Head-to-Head Model Comparison

Command A Plus vs Nemotron 3 Ultra 550B A55B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

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

Command A PlusProfile

Nemotron 3 Ultra 550B A55BProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Command A Plus

Modello Base a Pesi Aperti

Command A Plus di Cohere è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 128K, velocità di 68 token/s, indice di intelligenza di 58/100 e

Intelligence Index58 / 100

Input Token:

$3.00 / 1M

Output Token:

$12.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

60.5%

NVIDIA

Nemotron 3 Ultra 550B A55B

Modello Base a Pesi Aperti

Nemotron 3 Ultra 550B A55B di NVIDIA è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 1M, velocità di 65 token/s, indice di intelligenza d

Intelligence Index60 / 100

Input Token:

$1.00 / 1M

Output Token:

$3.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

64.5%

Differenze Chiave a Colpo d’Occhio

Nemotron 3 Ultra 550B A55B is 3.6x cheaper for API usage (input + output tokens combined).
Nemotron 3 Ultra 550B A55B has a larger context window (1M vs 128K tokens).
Command A Plus is faster at 68 tok/s vs 65 tok/s.
Nemotron 3 Ultra 550B A55B leads on SWE-bench coding (64.5% vs 60.5%).

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

Feature	Command A Plus	Nemotron 3 Ultra 550B A55B
Intelligence Index Composite reasoning & knowledge score (0-100)	58	60
Provider	Cohere	NVIDIA
Input Price Cost per million input tokens	$3.00 / 1M	$1.00 / 1M
Output Price Cost per million output tokens	$12.00 / 1M	$3.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.33 / 1M	$0.68 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	33K	66K
Throughput Speed Tokens generated per second	68 tok/s	65 tok/s
SWE-bench Verified Real-world software engineering	60.5%	64.5%
GPQA Diamond Graduate-level reasoning	74%	76%
Cached Input Price Prompt caching discount per 1M tokens	$0.75 / 1M	$0.25 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Nemotron 3 Ultra 550B A55B

+4.0% SWE-bench lead

Cost

Nemotron 3 Ultra 550B A55B

3.6x cheaper monthly runtime

Speed

Command A Plus

+5% faster generation

Context

Nemotron 3 Ultra 550B A55B

1M tokens window

Punteggi Benchmark Verificati

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

Command A PlusNemotron 3 Ultra 550B A55B

SWE-bench Verified (Autonomous Coding)

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

60.5%vs64.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

74%vs76%

MMLU-Pro (Multi-task Language Understanding)

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

86.8%vs87.5%

LMSYS Chatbot Arena Elo

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

1410ptsvs1425pts

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

50%vs53%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

82.5%vs86%

Long-Context Reasoning

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

88%vs89%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

68 tok/s vs65 tok/s

Latenza e Tempo di Risposta

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

Command A Plus0.56s

Nemotron 3 Ultra 550B A55B0.62s

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

Command A Plus7.91s

Nemotron 3 Ultra 550B A55B8.31s

Simulatore Interattivo dei Costi Token

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)

Command A Plus Monthly API Bill

$16.43 / month

$3/1M in · $12/1M out

Nemotron 3 Ultra 550B A55B Monthly API Bill

$4.58 / month

$1/1M in · $3/1M out

Nemotron 3 Ultra 550B A55B saves approximately $11.85 / month (72%) under this workload.3.6x Savings

Command A Plus · Strengths & Key Advantages

Finestra di contesto da 128K con capacità massima di output fino a 33K token (SWE-bench Verified 60.5% · GPQA Diamond 74%)
Throughput elevato di 68 token/secondo con latenza al primo token (TTFT) di soli 560 ms
Pesi aperti (Confidential (~180B+ MoE)) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama

Considerations & Trade-offs

Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Nemotron 3 Ultra 550B A55B · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 66K token (SWE-bench Verified 64.5% · GPQA Diamond 76%)
Throughput elevato di 65 token/secondo con latenza al primo token (TTFT) di soli 620 ms
Pesi aperti (550B (55B MoE)) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama

Considerations & Trade-offs

Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

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

Metric	Command A Plus	Nemotron 3 Ultra 550B A55B
Cost per Task Estimated USD to finish one task	$0.85	$0.85
Output Tokens / Task Tokens generated per task	45K	48K
Reasoning Tokens / Task Thinking tokens burned per task	22K	24K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Command A Plus	Nemotron 3 Ultra 550B A55B
Official API Model ID (SDK)	command-a-plus	nemotron-3-ultra-550b-a55b
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-05	2026-06
Knowledge Cutoff	March 2026	February 2026
Architecture	Flagship Multimodal Agentic MoE	Colossal Sparse MoE (550B Total / 55B Active)
Parameters	Confidential (~180B+ MoE)	550B (55B active MoE)
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)	Flat rate ($3/1M in) across full 128K window	Flat rate ($1/1M in) across full 1000K window
Prompt Cache Policy & TTL	Cached input at $0.75/1M tokens	Cached input at $0.25/1M tokens
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) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
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) · 341 GB VRAM (4-bit Quantized) · 1183 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, vision	text
Output Modalities	text	text

Command A Plus vs Nemotron 3 Ultra 550B A55B: Risposte Rapide (FAQ)

Which is more intelligent, Command A Plus or Nemotron 3 Ultra 550B A55B?

Nemotron 3 Ultra 550B A55B is more intelligent. It scores 60 compared with 58 on the composite Intelligence Index.

Which model is faster?

Command A Plus is faster, generating 68 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Nemotron 3 Ultra 550B A55B is cheaper at $0.68 per 1M tokens blended, compared with $2.33 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command A Plus has lower latency, with a time to first token of 0.56s compared with 0.62s.

Which model has a larger context window?

Nemotron 3 Ultra 550B A55B has a larger context window, supporting 1M tokens compared with 128K tokens.

Verdetto

Sia Command A Plus (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) sia Nemotron 3 Ultra 550B A55B (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Nemotron 3 Ultra 550B A55B guida nei benchmark di ragionamento e programmazione, Command A Plus garantisce una generazione più rapida e Nemotron 3 Ultra 550B A55B offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Command A Plus o Nemotron 3 Ultra 550B A55B?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Nemotron 3 Ultra 550B A55B. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Command A Plus e Nemotron 3 Ultra 550B A55B?+

Command A Plus costa $3.00 / $12.00 per milione di token di input/output, mentre Nemotron 3 Ultra 550B A55B costa $1.00 / $3.00. Nel costo combinato, Nemotron 3 Ultra 550B A55B risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Command A Plus supporta 128K token di contesto contro 1M token di Nemotron 3 Ultra 550B A55B, mentre Command A Plus offre una velocità di generazione superiore.

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)

Command A Plus vs Nemotron 3 Ultra 550B A55B

Cambia e Confronta Qualsiasi Modello

Command A Plus

Nemotron 3 Ultra 550B A55B

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Command A Plus · Strengths & Key Advantages

Considerations & Trade-offs

Nemotron 3 Ultra 550B A55B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Command A Plus vs Nemotron 3 Ultra 550B A55B: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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