Google DeepMind

Gemini 2.5 Pro

Tool callingStructured outputReasoningImage inputAudio inputVideo inputFile input
Gemini 2.5 Pro launch post cover

Google's proven reasoning model for coding, math, and multimodal analysis

Context
1.0M
Released
1y ago
Input / 1M tokens
$1.25
Output / 1M tokens
$10.00
Cached input / 1M tokens
$0.13
Cache write / 1M tokens
$0.38

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

Other published benchmarks

EvaluationReported score and source
ARC-AGI-2
4.0%
Third-party evaluator · gemini-2.5-pro_16K
Thinking budget: 16K
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
4.9%
Third-party evaluator · gemini-2.5-pro_32K
Thinking budget: 32K
External evaluation via Epoch AI
Original-source terms apply
ARC-AGI-2
2.9%
Third-party evaluator · gemini-2.5-pro_8K
Thinking budget: 8K
External evaluation via Epoch AI
Original-source terms apply
FrontierMath-2025-02-28-Private
14.1%
Epoch AI · gemini-2.5-pro
Epoch AI evaluation
FrontierMath-Tier-4-2025-07-01-Private
4.2%
Epoch AI · gemini-2.5-pro
Epoch AI evaluation
FrontierMath-Tier-4-v2-Private
0.0%
Epoch AI · gemini-2.5-pro
Epoch AI evaluation
FrontierMath-Tiers-1-3-v2-Private
24.6%
Epoch AI · gemini-2.5-pro
Epoch AI evaluation
GPQA diamond
85.3%
Epoch AI · gemini-2.5-pro
Epoch AI evaluation
OTIS Mock AIME 2024-2025
84.7%
Epoch AI · gemini-2.5-pro
Epoch AI evaluation
SWE-Bench verified
57.6%
Epoch AI · gemini-2.5-pro
Epoch AI evaluation
Terminal Bench
19.6%
Terminal-Bench v2 Leaderboard · gemini-2.5-pro
Agent: Gemini CLI
Terminal-Bench v2 Leaderboard
Original-source terms apply
Terminal Bench
26.1%
Terminal-Bench v2 Leaderboard · gemini-2.5-pro
Agent: Mini-SWE-Agent
Terminal-Bench v2 Leaderboard
Original-source terms apply
Terminal Bench
16.4%
Terminal-Bench v2 Leaderboard · gemini-2.5-pro
Agent: OpenHands
Terminal-Bench v2 Leaderboard
Original-source terms apply
Terminal Bench
32.6%
Terminal-Bench v2 Leaderboard · gemini-2.5-pro
Agent: Terminus 2
Terminal-Bench v2 Leaderboard
Original-source terms apply
Terminal Bench
19.6%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gemini-2.5-pro
Agent: Gemini CLI
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
26.1%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gemini-2.5-pro
Agent: Mini-SWE-Agent
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
16.4%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gemini-2.5-pro
Agent: OpenHands
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply
Terminal Bench
32.6%
https://www.tbench.ai/leaderboard/terminal-bench/2.0 · gemini-2.5-pro
Agent: Terminus 2
https://www.tbench.ai/leaderboard/terminal-bench/2.0
Original-source terms apply

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Specifications

Model family
Gemini
Type
Language model
Predecessor
—
Successor
—
Released
June 17, 2025
Model ID
google/gemini-2.5-pro
Openness
Closed
License
—
Input modalities
text, image, file, audio, video
Output modalities
text
Modality
text+image+file+audio+video->text
Tokenizer
Gemini
Max output tokens
66K
Knowledge cutoff
2025-01
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
google/gemini-2.5-pro
Source family
gemini-pro
Last updated
2025-06-17
Knowledge cutoff
2025-01
Model context
1.0M
Model output limit
66K
Open weights
No
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Temperature control
Yes

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
Aider Polyglot83.1 · percent correct2025-06-06Source
Artificial Analysis Coding Index32 · index2026-06-02Source
SciCode42.8 · percent correct2026-06-02Source
Terminal-Bench Hard26.5 · success rate2026-06-02Source
Complete source record (JSON)
{
  "id": "google/gemini-2.5-pro",
  "name": "Gemini 2.5 Pro",
  "description": "Google's proven reasoning model for coding, math, and multimodal analysis",
  "family": "gemini-pro",
  "last_updated": "2025-06-17",
  "knowledge": "2025-01",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text",
      "image",
      "audio",
      "video",
      "pdf"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1048576,
    "output": 65536
  },
  "benchmarks": [
    {
      "name": "Aider Polyglot",
      "score": 83.1,
      "source": "https://aider.chat/docs/leaderboards/",
      "metric": "percent correct",
      "date": "2025-06-06"
    },
    {
      "name": "Artificial Analysis Coding Index",
      "score": 32,
      "source": "https://openrouter.ai/google/gemini-2.5-pro/benchmarks",
      "metric": "index",
      "date": "2026-06-02"
    },
    {
      "name": "SciCode",
      "score": 42.8,
      "source": "https://openrouter.ai/google/gemini-2.5-pro/benchmarks",
      "metric": "percent correct",
      "date": "2026-06-02"
    },
    {
      "name": "Terminal-Bench Hard",
      "score": 26.5,
      "source": "https://openrouter.ai/google/gemini-2.5-pro/benchmarks",
      "metric": "success rate",
      "date": "2026-06-02"
    }
  ],
  "release_date": "2025-06-17",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
Google AI Studiogoogle-ai-studio/flex1.0M$0.63$5.00$0.06$0.1997.22%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio/flexBatch pricing1.0M$0.63$5.00$0.06$0.1997.22%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global1.0M$1.25$10.00$0.13$0.3896.32%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/eu1.0M$1.25$10.00$0.13$0.3856.91%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/us1.0M$1.25$10.00$0.13$0.3892.77%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/globalBatch pricing1.0M$1.25$10.00$0.13$0.3897.92%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/euBatch pricing1.0M$1.25$10.00$0.13$0.3845.45%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/usBatch pricing1.0M$1.25$10.00$0.13$0.3894.12%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio1.0M$1.25$10.00$0.13$0.3899.30%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studioBatch pricing1.0M$1.25$10.00$0.13$0.3899.23%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global/priority1.0M$2.25$18.00$0.22$0.68100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Googlegoogle-vertex/global/priorityBatch pricing1.0M$2.25$18.00$0.22$0.68100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio/priority1.0M$2.25$18.00$0.22$0.68—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Google AI Studiogoogle-ai-studio/priorityBatch pricing1.0M$2.25$18.00$0.22$0.68—
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

Gemini app/web

Google SynthID text watermarking

Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.

Official explanation