Head-to-Head Model Comparison

Falcon 3 180B vs Phi-4 Multimodal

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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

Model Dasar Bobot Terbuka

Falcon 3 180B dari TII adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 33K, kecepatan 50 token/detik, indeks kecerdasan 78/100, serta akses gratis ope

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

AI Multimodal Asli

Phi-4 Multimodal dari Microsoft adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 128K, kecepatan 160 token/detik, indeks kecerdasan 75/100, serta ak

Intelligence Index75 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

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 →

Feature	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

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Tied

Identical monthly runtime cost

Speed

Phi-4 Multimodal

+220% faster generation

Context

Phi-4 Multimodal

128K tokens window

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

Jendela konteks 33K dengan kapasitas output maksimum hingga 4K token (GPQA Diamond 54% · MMLU-Pro 76%)
Kecepatan generasi tinggi 50 token/detik dengan latensi token pertama (TTFT) hanya 710 ms
Bobot terbuka (180B) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Phi-4 Multimodal · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 71% · Arena Elo 1250)
Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 230 ms
Bobot terbuka (5.6B) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

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

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	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: Jawaban Cepat (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.

Kesimpulan

Baik Falcon 3 180B (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Phi-4 Multimodal (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Falcon 3 180B unggul dalam penalaran dan pemrograman, Phi-4 Multimodal memberikan kecepatan generasi token lebih tinggi, dan Falcon 3 180B lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Falcon 3 180B atau Phi-4 Multimodal?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Falcon 3 180B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Falcon 3 180B vs Phi-4 Multimodal?+

Falcon 3 180B mengenakan biaya $0.00 / $0.00 per 1M token input/output, sedangkan Phi-4 Multimodal sebesar $0.00 / $0.00. Secara keseluruhan, Falcon 3 180B lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Falcon 3 180B mendukung konteks 32.8K token dibandingkan 128K token pada Phi-4 Multimodal, sementara Phi-4 Multimodal unggul dalam kecepatan output token per detik.

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

Ganti & Bandingkan Model Apa Saja

Falcon 3 180B

Phi-4 Multimodal

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Falcon 3 180B · Strengths & Key Advantages

Considerations & Trade-offs

Phi-4 Multimodal · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Falcon 3 180B vs Phi-4 Multimodal: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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