Track Fiercefalcon, Google's latest AI model currently being tested on LM Arena. Get real-time benchmarks, compare Fiercefalcon vs GPT-5 and Claude, access API guides, and exclusive Gemini 3 analysis.
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Live benchmark scores, ELO ratings, and performance metrics updated hourly from LM Arena and official sources.
Expert breakdowns of Fiercefalcon capabilities, architecture speculation, and comprehensive comparison guides.
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Fiercefalcon is a codename for Google's new AI model currently being tested on LM Arena. First spotted on December 11, 2025, Fiercefalcon is speculated to be either Gemini 3 Flash GA or Gemini 3 Pro GA (General Availability version).
Alongside its sibling model Ghostfalcon, Fiercefalcon represents Google's latest advancement in large language model technology. This follows Google's established pattern of testing models anonymously on LM Arena before official release.
Real-time rankings showing Fiercefalcon's performance against top AI models
| Rank | Model | Company | ELO Score | Change | Votes |
|---|---|---|---|---|---|
| #1 | Fiercefalcon | Google DeepMind | 1501 | ↑ New | Testing |
| #2 | Gemini 3 Pro | Google DeepMind | 1493 | ↓ 1 | 14,887 |
| #3 | GPT-5.1 High | OpenAI | 1485 | ↓ 1 | 12,543 |
| #4 | Claude 4 Opus | Anthropic | 1472 | ↑ 1 | 11,234 |
| #5 | Ghostfalcon | Google DeepMind | 1468 | ↑ New | Testing |
| #6 | Grok-4 | xAI | 1455 | ↓ 2 | 8,765 |
| #7 | DeepSeek V3.2 | DeepSeek | 1448 | ↑ 3 | 7,432 |
| #8 | Gemini 2.5 Pro | Google DeepMind | 1442 | ↓ 2 | 15,876 |
Side-by-side analysis of Fiercefalcon against leading AI models
Google DeepMind
OpenAI
Anthropic
Track the history of Fiercefalcon from first sighting to expected release
TestingCatalog reports two new Google models "Fiercefalcon" and "Ghostfalcon" being tested on LM Arena.
Fiercefalcon achieves top position on LM Arena Text Arena leaderboard with 1501 ELO score.
Based on Google's historical patterns, official Fiercefalcon announcement expected before year end.
Public API access expected through Google AI Studio and Gemini API platform.
Historical tracking of Google's anonymous model codenames on LM Arena
| Date | Codename | Confirmed Model | Status |
|---|---|---|---|
| Dec 2025 | Fiercefalcon | Gemini 3 Flash/Pro GA (Speculated) | Testing |
| Dec 2025 | Ghostfalcon | Gemini 3 with Search (Speculated) | Testing |
| Nov 2025 | Rift Runner | Gemini 3.0 Pro RC | Confirmed |
| Oct 2025 | Lithiumflow | Gemini 3.0 Variant | Confirmed |
| Oct 2025 | Orionmist | Gemini 3.0 Variant | Confirmed |
| Sep 2025 | Oceanstone | Gemini 3.0 Flash | Confirmed |
Comprehensive benchmark analysis based on Gemini 3 Pro specifications
Fiercefalcon shows strong performance across all capability dimensions
Recommended applications based on Fiercefalcon's benchmark performance
With 76.2% on SWE-bench, Fiercefalcon excels at complex coding tasks, debugging, and software engineering workflows.
SOTA performance on MathArena (23.4%) makes Fiercefalcon ideal for complex mathematical problem solving and analysis.
Leading vision capabilities with #1 ranking on LM Arena Vision make Fiercefalcon perfect for image understanding and analysis.
Top LM Arena Text scores indicate excellent creative writing, content generation, and storytelling capabilities.
Current availability and expected API launch information
# Example: Using Fiercefalcon API (Expected)
# Note: This is speculative based on Gemini API patterns
import google.generativeai as genai
# Configure API key
genai.configure(api_key="YOUR_API_KEY")
# Initialize Fiercefalcon model
model = genai.GenerativeModel('fiercefalcon')
# Generate response
response = model.generate_content(
"Explain quantum computing in simple terms"
)
print(response.text)
# With multimodal input (image + text)
image = load_image("diagram.png")
response = model.generate_content(
["Analyze this diagram:", image]
)Breaking news and analysis from the AI community
Two new Google AI models have been spotted in anonymous testing, potentially representing Gemini 3 GA versions.
Read More →The mysterious new Google model has surpassed GPT-5.1 and Claude 4 to claim the top position with 1501 ELO.
Read More →Expert analysis of how Fiercefalcon's emergence could reshape the competitive landscape for large language models.
Read More →Everything you need to know about Google's new AI model
Fiercefalcon is a codename for Google's new AI model currently being tested on LM Arena. It is speculated to be either Gemini 3 Flash or Gemini 3 Pro GA (General Availability) version, alongside its sibling model Ghostfalcon. The model was first spotted on December 11, 2025, and has quickly risen to #1 on the LM Arena leaderboard.
Based on Google's historical release patterns and the current testing phase on LM Arena, Fiercefalcon is expected to be officially announced in late December 2025 or early January 2026. Public API access through Google AI Studio is anticipated in Q1 2026. Subscribe to our newsletter to be notified the moment Fiercefalcon becomes available.
Early LM Arena testing shows Fiercefalcon outperforming both GPT-5.1 High and Claude 4 Opus. With an ELO score of 1501, Fiercefalcon leads GPT-5.1 (1485) by 16 points and Claude 4 Opus (1472) by 29 points. The model shows particular strength in text generation, vision tasks, and mathematical reasoning.
Both Fiercefalcon and Ghostfalcon are Google AI model codenames being tested simultaneously on LM Arena. Based on Google's previous testing patterns (like lithiumflow/orionmist), Fiercefalcon is likely a pure generation/reasoning model while Ghostfalcon may include search grounding capabilities, similar to how Gemini models offer both standard and search-enhanced versions.
Currently, Fiercefalcon is only accessible through anonymous testing on LM Arena (lmarena.ai). You may encounter it randomly when comparing AI models on the platform. Once officially released, Fiercefalcon will likely be available through Google AI Studio and the Gemini API. Sign up for our newsletter to be notified when API access becomes available.
Based on Gemini 3 Pro specifications (which Fiercefalcon is speculated to be a GA version of), expected benchmarks include: Humanity's Last Exam 37.5% (record-breaking), GPQA Diamond 91.9%, MathArena Apex 23.4% (state-of-the-art), SWE-bench Verified 76.2%, and Terminal-Bench 2.0 54.2%. These scores represent significant improvements over previous generation models.
Connect with AI enthusiasts and researchers tracking Fiercefalcon
Essential tools for working with and tracking Fiercefalcon
The official platform where Fiercefalcon is being tested. Compare AI models anonymously and vote for the best responses.
Visit LM ArenaGoogle's platform for accessing Gemini models. Expected to be where Fiercefalcon API will launch.
Open AI StudioTrack Fiercefalcon performance across multiple benchmarks with our comprehensive tracking dashboard.
View BenchmarksKey terms for understanding Fiercefalcon and AI benchmarks
Guides and documentation to help you prepare for Fiercefalcon
Official docs for Gemini models
Best practices for Google models
Download full comparison data
Estimate monthly spend and savings when choosing Fiercefalcon vs GPT-4.5, Claude 4, Gemini 2.5, or Ghostfalcon.
Pricing modeled from strategy doc: Fiercefalcon input $2/1M, output $12/1M; GPT-4.5 $10/$30; Claude 4 $8/$24; Gemini 2.5 $1.25/$5; Ghostfalcon $3/$12. Actual pricing may change at launch.
Projected pricing to maximize Fiercefalcon AI cost advantage.
| Model | Input Price (per 1M tokens) | Output Price (per 1M tokens) | Speed Profile | Notes |
|---|---|---|---|---|
| Fiercefalcon | $2 | $12 | ⚡ Flash tier | 20–30% token efficiency gain; likely 2M context |
| Ghostfalcon | $3 | $12 | ⚡ + Grounding | Speculated Gemini 3 Pro GA with search grounding |
| Gemini 2.5 Flash | $1.25 | $5 | ⚡ | Best current Google cost baseline |
| GPT-4.5 High | $10 | $30 | ⚡+ | Strong coding; highest cost |
| Claude 4 Opus | $8 | $24 | ⚡+ | Excellent coding, reasoning depth |
Estimates derived from December 2025 strategy inputs; adjust when Google publishes official Fiercefalcon pricing.
Core, long-tail, and adjacent keywords to rank for Fiercefalcon AI model queries and Gemini 3 Flash benchmark searches.
Headings intentionally include high-density Fiercefalcon and Gemini keywords to satisfy Google SEO and AI citation frequency.
Publishing calendar derived from the strategy playbook.
Positioning Fiercefalcon against GPT, Claude, Grok, and open-source contenders.
| Platform | Strength | Weakness | Fiercefalcon Advantage |
|---|---|---|---|
| LM Arena | 5M+ votes, trusted rankings | Can be gamed, lacks task realism | Pair LM Arena results with applied tasks & ROI |
| Hugging Face | Large developer ecosystem | Complex for new users | Single-model clarity with guided onboarding |
| GPT-4.5 / o3 | Strong coding & reasoning | High cost, closed context on data | Speed + cost advantage; multimodal edge |
| Claude 4 | Best-in-class coding quality | Premium pricing, smaller ecosystem | Comparable coding with lower token spend |
| Grok-4 | Real-time web updates | Limited enterprise-grade proofs | Pair with trustworthy benchmarking + roadmap |
| Llama 3 / Open-Source | Self-hosted, flexible | Infra overhead, lower multimodal scores | Managed service, high vision scores |
Optimize for citations in AI answers, not just blue-link rankings.
Key metrics pulled from strategy doc to validate Fiercefalcon strength.
GPQA Diamond 91.9%, MathArena Apex 23.4% (SOTA), Humanity's Last Exam 37.5%.
SWE-bench Verified 76.2%, Terminal-Bench 2.0 at 54.2% indicating strong agent tooling.
LM Arena Vision #1 ranking, superior image understanding; expected audio/video support.
20–30% token efficiency gain; Flash profile tuned for speed-sensitive streaming outputs.
Monitoring for model regressions; advise dual-model fallback with Gemini 2.5 or Claude 4.
Guidance based on coding, reasoning, multimodal, and cost priorities.
| Use Case | Fiercefalcon | Ghostfalcon | Claude 4 | GPT-4.5 |
|---|---|---|---|---|
| Prototype fast | ★★★★★ | ★★★★☆ | ★★★★☆ | ★★★★★ |
| Production coding | ★★★★☆ | ★★★★★ | ★★★★★ | ★★★★☆ |
| Creative writing | ★★★★☆ | ★★★☆☆ | ★★★★★ | ★★★★★ |
| Data analysis | ★★★★★ | ★★★★☆ | ★★★☆☆ | ★★★★☆ |
| Image understanding | ★★★★★ | ★★★★★ | ★★☆☆☆ | ★★★★☆ |
| Speed-critical | ★★★★★ | ★★★☆☆ | ★★★☆☆ | ★★★☆☆ |
| Cost optimization | ★★★★★ | ★★★☆☆ | ★★☆☆☆ | ★★☆☆☆ |
Business models aligned with the strategy report.
Advanced benchmarks, CSV exports, and API pings. Target: $9–$29/month.
Model providers showcase features; transparent labeling for trust.
Custom ROI analysis & migration guidance starting at $5,000 per engagement.
Referral to API providers and cloud credits tied to Fiercefalcon deployments.
Hourly advisory for model selection, prompt engineering, and scaling.
Checklists mapped to the strategy doc's "Today", "Week 1-2", and "Week 3-4" goals.
Key references used to build the Fiercefalcon strategy.
FierceFalcon.org is the definitive independent tracker for Google's Fiercefalcon AI model. We provide real-time benchmarks, comprehensive analysis, and breaking news about this mysterious new addition to the AI model landscape.
Our mission is to help developers, researchers, and AI enthusiasts stay informed about Fiercefalcon's development and prepare for its public release. We aggregate data from LM Arena, official Google sources, and the broader AI community.