Gemini 3 Pro
Gemini 3 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 2 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- Gemini 3
- Released
- 2025-12-11
- Context
- 1m
- Architecture
- Decoder Only
- Knowledge cutoff
- 2025-01
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Training
- Pretrained
Cheapest of 2 routes · GCP Vertex AI
About
Google DeepMind's most advanced reasoning Gemini model. Part of the Gemini 3 series with frontier-class intelligence, multimodal understanding, and 1M token context window.
Gemini 3 Pro is a proprietary model in the Gemini 3 family. The structured metadata tracks a 1m-token context window, multimodal input, function calling, tool use, and code execution. This page tracks provider routes through Replicate API and GCP Vertex AI, with the cheapest tracked route listed at $1.25 input and $5 output per 1M tokens. Headline tracked benchmarks include SWE-bench Pro 42.5, Massive Multi-discipline Multimodal Understanding 81.0, and BFCL 72.5.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ D2 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Q/$ C1 relevant benchmark in the decision map.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| GCP Vertex AI | $1.25 | $5.00 | Serverless |
| Replicate API | $2.00 | $12.00 | 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(8)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| SWE-bench Pro | 42.5 | — | https://labs.scale.com/leaderboard/swe_bench_pro_public |
| Massive Multi-discipline Multimodal Understanding | 81.0 | — | https://mmmu-benchmark.github.io/ |
| BFCL | 72.5 | v4 | https://gorilla.cs.berkeley.edu/leaderboard.html |
| MMLU PRO | 91.8 | — | https://deepmind.google/technologies/gemini/pro/ |
| Chatbot Arena | 1486.0 | — | https://arena.ai/leaderboard |
| MMMU Pro | 81.0 | official Google DeepMind model card, Thinking High, no tools | https://deepmind.google/models/model-cards/gemini-3-1-pro/ |
| Google-Proof Q&A | 91.9 | — | https://deepmind.google/technologies/gemini/pro/ |
| SWE-bench Verified | 76.2 | — | https://deepmind.google/technologies/gemini/pro/ |
Migration checks
Rankings & picks(10)
Compare Gemini 3 Pro with other models
Comparison and alternatives
Browse all comparisons →Frequently asked questions
What is the context window of Gemini 3 Pro?
Gemini 3 Pro has a context window of 1m tokens.
How much does Gemini 3 Pro cost?
Gemini 3 Pro pricing ranges from $1.25/1M to $2/1M input tokens depending on the provider.
When was Gemini 3 Pro released?
Gemini 3 Pro was released on 2025-12-11.
Which providers offer Gemini 3 Pro?
Gemini 3 Pro is available from 2 providers: Replicate API, GCP Vertex AI.
What benchmarks has Gemini 3 Pro been tested on?
Gemini 3 Pro has been evaluated on 8 benchmarks, including SWE-bench Pro, Massive Multi-discipline Multimodal Understanding, BFCL, MMLU PRO, Chatbot Arena.
Cheapest of 2 routes · GCP Vertex AI