Compare · ModelsLive · 3 picked · head to head
Gemini 2.5 Flash vs Gemini 2.5 Pro vs Voxtral Small 24B 2507
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 2.5 Pro wins on 25/28 benchmarks
Gemini 2.5 Pro wins 25 of 28 shared benchmarks. Leads in knowledge · coding · agentic.
Category leads
knowledge·Gemini 2.5 Procoding·Gemini 2.5 Proagentic·Gemini 2.5 Proreasoning·Gemini 2.5 Proarena·Gemini 2.5 Progeneral·Gemini 2.5 Promath·Gemini 2.5 Prolanguage·Gemini 2.5 Flash
Hype vs Reality
Attention vs performance
Gemini 2.5 Flash
#191 by perf·no signal
Gemini 2.5 Pro
#116 by perf·no signal
Voxtral Small 24B 2507
#269 by perf·no signal
Best value
Voxtral Small 24B 2507
4.7x better value than Gemini 2.5 Flash
Gemini 2.5 Flash
28.1 pts/$
$1.40/M
Gemini 2.5 Pro
9.0 pts/$
$5.63/M
Voxtral Small 24B 2507
131.5 pts/$
$0.20/M
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
Google DeepMind
$4.20T·Tier 1
Mistral AI
$14.0B·Tier 1
Head to head
28 benchmarks · 3 models
Gemini 2.5 FlashGemini 2.5 ProVoxtral Small 24B 2507
AudioMultiChallenge · Text Output
Gemini 2.5 Pro leads by +6.9
Gemini 2.5 Flash
40.0
Gemini 2.5 Pro
46.9
Voxtral Small 24B 2507
26.3
Aider polyglot
Gemini 2.5 Pro leads by +36.0
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
Gemini 2.5 Flash
47.1
Gemini 2.5 Pro
83.1
APEX-Agents
Gemini 2.5 Pro leads by +4.8
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 2.5 Flash
1.8
Gemini 2.5 Pro
6.6
ARC-AGI
Gemini 2.5 Pro leads by +8.7
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 2.5 Flash
32.3
Gemini 2.5 Pro
41.0
ARC-AGI-2
Gemini 2.5 Pro leads by +2.3
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 2.5 Flash
2.5
Gemini 2.5 Pro
4.9
Chatbot Arena Elo · Overall
Gemini 2.5 Pro leads by +36.2
Gemini 2.5 Flash
1409.4
Gemini 2.5 Pro
1445.6
Balrog
Gemini 2.5 Pro leads by +9.8
Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning.
Gemini 2.5 Flash
33.5
Gemini 2.5 Pro
43.3
DeepResearch Bench
Gemini 2.5 Pro leads by +13.6
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
Gemini 2.5 Flash
29.2
Gemini 2.5 Pro
42.8
Dtbench
Gemini 2.5 Pro leads by +9.8
Gemini 2.5 Flash
60.9
Gemini 2.5 Pro
70.7
Fiction.LiveBench
Gemini 2.5 Pro leads by +44.5
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
Gemini 2.5 Flash
47.2
Gemini 2.5 Pro
91.7
FrontierMath-2025-02-28-Private
Gemini 2.5 Pro leads by +5.6
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Gemini 2.5 Flash
8.5
Gemini 2.5 Pro
14.1
FrontierMath-Tier-4-2025-07-01-Private
Gemini 2.5 Flash leads by +2.8
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
Gemini 2.5 Flash
6.9
Gemini 2.5 Pro
4.2
GeoBench
Gemini 2.5 Pro leads by +8.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
Gemini 2.5 Flash
73.0
Gemini 2.5 Pro
81.0
HELM · GPQA
Gemini 2.5 Pro leads by +35.9
Gemini 2.5 Flash
39.0
Gemini 2.5 Pro
74.9
HELM · IFEval
Gemini 2.5 Flash leads by +5.8
Gemini 2.5 Flash
89.8
Gemini 2.5 Pro
84.0
HELM · MMLU-Pro
Gemini 2.5 Pro leads by +22.4
Gemini 2.5 Flash
63.9
Gemini 2.5 Pro
86.3
HELM · Omni-MATH
Gemini 2.5 Pro leads by +3.2
Gemini 2.5 Flash
38.4
Gemini 2.5 Pro
41.6
HELM · WildBench
Gemini 2.5 Pro leads by +4.0
Gemini 2.5 Flash
81.7
Gemini 2.5 Pro
85.7
HLE
Gemini 2.5 Pro leads by +10.0
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%.
Gemini 2.5 Flash
7.7
Gemini 2.5 Pro
17.7
Lech Mazur Writing
Gemini 2.5 Pro leads by +7.3
Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication.
Gemini 2.5 Flash
76.5
Gemini 2.5 Pro
83.8
Lmca
Gemini 2.5 Pro leads by +8.6
Gemini 2.5 Flash
32.3
Gemini 2.5 Pro
40.9
OTIS Mock AIME 2024-2025
Gemini 2.5 Pro leads by +11.7
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 2.5 Flash
73.0
Gemini 2.5 Pro
84.7
AudioMultiChallenge
Gemini 2.5 Pro leads by +6.9
Gemini 2.5 Flash
40.0
Gemini 2.5 Pro
46.9
SimpleBench
Gemini 2.5 Pro leads by +25.4
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Gemini 2.5 Flash
29.4
Gemini 2.5 Pro
54.9
Terminal Bench
Gemini 2.5 Pro leads by +15.6
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
Gemini 2.5 Flash
17.1
Gemini 2.5 Pro
32.6
The Agent Company
Gemini 2.5 Flash leads by +10.8
The Agent Company · tests AI agents on realistic corporate tasks like email management, code review, data analysis, and cross-tool workflows.
Gemini 2.5 Flash
41.1
Gemini 2.5 Pro
30.3
VPCT
Gemini 2.5 Pro leads by +12.6
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
Gemini 2.5 Flash
7.0
Gemini 2.5 Pro
19.6
WeirdML
Gemini 2.5 Pro leads by +13.1
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 2.5 Flash
41.0
Gemini 2.5 Pro
54.0
Full benchmark table
| Benchmark | Gemini 2.5 Flash | Gemini 2.5 Pro | Voxtral Small 24B 2507 |
|---|---|---|---|
AudioMultiChallenge · Text Output | 40.0 | 46.9 | 26.3 |
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 47.1 | 83.1 | — |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 1.8 | 6.6 | — |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 32.3 | 41.0 | — |
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. | 2.5 | 4.9 | — |
Chatbot Arena Elo · Overall | 1409.4 | 1445.6 | — |
Balrog Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning. | 33.5 | 43.3 | — |
DeepResearch Bench DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses. | 29.2 | 42.8 | — |
Dtbench | 60.9 | 70.7 | — |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 47.2 | 91.7 | — |
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. | 8.5 | 14.1 | — |
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. | 6.9 | 4.2 | — |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 73.0 | 81.0 | — |
HELM · GPQA | 39.0 | 74.9 | — |
HELM · IFEval | 89.8 | 84.0 | — |
HELM · MMLU-Pro | 63.9 | 86.3 | — |
HELM · Omni-MATH | 38.4 | 41.6 | — |
HELM · WildBench | 81.7 | 85.7 | — |
HLE HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%. | 7.7 | 17.7 | — |
Lech Mazur Writing Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication. | 76.5 | 83.8 | — |
Lmca | 32.3 | 40.9 | — |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 73.0 | 84.7 | — |
AudioMultiChallenge | 40.0 | 46.9 | — |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 29.4 | 54.9 | — |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 17.1 | 32.6 | — |
The Agent Company The Agent Company · tests AI agents on realistic corporate tasks like email management, code review, data analysis, and cross-tool workflows. | 41.1 | 30.3 | — |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 7.0 | 19.6 | — |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 41.0 | 54.0 | — |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.30 | $2.50 | 1.0M tokens (~524 books) | $8.50 | |
| $1.25 | $10.00 | 1.0M tokens (~524 books) | $34.38 | |
| $0.10 | $0.30 | 33K tokens (~16 books) | $1.50 |