Gemini 3 Pro
Google DeepMind's flagship multimodal model. Best-in-class for multimodal understanding and agentic / vibe coding workflows. A "Deep Think" reasoning mode is available to AI Ultra subscribers.
Specifications
- Context window
- 2,000,000 tokens
- Modality
- text, vision, audio, video
- License
- proprietary
- Family
- Gemini
- Release date
- 2026-04-22
Links
Provider status
Timeline
Released
Initial public availability.
Pricing changes, lineage updates, and new benchmark results appear here as they happen. See the releases feed for the latest vendor activity.
API pricing
| Tier | Input / 1M tokens | Output / 1M tokens | Cache read | As of |
|---|---|---|---|---|
| standard | $3.50 | $21.00 | — | 2026-04-22 · source ↗ |
Looking for consumer subscriptions? See Google's plans →
Benchmarks
Model Index →| Benchmark | Score | Setting | Measured | Source |
|---|---|---|---|---|
| MMLU-Pro general knowledge | 87.1% | 5-shot CoT | 2026-04-22 | source ↗ |
| GPQA Diamond reasoning | 88.6% | 0-shot CoT | 2026-04-22 | source ↗ |
| HumanEval coding | 96.5% | pass@1 | 2026-04-22 | source ↗ |
| Aider Polyglot coding | 84.8% | edit + test | 2026-04-25 | source ↗ |
| AIME 2025 math | 92.8% | CoT Deep Think | 2026-04-22 | source ↗ |
| LiveCodeBench coding | 76.1% | pass@1, post-cutoff | 2026-04-30 | source ↗ |
| MMMU multimodal | 84.3% | val | 2026-04-22 | source ↗ |
Want to see how Gemini 3 Pro ranks across these? Open the Model Index leaderboard →
Infrastructure context
All intelligence →Compute, silicon, and capex events that shape Gemini 3 Pro's economics.
- Power
Google Stone Mountain GA campus expanding to 2GW with on-site solar+gas hybrid
Google's Stone Mountain, Georgia data center cluster — built around Gemini training — disclosed a 2GW expansion plan in early 2026 backed by a 1.6GW solar+gas hybrid generation deal with Southern Company. Site will host the second-largest TPU v7 deployment after Council Bluffs, IA.
Power: 2 GWLocation: Stone Mountain, GA - Silicon
Google TPU v7 "Ironwood": 9,216-chip pods, 42.5 exaflops, dedicated to inference
Announced at Google Cloud Next April 2026, TPU v7 (Ironwood) is the first Google TPU generation purpose-built for inference rather than training. Each pod scales to 9,216 chips delivering 42.5 exaflops of FP8 compute, with 192GB HBM3e per chip. Powers Gemini 3 Pro / 3.5 inference at Google scale. Annual TPU spend ramped to over $40B for FY26.
Accelerators: TPU v7 Ironwood
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