Head-to-Head Model Comparison

Falcon 3 180B vs Phi-4 Multimodal

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

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Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Falcon 3 180BProfile

Phi-4 MultimodalProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

TII

Falcon 3 180B

Modelo Base de Pesos Abiertos

Falcon 3 180B de TII es un modelo de IA diseñado para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, con ventana de contexto de 33K, velocidad de 50 tokens/s, índice de inteligencia de 78/100 y tarifa

Intelligence Index78 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Microsoft

Phi-4 Multimodal

IA Multimodal Nativa

Phi-4 Multimodal de Microsoft es un modelo de IA diseñado para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, con ventana de contexto de 128K, velocidad de 160 tokens/s, índice de inteligencia de 75/100 y t

Intelligence Index75 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Diferencias Clave de un Vistazo

Both models cost the same under this workload — choose on capability, not price.
Phi-4 Multimodal has a larger context window (128K vs 33K tokens).
Phi-4 Multimodal is faster at 160 tok/s vs 50 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Característica	Falcon 3 180B	Phi-4 Multimodal
Intelligence Index Composite reasoning & knowledge score (0-100)	78	75
Provider	TII	Microsoft
Input Price Cost per million input tokens	$0.00 / 1M	$0.00 / 1M
Output Price Cost per million output tokens	$0.00 / 1M	$0.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.00 / 1M	$0.00 / 1M
Context Window Maximum input + output tokens	32.8K tokens~49 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	4K	8K
Throughput Speed Tokens generated per second	50 tok/s	160 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
GPQA Diamond Graduate-level reasoning	54%	N/A

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

Tied

Identical monthly runtime cost

Velocidad

Phi-4 Multimodal

+220% faster generation

Contexto

Phi-4 Multimodal

128K tokens window

Puntuaciones de Benchmarks Verificadas

Official evaluation metrics verified by independent third-party research labs.

Falcon 3 180BPhi-4 Multimodal

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

54%vsN/A

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

76%vs71%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1280ptsvs1250pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

50 tok/s vs160 tok/s

Latencia y Tiempo de Respuesta

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Falcon 3 180B0.71s

Phi-4 Multimodal0.23s

Est. End-to-End Response (500 tokens)TTFT + generation time

Falcon 3 180B10.71s

Phi-4 Multimodal3.35s

Simulador Interactivo de Costos de Tokens

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Falcon 3 180B Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Phi-4 Multimodal Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

These models cost the same under this workload — no savings either way.Break-even

Falcon 3 180B · Strengths & Key Advantages

Ventana de contexto de 33K con hasta 4K tokens de salida máxima (GPQA Diamond 54% · MMLU-Pro 76%)
Rendimiento ágil de 50 tokens/segundo con latencia inicial (TTFT) de solo 710 ms
Pesos abiertos (180B) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama

Considerations & Trade-offs

Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Phi-4 Multimodal · Strengths & Key Advantages

Ventana de contexto de 128K con hasta 8K tokens de salida máxima (MMLU-Pro 71% · Arena Elo 1250)
Rendimiento ágil de 160 tokens/segundo con latencia inicial (TTFT) de solo 230 ms
Pesos abiertos (5.6B) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama

Considerations & Trade-offs

Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Falcon 3 180B	Phi-4 Multimodal
Cost per Task Estimated USD to finish one task	$0.00	$0.00
Output Tokens / Task Tokens generated per task	15K	10K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Falcon 3 180B	Phi-4 Multimodal
Official API Model ID (SDK)	falcon-3-180b	phi-4-multimodal
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2024-12	2025-02
Knowledge Cutoff	September 2024	November 2024
Architecture	High-Scale Dense Open Transformer	Compact Tri-Modal Foundation Transformer
Parameters	180B	5.6B
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)	Free across full context window (only KV-cache VRAM scales)	Free across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Automatic prefix KV-caching in vLLM / SGLang (0 cost)
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 112 GB VRAM (4-bit Quantized) · 387 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 3 GB VRAM (4-bit Quantized) · 12 GB VRAM (Native BF16)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text	text, vision, audio
Output Modalities	text	text

Falcon 3 180B vs Phi-4 Multimodal: Respuestas Rápidas (FAQ)

Which is more intelligent, Falcon 3 180B or Phi-4 Multimodal?

Falcon 3 180B is more intelligent. It scores 78 compared with 75 on the composite Intelligence Index.

Which model is faster?

Phi-4 Multimodal is faster, generating 160 tokens per second compared with 50 tokens per second.

Which model has lower latency?

Phi-4 Multimodal has lower latency, with a time to first token of 0.23s compared with 0.71s.

Which model has a larger context window?

Phi-4 Multimodal has a larger context window, supporting 128K tokens compared with 32.8K tokens.

Veredicto

Tanto Falcon 3 180B (Ideal para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, sistemas RAG empresariales y automatización mediante API.) como Phi-4 Multimodal (Ideal para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Falcon 3 180B lidera en inteligencia general y programación, Phi-4 Multimodal ofrece mayor velocidad de generación de tokens y Falcon 3 180B resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Falcon 3 180B o Phi-4 Multimodal?+

En las pruebas de inteligencia compuesta y resolución de código, Falcon 3 180B obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Falcon 3 180B frente a Phi-4 Multimodal?+

Falcon 3 180B cuesta $0.00 / $0.00 por millón de tokens de entrada/salida, mientras que Phi-4 Multimodal cuesta $0.00 / $0.00. En costo combinado, Falcon 3 180B es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Falcon 3 180B cuenta con 32.8K tokens de contexto frente a 128K tokens de Phi-4 Multimodal. En velocidad de inferencia, Phi-4 Multimodal ofrece un rendimiento superior.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Falcon 3 180B vs Phi-4 Multimodal

Cambia y Compara Cualquier Modelo

Falcon 3 180B

Phi-4 Multimodal

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Falcon 3 180B · Strengths & Key Advantages

Considerations & Trade-offs

Phi-4 Multimodal · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Falcon 3 180B vs Phi-4 Multimodal: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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