Gemini 3.1 Pro: 77.1% ARC-AGI-2 Score, Benchmark Leader, Built for Enterprise Agents
February 19, 2026 · 8 min read · Happycapy Guide
The Reasoning Breakthrough
Gemini 3.1 Pro's defining achievement is its ARC-AGI-2 score of 77.1% — a benchmark designed specifically to test abstract reasoning that resists memorization. Gemini 3 Pro scored 31.1% on the same test just three months earlier. That 148% improvement in a single model generation is the fastest improvement ever recorded on a major reasoning benchmark.
ARC-AGI-2 tests a model's ability to solve logic patterns it has never seen before — no training shortcuts, no memorization tricks. A high score on ARC-AGI-2 is a reliable signal that a model is doing genuine reasoning rather than interpolating from training examples. Gemini 3.1 Pro's 77.1% outperforms Claude Opus 4.6 (68.8%) and GPT-5.4 (~62%) on this dimension.
CEO Demis Hassabis described the result as a meaningful step toward more capable general intelligence and highlighted the model's enhanced utility for enterprise agents and scientific research — two domains where genuine reasoning rather than pattern recall is the critical capability.
Full Benchmark Results
| Benchmark | Gemini 3.1 Pro | Claude Opus 4.6 | GPT-5.4 | Winner |
|---|---|---|---|---|
| ARC-AGI-2 | 77.1% | 68.8% | ~62% | Gemini 3.1 Pro |
| GPQA Diamond (expert science) | 94.3% | 91.3% | ~89% | Gemini 3.1 Pro |
| LiveCodeBench Pro (coding) | 2887 Elo | ~2850 Elo | ~2870 Elo | Gemini 3.1 Pro |
| MCP Atlas (agent tasks) | 69.2% | 59.5% | ~63% | Gemini 3.1 Pro |
| SWE-Bench Verified (real bugs) | 80.6% | 80.8% | ~78% | Claude Opus 4.6 |
| OSWorld (computer use) | ~60% | ~65% | 72.1% | GPT-5.4 |
The pattern is clear: Gemini 3.1 Pro leads on abstract reasoning, scientific knowledge, and agentic task benchmarks. Claude Opus 4.6 leads on software engineering tasks (real GitHub bug fixing). GPT-5.4 leads on computer use and operating system automation. No single model dominates every domain — which is the strongest argument for multi-model access.
Happycapy gives you Gemini 3.1 Pro, Claude Opus 4.6, GPT-5.4, and 150+ models in one workspace. Switch per task. No API key management. Pro starts at $17/month.
Try Happycapy Free →Key Capabilities
- Abstract reasoning: 77.1% ARC-AGI-2 — best score ever at launch for any model on this benchmark
- Expert science: 94.3% GPQA Diamond — outperforms both Claude and GPT-5.4 on PhD-level science questions
- 1M token context: Full 1 million token window for document analysis, codebase-level context, and long research workflows
- Enterprise agents: 69.2% on MCP Atlas — strongest agent task performance of the three flagship models
- Multimodal: Native text, image, video, and audio processing in a single model
- Google ecosystem: Native integration with Google Workspace, Search, and Cloud platform
When to Use Gemini 3.1 Pro vs Claude vs GPT-5.4
| Task | Best Model | Why |
|---|---|---|
| Multi-step abstract reasoning, logic puzzles | Gemini 3.1 Pro | Highest ARC-AGI-2 score; genuine reasoning advantage |
| PhD-level science questions, research synthesis | Gemini 3.1 Pro | 94.3% GPQA Diamond — highest of any model |
| Real GitHub bug fixing, SWE tasks | Claude Opus 4.6 | Leads SWE-Bench Verified (80.8%) |
| Desktop automation, computer use | GPT-5.4 | Best OSWorld score (72.1%) |
| Long-document analysis (500K+ tokens) | Gemini 3.1 Pro | 1M context, strong retrieval performance |
| Enterprise agent workflows | Gemini 3.1 Pro | MCP Atlas leader; Google Cloud integration |
| Creative writing, nuanced prose | Claude Opus 4.6 | Strong preference in human evaluation studies |
Pricing: Same as Gemini 3 Pro
Google launched Gemini 3.1 Pro at the same price as Gemini 3 Pro, making it a direct upgrade with no cost increase. For existing Gemini API users, switching to 3.1 Pro delivers the 148% reasoning improvement at zero additional cost.
For users accessing Gemini through Happycapy or other multi-model platforms, Gemini 3.1 Pro is simply the better option for reasoning-heavy tasks — there is no reason to use Gemini 3 Pro for any new workloads.
Gemini 3.1 Pro, Claude Opus 4.6, GPT-5.4, and 150+ models — all on Happycapy Pro at $17/month. No separate API accounts. Switch models mid-conversation based on the task.
Start Free on Happycapy →Frequently Asked Questions
Gemini 3.1 Pro is Google DeepMind's flagship AI model, launched on February 19, 2026. It scored 77.1% on ARC-AGI-2 — more than double its predecessor's 31.1% — and leads 13 of 16 major AI benchmarks. It features a 1M token context window and is priced identically to Gemini 3 Pro.
Gemini 3.1 Pro leads on ARC-AGI-2 (77.1% vs Claude's 68.8%), GPQA Diamond science questions (94.3% vs Claude's 91.3%), and enterprise agent tasks (MCP Atlas 69.2%). Claude Opus 4.6 leads on software engineering (SWE-Bench 80.8%) and creative writing. GPT-5.4 leads on computer use automation (OSWorld 72.1%).
Gemini 3.1 Pro excels at abstract reasoning, multi-step logic, scientific research synthesis, long-document analysis (1M context), and enterprise agent workflows. It is the strongest model for tasks requiring genuine reasoning over novel patterns rather than pattern matching from training data.
Yes. Gemini 3.1 Pro is available on Happycapy alongside Claude Opus 4.6, GPT-5.4, Mistral, and 150+ other models. Happycapy Pro starts at $17/month and gives you access to all models in one workspace without separate API subscriptions.