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Gemini Models 2026: Complete Guide to Google's AI Models Compared (Gemini 3.5 Flash, 3.1 Pro, 3 Pro & More)

Google Gemini Models 2026
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🌐 Google Gemini Models 2026

Complete Guide & Comparison: 3.5 Flash, 3.1 Pro, 3 Pro, 2.5 Series & More

Google's Gemini family has evolved rapidly throughout 2025 and 2026, creating a sprawling lineup of AI models. Whether you're a developer choosing an API, a business evaluating AI tools, or just an enthusiast wanting to understand the landscape, this guide covers every major Gemini model released and how they compare.

📊 Gemini Benchmark Comparison: Flash 3.5 vs 3.1 Pro

Agentic Coding
76.2%
70.3%
MCP Atlas
83.6%
78.2%
Expert Reasoning
40.2%
44.4%
Long Context
77.3%
84.9%
Speed (tok/s)
152
116
3.5 Flash
3.1 Pro

💡 Quick Summary (June 2026)

  • Gemini 3.5 Flash 👍 — Newest model (May 19, 2026). Best for agents, coding, speed. $1.50/$9 per 1M tokens.
  • Gemini 3.1 Pro — Current flagship for deep reasoning. 2M context window, strongest abstract reasoning. $2/$12 per 1M tokens.
  • Gemini 3.5 Pro ⏳ — Delayed to July 2026. Expected to combine Flash's agentic power with Pro-level reasoning.
  • Gemini 3 Pro — Previous gen, still solid. Good for complex multimodal understanding.
  • Gemini 2.5 Pro/Flash — Older but still available, budget-friendly options.

💲 Pricing Visual (Output cost per 1M tokens)

2.5 Flash
$0.60
3.5 Flash
$9.00
2.5 Pro
$10.00
3 Pro
$12.00
3.1 Pro
$12.00

Bar width proportional to output token cost.

🎯 Gemini Model Lineup (2025–2026)

1. Gemini 3.5 Flash 🚀 (New — May 2026)

Release date: May 19, 2026 | Status: Stable GA | Model ID: gemini-3.5-flash

Gemini 3.5 Flash is Google's latest and most exciting model. It delivers frontier-level agentic performance at Flash-tier pricing. Google pitches it as "a Flash model that beats its own Pro tier on coding and agents." It's 4x faster than competing frontier models and powers the new Gemini Spark personal AI agent.

Key strengths:

  • 💻 Agentic coding: Terminal-Bench 2.1: 76.2% (beats 3.1 Pro's 70.3%)
  • 📈 Tool orchestration: MCP Atlas: 83.6% (beats 3.1 Pro's 78.2%)
  • 💰 Financial analysis: Finance Agent v2: 57.9% (vs 3.1 Pro's 43.0%)
  • ⚡ Speed: 152 tok/s (1.3x faster than 3.1 Pro's 116 tok/s)
  • 💲 Cost: 25% cheaper than 3.1 Pro ($1.50/$9 vs $2/$12 per 1M tokens)

2. Gemini 3.1 Pro 🧠 (Preview — Best for Reasoning)

Release date: April 2026 | Status: Preview | Context: 2M tokens

Gemini 3.1 Pro remains Google's strongest reasoning model. While Flash beats it on agents, Pro dominates on deep reasoning tasks, abstract thought, and long-context retrieval. If you need to analyze a 1000-page document, 3.1 Pro is the choice.

Key strengths:

  • 🧠 Expert reasoning: HLE (no tools): 44.4% (beats Flash's 40.2%)
  • 🔍 Long context retrieval: MRCR v2 128K: 84.9% (beats Flash's 77.3%)
  • 🎯 Abstract reasoning: ARC-AGI-2: 77.1% (beats Flash's 72.1%)
  • 📚 GPQA Diamond: 94.3% (Flash score not published)
  • 💡 SWE-Bench Verified: 80.6%

3. Gemini 3.5 Pro ⏳ (Upcoming — July 2026)

Announced: Google I/O, May 2026 | Target: July 2026 (delayed from June)

Gemini 3.5 Pro is Google's upcoming flagship, designed to combine Flash's agentic capabilities with Pro-level reasoning. It's been spotted on LMArena and in limited Vertex AI preview. Key improvements expected: better long-horizon tasks, restored reasoning strength, and feedback from Flash's token-consumption issues.

4. Gemini 3 Pro 📜 (Previous Flagship)

Release date: November 2025 | Status: Preview (shutdown soon)

Gemini 3 Pro was Google's state-of-the-art model in late 2025, with strong multimodal understanding and complex reasoning. It achieves 100% on AIME 2025, 93.4% on Global PIQA, and 91.9% on GPQA. However, it's now overshadowed by the 3.1 Pro and 3.5 Flash models.

5. Gemini 3 Flash (Mid-Range)

Status: Stable | A solid mid-range model offering frontier-class performance at a fraction of the cost. Good for general-purpose tasks.

6. Gemini 3.1 Flash-Lite 💵 (Budget)

Status: Preview | Google's most cost-efficient model, optimized for high-volume, low-latency tasks. Best for simple classification, extraction, and lightweight applications.

7. Gemini 2.5 Pro & Flash 📅 (Legacy)

Status: Stable (available, but being phased out) | The 2.5 series introduced the 1M token context window and adaptive thinking. Still reliable for production workloads, but no longer state-of-the-art.

📊 Benchmark Comparison: Gemini 3.5 Flash vs 3.1 Pro

Benchmark 3.5 Flash 3.1 Pro Winner
Terminal-Bench 2.176.2%70.3%⚡ Flash
SWE-bench Pro55.1%54.2%⚡ Flash
MCP Atlas83.6%78.2%⚡ Flash
Finance Agent v257.9%43.0%⚡ Flash
GDPval-AA (Elo)16561314⚡ Flash
MMMU-Pro83.6%80.5%⚡ Flash
HLE (no tools)40.2%44.4%🧠 Pro
ARC-AGI-272.1%77.1%🧠 Pro
MRCR v2 (128K)77.3%84.9%🧠 Pro
Speed (tok/s)152116⚡ Flash
Output Price /1M tok$9.00$12.00💲 Flash

💰 Pricing Comparison

Model Input (per 1M tokens) Output (per 1M tokens) Context Window
Gemini 3.5 Flash$1.50$9.001M tokens
Gemini 3.1 Pro$2.00$12.002M tokens
Gemini 3 Pro$2.00$12.001M tokens
Gemini 2.5 Pro$1.25$10.001M tokens
Gemini 2.5 Flash$0.15$0.601M tokens

📝 How to Choose the Right Model

🤖 Choose 3.5 Flash for:

  • Building AI agents & tools
  • Coding & software development
  • Financial analysis automation
  • High-speed, cost-sensitive apps
  • Multimodal understanding tasks

🧠 Choose 3.1 Pro for:

  • Deep expert reasoning
  • Long-document analysis (2M tokens)
  • Scientific research
  • Complex abstract problem solving
  • Tasks where accuracy > speed

🌍 How Gemini Stacks Up Against Competitors

Google's Android Bench (June 2026) ranks the top AI models for Android coding:

  1. GPT 5.5 (OpenAI) — Score: 74
  2. GPT 5.4 (OpenAI) — Score: 72.4
  3. Gemini 3.1 Pro Preview — Score: 72.4 (tied, but much cheaper at $47.9/run)
  4. Claude Opus 4.7 (Anthropic) — Score: 68.7
  5. Claude Opus 4.6 (Anthropic) — Score: 66.6
  6. Gemini 3.5 Flash — Score: 63.7
  7. GLM 5.1 — Score: 59.7
  8. Kimi K2.6 — Score: 58.6
  9. Claude Sonnet 4.6 — Score: 58.4
  10. DeepSeek V4 Pro — Score: 55.4 (cheapest at $13.7/run)

⚠ Important Note: Android Bench Results

While Gemini 3.5 Flash ranks 6th on Android Bench, it uses significantly more tokens (355.9 avg) and costs more ($147.1/run) compared to 3.1 Pro (73.3 tokens, $47.9/run). However, Flash excels in other agentic and coding tasks where the Pro model struggles. Choose the right tool for your specific workload.

🔔 What's Next for Gemini?

  • Gemini 3.5 Pro launching July 2026 — expected to bridge the reasoning gap
  • Gemini Spark personal AI agent rolling out to Google AI Ultra subscribers
  • New audio/voice models: Gemini 3.5 Live Translate, 3.1 Flash Live, 3.1 Flash TTS
  • Image generation models: Gemini 3.1 Flash Image, Gemini 3 Pro Image
  • Continued improvements in agentic capabilities and tool use

This guide was last updated June 2026. Model availability, pricing, and benchmarks may change as Google releases updates. Always check the latest documentation at ai.google.dev for current information.

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