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Google · Released Jun 5, 2025

Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

ReasoningVision
  • Top 31%Lech Mazur Writing
Compare in showdown → OpenRouter ↗ All Google models
Released
Jun 5 2025
Context window
1M 66K out
Input / 1M tokens
$1.25 from $0.63
Output / 1M tokens
$10.00 from $5.00

Where to run it

2 providers compared

Cheapest: Google AI Studio at $0.63 / $5.00 per 1M input / output tokens — 72% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
Google AI Studio $0.63 $5.00 $0.0631M66K100%24h Cheapest
Google AI Studio $1.25 $10.00 $0.131M66K98.9%24h +100%
Googleglobal $1.25 $10.00 $0.131M66K94.8%24h +100%
Googleus $1.25 $10.00 $0.131M66K81.8%24h +100%
Googleeu $1.25 $10.00 $0.131M66K60.2%24h +100%
Googleglobal/priority $2.25 $18.00 $0.231M66K100%24h +260%
Google AI Studiopriority $2.25 $18.00 $0.231M66K— +260%

Value

Price vs. performance

31 models score higher for the same price or lesson GPQA Diamond, e.g. Gemini 3.8 Flash.
25.3%49.0%72.7%96.4% $0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 89.8% · $0.30/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $0.68/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 89.8% · $0.056/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.047/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.44/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.62/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.95/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $0.97/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.10/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.15/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.39/1M in GLM 5 (Z.ai) — 87.8% · $0.60/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05

Gemini 2.5 Pro Preview 06-05 Other Google Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

18 benchmark scores

BenchmarkScoreRankLeader
SWE-bench VerifiedSoftware engineering · Real GitHub issues fixed in Python repos 57.6% #25of 26 Claude Opus 4.783.5%
Terminal-BenchSoftware engineering · Tasks completed with the programs in a real terminal (best agent) 32.6% #31of 40 GPT-5.584.7%
GSOSoftware engineering · Optimize real code to make it significantly faster 3.9% #18of 20 Claude Fable 5.188.2%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 46.3% #59of 93 Claude Opus 5.566.9%
GDPvalAgents & computer use · Real-world occupational tasks, win rate vs experts 23.3% #6of 7 GPT-5.249.7%
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $574 #50of 61 GPT-6 Astra$15,515
Lech Mazur WritingWriting & content · Short stories weaving 10 required elements, judged 0–10 8.38/10 #4of 13 GPT-58.60/10
DeepResearch BenchWriting & content · Find and synthesize information from the web 41.5% #13of 20 Claude Opus 4.655.3%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1226 #87of 88 Claude Opus 5.51820
SpatialViz-BenchDesign & visual · Mental rotation, folding and other spatial puzzles 44.7% #1of 3 Gemini 2.5 Pro44.7%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 85.3% #59of 92 Gemini 4 Argon96.4%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 4.9% #53of 63 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 41.0% #60of 63 Gemini 4 Argon98.5%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 2.0% #69of 96 GPT-5.6 Sol32.3%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 34.8% #67of 96 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 24.6% #65of 72 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 0.0% #60of 62 GPT-6.1 Sol100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 84.7% #64of 90 Gemini 4 Argon100.0%

Specs

Details

Model ID
google/gemini-2.5-pro-preview
Developer
Google
Release date
Jun 5, 2025 ·
Context window
1,048,576 tokens
Max output
65,536 tokens
API price
$1.25 / $10.00 per 1M input / output tokens
Providers
2
Input types
file, image, text, audio
Reasoning
Yes
Tool calling
Yes
Open weights
No
Free tier
No

Release date, prices and providers from OpenRouter's catalog; buying directly from a provider can cost a little differently. Uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.