Head-to-Head Model Comparison

Falcon 3 180B vs Command R7B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien
Teilen
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Falcon 3 180B vs Command R7B: Benchmarks, Pricing & Speed Comparison

Falcon 3 180B von TII und Command R7B von Cohere gehören zu den führenden KI-Modellen. Falcon 3 180B bietet ein Kontextfenster von 32.8K Tokens bei API-Preisen von $0.00/$0.00 pro 1M Tokens, während Command R7B 128K Tokens Kontext zu $0.07/$0.20 pro 1M Tokens bereitstellt. Hier finden Sie den vollständigen Benchmark-, Latenz- und Kostenvergleich.

Direktvergleich (VS)

Beliebige Modelle wechseln & vergleichen

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

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
TII

Falcon 3 180B

Open-Weights-Basismodell

Falcon 3 180B von TII ist ein KI-Modell für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität mit 33K Kontextfenster, 50 Token/s Durchsatz, einem Intelligenz-Index von 78/100 und kostenlosem Open-Weights-Zugang.

Intelligence Index78 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Cohere

Command R7B

Open-Weights-Basismodell

Command R7B von Cohere ist ein KI-Modell für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität mit 128K Kontextfenster, 140 Token/s Durchsatz, einem Intelligenz-Index von 38/100 und $0.07/$0.2 pro 1M Token.

Intelligence Index38 / 100
Input Token:

$0.07 / 1M

Output Token:

$0.20 / 1M

Context Window:

128K tokens

SWE-bench Verified:

27%

Wichtigste Unterschiede auf einen Blick

  • Falcon 3 180B is 1.0x cheaper for API usage (input + output tokens combined).
  • Command R7B has a larger context window (128K vs 33K tokens).
  • Command R7B is faster at 140 tok/s vs 50 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureFalcon 3 180BCommand R7B
Intelligence Index
Composite reasoning & knowledge score (0-100)
7838
Provider
TIICohere
Input Price
Cost per million input tokens
$0.00 / 1M$0.07 / 1M
Output Price
Cost per million output tokens
$0.00 / 1M$0.20 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.00 / 1M$0.05 / 1M
Context Window
Maximum input + output tokens
32.8K tokens~49 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
4K4K
Throughput Speed
Tokens generated per second
50 tok/s140 tok/s
SWE-bench Verified
Real-world software engineering
N/A27%
GPQA Diamond
Graduate-level reasoning
54%42.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.00 / 1M$0.02 / 1M

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Falcon 3 180B
1.0x cheaper monthly runtime
Speed
Command R7B
+180% faster generation
Context
Command R7B
128K tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Falcon 3 180BCommand R7B
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

N/Avs27%
GPQA Diamond (Doctorate-Level Science & Math)

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

54%vs42.5%
MMLU-Pro (Multi-task Language Understanding)

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

76%vs66%
LMSYS Chatbot Arena Elo

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

1280ptsvs1215pts
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

N/Avs68%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

50 tok/s vs140 tok/s

Latenz & Antwortzeit

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
Command R7B0.29s
Est. End-to-End Response (500 tokens)TTFT + generation time
Falcon 3 180B10.71s
Command R7B3.86s

Interaktiver Token-Kosten-Simulator

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Falcon 3 180B Monthly API Bill
$0.00 / month
$0/1M in · $0/1M out
Command R7B Monthly API Bill
$0.32 / month
$0.07/1M in · $0.2/1M out
Falcon 3 180B saves approximately $0.32 / month (100%) under this workload.1.0x Savings

Falcon 3 180B · Strengths & Key Advantages

  • 33K Kontextfenster und bis zu 4K maximale Output-Token (GPQA Diamond 54% · MMLU-Pro 76%)
  • Hohe Generierungsgeschwindigkeit von 50 Token/Sekunde bei nur 710 ms Erstlatenz (TTFT)
  • Offene Modellgewichte (180B) für lokales Self-Hosting und Fine-Tuning über vLLM, SGLang oder Ollama
Considerations & Trade-offs
  • Erfordert dedizierte GPU-Hardware mit ausreichend VRAM für den lokalen Betrieb in voller Präzision
  • Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Command R7B · Strengths & Key Advantages

  • 128K Kontextfenster und bis zu 4K maximale Output-Token (SWE-bench Verified 27% · GPQA Diamond 42.5%)
  • Hohe Generierungsgeschwindigkeit von 140 Token/Sekunde bei nur 290 ms Erstlatenz (TTFT)
  • Offene Modellgewichte (7B) für lokales Self-Hosting und Fine-Tuning über vLLM, SGLang oder Ollama
Considerations & Trade-offs
  • Erfordert dedizierte GPU-Hardware mit ausreichend VRAM für den lokalen Betrieb in voller Präzision
  • Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Token Use & Task Economics

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

MetricFalcon 3 180BCommand R7B
Cost per Task
Estimated USD to finish one task
$0.00$0.05
Output Tokens / Task
Tokens generated per task
15K20K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

FeatureFalcon 3 180BCommand R7B
Official API Model ID (SDK)falcon-3-180bcommand-r7b
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2024-122024-12
Knowledge CutoffSeptember 2024October 2024
ArchitectureHigh-Scale Dense Open TransformerEfficient Compact RAG Transformer
Parameters180B7B
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed CloudUnlimited (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)Flat rate ($0.07/1M in) across full 128K window
Prompt Cache Policy & TTLAutomatic prefix KV-caching in vLLM / SGLang (0 cost)Cached input at $0.02/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportFull 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 BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMBF16 / 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) · 4 GB VRAM (4-bit Quantized) · 15 GB VRAM (Native BF16)
Safety & Frontier ClassificationOpen-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 Control100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiestexttext
Output Modalitiestexttext

Falcon 3 180B vs Command R7B: Schnelle Antworten (FAQ)

Which is more intelligent, Falcon 3 180B or Command R7B?

Falcon 3 180B is more intelligent. It scores 78 compared with 38 on the composite Intelligence Index.

Which model is faster?

Command R7B is faster, generating 140 tokens per second compared with 50 tokens per second.

Which model is cheaper to run?

Falcon 3 180B is cheaper at $0.00 per 1M tokens blended, compared with $0.05 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command R7B has lower latency, with a time to first token of 0.29s compared with 0.71s.

Which model has a larger context window?

Command R7B has a larger context window, supporting 128K tokens compared with 32.8K tokens.

Fazit

Sowohl Falcon 3 180B (Optimal für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Command R7B (Optimal für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Falcon 3 180B führt bei komplexem Reasoning und Coding, Command R7B liefert den höheren Token-Durchsatz und Falcon 3 180B ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Falcon 3 180B oder Command R7B?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Falcon 3 180B vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Falcon 3 180B und Command R7B?+

Falcon 3 180B kostet $0.00 / $0.00 pro 1M Input-/Output-Tokens, Command R7B liegt bei $0.07 / $0.20. Beim gewichteten Gesamtpreis ist Falcon 3 180B günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Falcon 3 180B bietet 32.8K Tokens Kontext gegenüber 128K Tokens bei Command R7B. Bei der Generierungsgeschwindigkeit liegt Command R7B vorn.

AI Terminology & Guide
Explore Glossary →

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

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Offizielle Quellen: Offizielle API-Dokumentation von TII und Cohere, Systemkarten und unabhängige Benchmark-Auswertungen (2026).