Gemini 2.5 Pro
GoogleGeminiProprietary
Description
A highly capable AI model from Google, designed for the agentic era. Gemini 2.5 Pro performs well on common benchmarks with enhanced reasoning, multimodal capabilities (text, image, video, audio input), and a 1M token context window.
Release Date
2025-06-05
Parameters
—
Context Length
1.0M
Modalities
audio, image, pdf, text, video
Capability Radar
38
general
51
coding
89
reasoning
59
science
78
agents
80
multimodal
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Audio | 66 | 41.0 | AA |
| Code Ranking | 256 | 57.0 | AA |
| General Ranking | 235 | 50.0 | AA |
| Multimodal Ranking | 31 | 60.0 | LS |
| Science | 180 | 62.0 | AA |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Factuality
SimpleQA
54.0%SR
General
Global-MMLU-Lite
89.2%SR
Aider-Polyglot
82.2%SR
Aider-Polyglot Edit
72.7%SR
Long Context
MRCR
93.0%SR
MRCR 1M (pointwise)
82.9%SR
MRCR v2 (8-needle)
16.4%SR
Math
AIME 2024
92.0%SR
AIME 2025
88.0%SR
Multimodal
Video-MME
84.8%SR
VideoMMMU
83.6%SR
MMMU
82.0%SR
Vibe-Eval
67.2%SR
Reasoning
FACTS Grounding
87.8%SR
GPQANYU + Cohere + Anthropic (2023)
86.4%SR
LiveCodeBench v5
75.6%SR
LiveCodeBench
69.0%SR
SWE-Bench Verified
67.2%SR
Humanity's Last Exam
21.6%SR
ARC-AGI v2
4.9%
AA Evaluation Indices
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))96.7
Aime(MAA (Mathematical Association of America))88.7
Math Index(Artificial Analysis)87.7
Aime 25(MAA (Mathematical Association of America))87.7
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))86.2
Gpqa(NYU + Cohere + Anthropic (2023))84.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))80.1
Lcr(Artificial Analysis)69.0
Tau2(Sierra + U Toronto + Vector Institute (2025))54.1
Ifbench(Google Research (2023))48.7
Scicode(UIUC + Argonne National Lab (2024))46.3
Coding Index(Artificial Analysis)33.3
Terminalbench V2 128.5
Terminalbench Hard(Stanford × Laude Institute (2026))26.5
Hle(Center for AI Safety + Scale AI (2025))22.5
Intelligence Index(Artificial Analysis)16.1
Tau Banking9.7
Terminalbench V4 00.0
LLM Stats Category Scores
(LLM Stats (zeroeval))Language90
Long Context90
Multimodal80
Physics80
Healthcare80
Biology80
Chemistry80
Reasoning70
General70
Code70
Math60
Frontend Development60
Factuality50
Vision50
Spatial Reasoning0
Pricing
Input Price$1.25 / 1M tokens
Output Price$10 / 1M tokens
Blended Price (3:1)$3.438 / 1M tokens
Cache Read Price$0.125 / 1M tokens
Speed
Tokens/sec0.0
Time to First Token0.00s
Time to Answer0.00s
Provider Price Ranking
Provider Price Ranking
27 providers
Cheapest: GoogleMost Expensive: Cortecs
ProviderInputOutput
1GoogleCheapest
$0
$0.00001
2DeepInfra
$0
$0.00001
3Poe
$0.87
$7
4Jiekou.AI
$1.125
$9
5302.AI
$1.25
$10
6NanoGPT
$1.25
$10
7Abacus
$1.25
$10
8Perplexity Agent
$1.25
$10
9OpenRouter
$1.25
$10
10ZenMux
$1.25
$10
11Kilo Gateway
$1.25
$10
12SAP AI Core
$1.25
$10
13Helicone
$1.25
$10
14FrogBot
$1.25
$10
15AIHubMix
$1.25
$10
16Vercel AI Gateway
$1.25
$10
17DevPass (LLM Gateway)
$1.25
$10
18Vertex
$1.25
$10
19FastRouter
$1.25
$10
20Auriko
$1.25
$10
21NEAR AI Cloud
$1.25
$10
22OrcaRouter
$1.25
$10
23Merge Gateway
$1.25
$10
24Ofox
$1.25
$10
25Modelis
$1.25
$10
26Impossibl
$1.25
$10
27Cortecs
$1.495
$9.964
Compare pricing across different API providers for this model.