Google Gemini 3.1 Pro¶
Google's flagship model as of February 2026, Gemini 3.1 Pro represents the intelligence leader in the April 2026 benchmark rankings, with native multimodal capabilities (text, image, audio, video) and extended 1M token context window.
Overview¶
Release Date: February 19, 2026
Status: Active (in production)
Intelligence Rank: #1 (Artificial Analysis Intelligence Index, score: 57)
Supersedes: Gemini 3 Pro Preview (shut down March 9, 2026) and Gemini 2.5 Pro (deprecated)
Key Feature: Thinking model architecture with native multimodal support
Core Strengths¶
1. Intelligence Leadership¶
- Intelligence Index Score: 57 (highest of all models)
- AIME 2025 Score: 95.6% (mathematical reasoning)
- Outperforms: 329 other evaluated models (April 2026)
- Benchmark position: #1 across major reasoning benchmarks
2. Native Multimodal¶
- Text: Full language understanding
- Image: Spatial reasoning, object detection, visual analysis
- Audio: Speech understanding, music analysis
- Video: Can ingest up to 45 minutes of video content
- Architecture: Early-fusion (multimodal from inception, not bolted-on)
This means Gemini 3.1 understands relationships across modalities, not just within each modality separately.
3. Massive Context Window¶
- Current: 1M tokens
- Roadmap: Expanding to 2M tokens
- Practical uses:
- Entire code repositories (10,000+ files)
- Full video transcripts (45+ minutes)
- Complete books or research papers
- Long conversation history (hours of chat)
4. Thinking Model Paradigm¶
- Internal reasoning: Deliberates before responding
- Longer latency: Worth it for complex problems
- Better outputs: More accurate, better-reasoned answers
- Transparency: Can show reasoning steps if requested
Technical Specifications¶
Input Modalities¶
| Modality | Support | Notes |
|---|---|---|
| Text | ✅ Full | Native, no limits |
| Image | ✅ Full | Multiple images, spatial reasoning |
| Audio | ✅ Full | Speech, music, soundscapes |
| Video | ✅ Full | Up to 45 minutes per request |
| Code | ✅ Strong | Excellent code understanding |
Context & Performance¶
| Spec | Value | Notes |
|---|---|---|
| Context Window | 1M tokens | ~750K words |
| Max Output | 65,535 tokens | Full documents |
| Knowledge Cutoff | February 2026 | Most current |
| Latency | Moderate | Thinking adds overhead |
| Cost | ~$3.50/M input, $14/M output | Premium tier |
Reasoning Capabilities¶
| Task | Score | Details |
|---|---|---|
| AIME 2025 | 95.6% | Mathematical olympiad-level problems |
| Logic puzzles | 98% | Complex reasoning |
| Code generation | 96% | Strong coding capability |
| Analysis | 97% | Research-level analysis |
Performance Benchmarks¶
Reasoning Benchmarks¶
| Benchmark | Gemini 3.1 | GPT-5.4 | Claude 4.6 |
|---|---|---|---|
| Intelligence Index | 57 (#1) | 56.8 (#2) | 56.5 (#3) |
| AIME 2025 | 95.6% | 91.2% | 89.4% |
| Logic reasoning | 98% | 96% | 95% |
| Code eval | 96% | 97% | 97% |
Multimodal Tasks¶
| Task | Gemini 3.1 | Others |
|---|---|---|
| Multi-image reasoning | ⭐⭐⭐⭐⭐ | Claude 4.6: ⭐⭐⭐⭐ |
| Video understanding | ⭐⭐⭐⭐⭐ | GPT-5.4: ❌ |
| Audio analysis | ⭐⭐⭐⭐⭐ | Claude 4.6: ⭐⭐ |
| Spatial reasoning | ⭐⭐⭐⭐⭐ | Llama 4: ⭐⭐⭐ |
Use Cases¶
Research & Analysis¶
- ✅ Processing research papers (full context at 1M tokens)
- ✅ Analyzing large datasets with visualization
- ✅ Mathematical proofs and complex reasoning
- ✅ Cross-referencing multiple documents
Content Understanding¶
- ✅ Video analysis (45-minute videos)
- ✅ Multi-page document analysis
- ✅ Code repository comprehension
- ✅ Architectural review of large systems
Multimodal Applications¶
- ✅ Image + text understanding (combined analysis)
- ✅ Audio transcription + analysis
- ✅ Video → transcript → analysis workflow
- ✅ Scientific paper with figures + tables
Enterprise Intelligence¶
- ✅ Legal document analysis (contract review)
- ✅ Medical imaging interpretation
- ✅ Financial report analysis
- ✅ Competitive intelligence from mixed sources
Model Variants¶
Gemini 3.1 Pro (Primary)¶
- Full capabilities
- All modalities
- 1M context
- Thinking mode available
- Premium pricing
Nano Banana 2 (Mobile)¶
- Lightweight version
- On-device deployment
- Apple Siri integration
- Released: February 26, 2026
- Partnership: Google × Apple
Comparison to Previous Models¶
vs Gemini 2.5 Pro (Deprecated)¶
- ✅ Higher intelligence scores (95.6% vs 86.7% on AIME)
- ✅ Same 1M token context
- ✅ Better multimodal understanding
- ✅ Expanded to 2M tokens (roadmap)
- 💾 Similar performance, better benchmarks
Migration: Already migrated (2.5 Pro deprecated March 2026)
vs GPT-5.4 Standard¶
- ✅ Better reasoning (AIME: 95.6% vs 91.2%)
- ✅ Full multimodal (video, audio)
- ✅ Larger context window (1M vs 128K)
- ✅ #1 intelligence ranking
- ❌ No desktop automation (75% OSWorld)
- ❌ Slower inference
When to choose Gemini: Need multimodal + best reasoning
vs Claude 4.6 Opus¶
- ✅ Better math/logic reasoning (AIME: 95.6% vs 89.4%)
- ✅ Full multimodal support
- ✅ Larger context window
- ❌ Less specialized (no Mythos security variant)
- 💾 Similar cost
API Pricing¶
Per-Million-Token¶
| Tier | Input | Output | Monthly (1M queries) |
|---|---|---|---|
| Gemini 3.1 Pro | $3.50 | $14.00 | ~$2,500-5,000 |
| Nano Banana 2 | $0.00 | $0.00 | Free (on-device) |
Cost-benefit: Gemini 3.1 is mid-tier pricing for best-in-class reasoning.
Cost Optimization¶
- If multimodal needed: Gemini 3.1 is only choice
- If reasoning critical: Pay premium for #1 intelligence
- If on-device: Use Nano Banana 2 (free)
Thinking Model Feature¶
Gemini 3.1 supports "thinking" mode (similar to Claude Thinking and GPT-5.4 Thinking):
How it works: 1. Model receives prompt 2. Thinking phase: Internal reasoning (visible if requested) 3. Output phase: Final answer with reasoning path 4. Latency: ~2-5x slower than standard
Best for: - Complex math problems - Scientific analysis - Code design decisions - Legal/contract analysis - Research-level work
Example:
User: "Prove that √2 is irrational"
Gemini (thinking): Let me approach this by contradiction...
[Internal reasoning displayed]
Gemini (output): Here's a formal proof...
[Final answer with references to reasoning]
Multimodal Examples¶
Image + Text¶
User: [Upload image of chart] "Analyze this quarterly sales data"
Gemini: "The chart shows Q1-Q3 trends: revenue up 23%,
costs stable, margins expanding..."
Video Analysis¶
User: [Upload 30-min video] "Summarize this presentation"
Gemini: "This video covers: 1) Product intro (0-5min),
2) Pricing (5-12min)..."
Audio + Transcription¶
User: [Upload meeting audio] "Extract action items"
Gemini: "From the meeting transcript, action items:
- Alice: Finish report by Friday
- Bob: Schedule Q2 review"
When to Use Gemini 3.1 Pro¶
✅ Use When:¶
- Multimodal input (video, images, audio)
- Highest reasoning performance critical
- 1M+ token context needed
- Research/analysis tasks
- Legal/medical intelligence
- Mathematical problem-solving
- Understanding complex visuals
❌ Don't Use When:¶
- Cost is extreme constraint → Use GPT-5.4 Mini
- Need desktop automation → Use GPT-5.4 Standard
- Text-only, simple tasks → Use Claude 4.6 or Llama 4
- Offline/edge deployment → Use Nano Banana 2
- Want open-source → Use Llama 4
Ecosystem Integration¶
Mobile¶
- Nano Banana 2: On Siri and Apple Intelligence
- Integration: Seamless with Apple ecosystem
- Privacy: On-device processing
Enterprise¶
- Google Cloud: API access via Vertex AI
- Workspace: Integration roadmap (Docs, Sheets, Gmail)
- Gemini Advanced: Consumer tier
Summary Table¶
| Aspect | Rating | Notes |
|---|---|---|
| Reasoning | ⭐⭐⭐⭐⭐ | #1 in intelligence |
| Multimodal | ⭐⭐⭐⭐⭐ | Best in class |
| Context window | ⭐⭐⭐⭐⭐ | 1M tokens (expanding to 2M) |
| Cost | ⭐⭐⭐ | Premium pricing |
| Speed | ⭐⭐⭐⭐ | Good, thinking adds overhead |
| Coding | ⭐⭐⭐⭐ | Strong but not primary |
| Agentic | ⭐⭐ | Not designed for automation |
Last Updated¶
April 8, 2026