.1 leads by +15.0
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-5.1
17.6
GPT-5 Nano
2.6
FrontierMath-2025-02-28-Private
GPT-5.1 leads by +22.8
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
GPT-5.1
31.0
GPT-5 Nano
8.3
FrontierMath-Tier-4-2025-07-01-Private
GPT-5.1 leads by +10.4
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
GPT-5.1
12.5
GPT-5 Nano
2.1
GPQA diamond
GPT-5.1 leads by +24.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-5.1
83.5
GPT-5 Nano
59.3
HELM · GPQA
GPT-5 Nano leads by +23.7
GPT-5.1
44.2
GPT-5 Nano
67.9
HELM · IFEval
GPT-5.1 leads by +0.3
GPT-5.1
93.5
GPT-5 Nano
93.2
HELM · MMLU-Pro
GPT-5 Nano leads by +19.9
GPT-5.1
57.9
GPT-5 Nano
77.8
HELM · Omni-MATH
GPT-5 Nano leads by +8.3
GPT-5.1
46.4
GPT-5 Nano
54.7
HELM · WildBench
GPT-5.1 leads by +5.7
GPT-5.1
86.3
GPT-5 Nano
80.6
OTIS Mock AIME 2024-2025
GPT-5.1 leads by +7.5
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-5.1
88.6
GPT-5 Nano
81.1
SimpleQA Verified
GPT-5.1 leads by +36.7
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GPT-5.1
48.9
GPT-5 Nano
12.2
SWE-Bench Verified (Bash Only)
GPT-5.1 leads by +31.2
SWE-Bench Verified (Bash Only) · a curated subset of SWE-bench where models fix real Python repository bugs using only bash commands, no agent frameworks.
GPT-5.1
66.0
GPT-5 Nano
34.8
Terminal Bench
GPT-5.1 leads by +36.1
Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency.
GPT-5.1
47.6
GPT-5 Nano
11.5
VPCT
GPT-5.1 leads by +32.3
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
GPT-5.1
38.0
GPT-5 Nano
5.8
WeirdML
GPT-5.1 leads by +22.7
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-5.1
60.8
GPT-5 Nano
38.1
Full benchmark table
| Benchmark | GPT-5.1 | GPT-5 Nano |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 72.8 | 20.7 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 17.6 | 2.6 |
FrontierMath-2025-02-28-Private FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning. | 31.0 | 8.3 |
FrontierMath-Tier-4-2025-07-01-Private FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning. | 12.5 | 2.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 83.5 | 59.3 |
HELM · GPQA | 44.2 | 67.9 |
HELM · IFEval | 93.5 | 93.2 |
HELM · MMLU-Pro | 57.9 | 77.8 |
HELM · Omni-MATH | 46.4 | 54.7 |
HELM · WildBench | 86.3 | 80.6 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 88.6 | 81.1 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 48.9 | 12.2 |
SWE-Bench Verified (Bash Only) SWE-Bench Verified (Bash Only) · a curated subset of SWE-bench where models fix real Python repository bugs using only bash commands, no agent frameworks. | 66.0 | 34.8 |
Terminal Bench Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency. | 47.6 | 11.5 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 38.0 | 5.8 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 60.8 | 38.1 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| GPT-5.1 | $1.25 | $10.00 | 400K tokens (~200 books) | $34.38 |
| GPT-5 Nano | $0.05 | $0.40 | 400K tokens (~200 books) | $1.38 |
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