Gemini 2.5 Pro
Gemini 2.5 Pro is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 1m context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- Gemini 2.5
- Released
- 2025-06-17
- Context
- 1m
- Max output
- 65,536
- Architecture
- Decoder Only
- Knowledge cutoff
- 2025-01
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Pretrained
Cheapest of 4 routes · GCP Vertex AI · cache read $0.125
About
Google DeepMind's most capable Gemini 2.5 model with native thinking/reasoning support. Features a 1M-token context window, multimodal inputs (text, image, audio, video), function calling, and strong performance across coding, mathematics, and scientific reasoning tasks.
Gemini 2.5 Pro is a proprietary model in the Gemini 2.5 family. The structured metadata tracks a 1m-token context window, multimodal input, reasoning, function calling, tool use, structured outputs, and code execution. This page tracks provider routes through Google AI Studio, GCP Vertex AI, OpenRouter, and 1 more, with the cheapest tracked route listed at $1.25 input and $10 output per 1M tokens. Headline tracked benchmarks include HumanEval 93.1, SWE-bench Verified 63.8, and LiveCodeBench 75.6.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ D4 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Q/$ D1 relevant benchmark in the decision map.
Provider price ladder
Compare all 4Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| GCP Vertex AI | $1.25 | $10.00 | $0.625 / $5.00 | read $0.125 | Serverless |
| Google AI Studio | $1.25 | $10.00 | $0.625 / $5.00 | read $0.125 | Serverless |
| OpenRouter | $1.25 | $10.00 | - | - | Serverless |
| Vercel AI Gateway | $1.25 | $10.00 | - | read $0.125 | Serverless |
Available via routers & gateways(13)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Helicone
GatewayObservability-first AI gateway with routing, caching, rate limiting, and request tracing; Apache 2.0 open-source core with a managed hosted tier for logging and analytics.
Kong AI Gateway
GatewayMulti-LLM AI gateway built on Kong Gateway 3.x, adding semantic routing, load balancing, guardrails, and MCP traffic analytics as plugins over Kong's existing API management platform.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(12)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| HumanEval | 93.1 | 2025-03 | https://storage.googleapis.com/deepmind-media/gemini/gemini_v2_5_report.pdf |
| SWE-bench Verified | 63.8 | custom agent scaffold, extended thinking | https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/ |
| LiveCodeBench | 75.6 | v5 pass@1, Google I/O 2025 | https://blog.google/technology/google-deepmind/google-gemini-updates-io-2025/ |
| Aider Polyglot | 83.1 | preview-06-05 (32k think) | https://aider.chat/docs/leaderboards |
| Chatbot Arena | 1398.0 | — | https://lmarena.ai |
| Google-Proof Q&A | 86.4 | GPQA Diamond, GA June 2025 model card | https://storage.googleapis.com/deepmind-media/Model-Cards/Gemini-2-5-Pro-Model-Card.pdf |
| MMLU PRO | 86.2 | — | https://huggingface.co/spaces/TIGER-Lab/MMLU-Pro |
| AIME 2024 | 92.0 | — | https://deepmind.google/technologies/gemini/pro/ |
| Massive Multi-discipline Multimodal Understanding | 81.7 | standard MMMU pass@1, no extended thinking | https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/ |
| AIME 2025 | 86.7 | AIME 2025 pass@1, extended thinking | https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/ |
| Terminal-Bench 2.0 | 32.6 | Terminal-Bench 2.0, Terminus 2 agent | https://www.tbench.ai/leaderboard/terminal-bench/2.0 |
| Humanity's Last Exam | 18.8 | Humanity's Last Exam, no tools, extended thinking | https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/ |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(4)
Compare Gemini 2.5 Pro with other models
Comparison and alternatives
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Frequently asked questions
What is the context window of Gemini 2.5 Pro?
Gemini 2.5 Pro has a context window of 1m tokens.
What is the max output of Gemini 2.5 Pro?
Gemini 2.5 Pro can generate up to 65,536 output tokens.
How much does Gemini 2.5 Pro cost?
Gemini 2.5 Pro is available at $1.25/1M input tokens through Google AI Studio.
When was Gemini 2.5 Pro released?
Gemini 2.5 Pro was released on 2025-06-17.
Which providers offer Gemini 2.5 Pro?
Gemini 2.5 Pro is available from 4 providers: Google AI Studio, GCP Vertex AI, OpenRouter, Vercel AI Gateway.
What benchmarks has Gemini 2.5 Pro been tested on?
Gemini 2.5 Pro has been evaluated on 12 benchmarks, including HumanEval, SWE-bench Verified, LiveCodeBench, Aider Polyglot, Chatbot Arena.
Cheapest of 4 routes · GCP Vertex AI · cache read $0.125