Compare · ModelsLive · 3 picked · head to head
Gemini 1.5 Flash (May 2024) vs GPT-4o-mini vs GPT-4o-mini (2024-07-18)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-4o-mini wins on 10/21 benchmarks
GPT-4o-mini wins 10 of 21 shared benchmarks. Leads in knowledge · math · general.
Category leads
knowledge·GPT-4o-minimath·GPT-4o-minimultimodal·Gemini 1.5 Flash (May 2024)coding·Gemini 1.5 Flash (May 2024)reasoning·GPT-4o-mini (2024-07-18)arena·GPT-4o-mini (2024-07-18)general·GPT-4o-minilanguage·Gemini 1.5 Flash (May 2024)
Hype vs Reality
Attention vs performance
Gemini 1.5 Flash (May 2024)
#154 by perf·no signal
GPT-4o-mini
#254 by perf·no signal
GPT-4o-mini (2024-07-18)
#171 by perf·no signal
Best value
GPT-4o-mini (2024-07-18)
1.5x better value than GPT-4o-mini
Gemini 1.5 Flash (May 2024)
n/a
no price
GPT-4o-mini
77.9 pts/$
$0.38/M
GPT-4o-mini (2024-07-18)
115.2 pts/$
$0.38/M
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
OpenAI
$840.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
21 benchmarks · 3 models
Gemini 1.5 Flash (May 2024)GPT-4o-miniGPT-4o-mini (2024-07-18)
Balrog
Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning.
Gemini 1.5 Flash (May 2024)
14.6
GPT-4o-mini
17.4
GPT-4o-mini (2024-07-18)
17.4
GeoBench
Gemini 1.5 Flash (May 2024) leads by +12.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
Gemini 1.5 Flash (May 2024)
76.0
GPT-4o-mini
64.0
GPT-4o-mini (2024-07-18)
64.0
GPQA diamond
Gemini 1.5 Flash (May 2024) leads by +3.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 1.5 Flash (May 2024)
20.5
GPT-4o-mini
17.0
GPT-4o-mini (2024-07-18)
17.0
GSM8K
Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve.
Gemini 1.5 Flash (May 2024)
82.4
GPT-4o-mini
91.3
GPT-4o-mini (2024-07-18)
91.3
MATH level 5
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
Gemini 1.5 Flash (May 2024)
25.1
GPT-4o-mini
52.6
GPT-4o-mini (2024-07-18)
52.6
MMLU
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
Gemini 1.5 Flash (May 2024)
70.5
GPT-4o-mini
75.7
GPT-4o-mini (2024-07-18)
75.7
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 1.5 Flash (May 2024)
3.8
GPT-4o-mini
6.8
GPT-4o-mini (2024-07-18)
6.8
PIQA
PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks.
Gemini 1.5 Flash (May 2024)
75.0
GPT-4o-mini
77.4
GPT-4o-mini (2024-07-18)
77.4
VideoMME
Gemini 1.5 Flash (May 2024) leads by +7.3
VideoMME · multimodal benchmark testing video understanding across diverse domains, requiring temporal reasoning and cross-frame comprehension.
Gemini 1.5 Flash (May 2024)
60.4
GPT-4o-mini
53.1
GPT-4o-mini (2024-07-18)
53.1
WeirdML
Gemini 1.5 Flash (May 2024) leads by +13.1
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 1.5 Flash (May 2024)
24.9
GPT-4o-mini
11.8
GPT-4o-mini (2024-07-18)
11.8
Aider polyglot
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
GPT-4o-mini
3.6
GPT-4o-mini (2024-07-18)
3.6
ARC-AGI-2
GPT-4o-mini (2024-07-18) leads by +0.1
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-4o-mini
0.0
GPT-4o-mini (2024-07-18)
0.1
Chatbot Arena Elo · Overall
GPT-4o-mini (2024-07-18) leads by +31.2
Gemini 1.5 Flash (May 2024)
1286.5
GPT-4o-mini (2024-07-18)
1317.7
Dtbench
GPT-4o-mini leads by +5.0
Gemini 1.5 Flash (May 2024)
19.0
GPT-4o-mini
24.0
HELM · GPQA
Gemini 1.5 Flash (May 2024) leads by +6.9
Gemini 1.5 Flash (May 2024)
43.7
GPT-4o-mini (2024-07-18)
36.8
HELM · IFEval
Gemini 1.5 Flash (May 2024) leads by +4.9
Gemini 1.5 Flash (May 2024)
83.1
GPT-4o-mini (2024-07-18)
78.2
HELM · MMLU-Pro
Gemini 1.5 Flash (May 2024) leads by +7.5
Gemini 1.5 Flash (May 2024)
67.8
GPT-4o-mini (2024-07-18)
60.3
HELM · Omni-MATH
Gemini 1.5 Flash (May 2024) leads by +2.5
Gemini 1.5 Flash (May 2024)
30.5
GPT-4o-mini (2024-07-18)
28.0
HELM · WildBench
Gemini 1.5 Flash (May 2024) leads by +0.1
Gemini 1.5 Flash (May 2024)
79.2
GPT-4o-mini (2024-07-18)
79.1
Lech Mazur Writing
Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication.
GPT-4o-mini
67.2
GPT-4o-mini (2024-07-18)
67.2
VPCT
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
GPT-4o-mini
1.0
GPT-4o-mini (2024-07-18)
1.0
Full benchmark table
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4o-mini | GPT-4o-mini (2024-07-18) |
|---|---|---|---|
Balrog Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning. | 14.6 | 17.4 | 17.4 |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 76.0 | 64.0 | 64.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 20.5 | 17.0 | 17.0 |
GSM8K Grade School Math 8K · 8,500 linguistically diverse grade-school math word problems that require multi-step reasoning to solve. | 82.4 | 91.3 | 91.3 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 25.1 | 52.6 | 52.6 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 70.5 | 75.7 | 75.7 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 3.8 | 6.8 | 6.8 |
PIQA PIQA (Physical Interaction QA) · tests intuitive physical reasoning by asking models to select the correct approach for everyday physical tasks. | 75.0 | 77.4 | 77.4 |
VideoMME VideoMME · multimodal benchmark testing video understanding across diverse domains, requiring temporal reasoning and cross-frame comprehension. | 60.4 | 53.1 | 53.1 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 24.9 | 11.8 | 11.8 |
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | — | 3.6 | 3.6 |
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. | — | 0.0 | 0.1 |
Chatbot Arena Elo · Overall | 1286.5 | — | 1317.7 |
Dtbench | 19.0 | 24.0 | — |
HELM · GPQA | 43.7 | — | 36.8 |
HELM · IFEval | 83.1 | — | 78.2 |
HELM · MMLU-Pro | 67.8 | — | 60.3 |
HELM · Omni-MATH | 30.5 | — | 28.0 |
HELM · WildBench | 79.2 | — | 79.1 |
Lech Mazur Writing Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication. | — | 67.2 | 67.2 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | — | 1.0 | 1.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | — | — | |
| $0.15 | $0.60 | 128K tokens (~64 books) | $2.62 | |
| $0.15 | $0.60 | 128K tokens (~64 books) | $2.62 |
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