Head-to-Head Model Comparison

Command A vs Aya Vision 32B

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 AProfile

Aya Vision 32BProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Command A

IA Agentica e Strumenti Autonomi

Command A di Cohere è un modello di IA progettato per i workflow agentici autonomi, il tool calling e l’automazione multi-step, con finestra di contesto da 256K, velocità di 70 token/s, indice di intelligenza di 51/100 e tariffa di $2.5/$10

Intelligence Index51 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

46%

Cohere

Aya Vision 32B

Modello Multilingue Globale

Aya Vision 32B di Cohere è un modello di IA progettato per la traduzione multilingue ad alta precisione e la comunicazione aziendale globale, con finestra di contesto da 16K, velocità di 75 token/s, indice di intelligenza di 45/100 e tariff

Intelligence Index45 / 100

Input Token:

$0.35 / 1M

Output Token:

$0.80 / 1M

Context Window:

16K tokens

SWE-bench Verified:

32%

Differenze Chiave a Colpo d’Occhio

Aya Vision 32B is 10.2x cheaper for API usage (input + output tokens combined).
Command A has a larger context window (256K vs 16K tokens).
Aya Vision 32B is faster at 75 tok/s vs 70 tok/s.
Command A leads on SWE-bench coding (46.0% vs 32.0%).

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

Feature	Command A	Aya Vision 32B
Intelligence Index Composite reasoning & knowledge score (0-100)	51	45
Provider	Cohere	Cohere
Input Price Cost per million input tokens	$2.50 / 1M	$0.35 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$0.80 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.02 / 1M	$0.21 / 1M
Context Window Maximum input + output tokens	256K tokens~384 A4 pages of text	16K tokens~24 A4 pages of text
Max Output Tokens Per single request	16K	4K
Throughput Speed Tokens generated per second	70 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	46%	32%
GPQA Diamond Graduate-level reasoning	61%	51.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.75 / 1M	$0.08 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Command A

+14.0% SWE-bench lead

Cost

Aya Vision 32B

10.2x cheaper monthly runtime

Speed

Aya Vision 32B

+7% faster generation

Context

Command A

256K tokens window

Punteggi Benchmark Verificati

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

Command AAya Vision 32B

SWE-bench Verified (Autonomous Coding)

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

46%vs32%

GPQA Diamond (Doctorate-Level Science & Math)

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

61%vs51.5%

MMLU-Pro (Multi-task Language Understanding)

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

81%vs74%

LMSYS Chatbot Arena Elo

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

1335ptsvs1280pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

42%vsN/A

Long-Context Reasoning

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

84%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

70 tok/s vs75 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 A0.52s

Aya Vision 32B0.48s

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

Command A7.66s

Aya Vision 32B7.15s

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 Monthly API Bill

$13.88 / month

$2.5/1M in · $10/1M out

Aya Vision 32B Monthly API Bill

$1.36 / month

$0.35/1M in · $0.8/1M out

Aya Vision 32B saves approximately $12.51 / month (90%) under this workload.10.2x Savings

Command A · Strengths & Key Advantages

Finestra di contesto da 256K con capacità massima di output fino a 16K token (SWE-bench Verified 46% · GPQA Diamond 61%)
Throughput elevato di 70 token/secondo con latenza al primo token (TTFT) di soli 520 ms
Pesi aperti (Confidential (~100B+)) 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

Aya Vision 32B · Strengths & Key Advantages

Finestra di contesto da 16K con capacità massima di output fino a 4K token (SWE-bench Verified 32% · GPQA Diamond 51.5%)
Throughput elevato di 75 token/secondo con latenza al primo token (TTFT) di soli 480 ms
Pesi aperti (32B) 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	Aya Vision 32B
Cost per Task Estimated USD to finish one task	$0.75	$0.22
Output Tokens / Task Tokens generated per task	38K	25K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Command A	Aya Vision 32B
Official API Model ID (SDK)	command-a	aya-vision-32b
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-03	2025-03
Knowledge Cutoff	January 2025	January 2025
Architecture	Agentic Enterprise Transformer	High-Capacity Multilingual VLM
Parameters	Confidential (~100B+)	32B
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 ($2.5/1M in) across full 256K window	Flat rate ($0.35/1M in) across full 16K window
Prompt Cache Policy & TTL	Cached input at $0.75/1M tokens	Cached input at $0.08/1M 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)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 62 GB VRAM (4-bit Quantized) · 215 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 20 GB VRAM (4-bit Quantized) · 69 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
Output Modalities	text	text

Command A vs Aya Vision 32B: Risposte Rapide (FAQ)

Which is more intelligent, Command A or Aya Vision 32B?

Command A is more intelligent. It scores 51 compared with 45 on the composite Intelligence Index.

Which model is faster?

Aya Vision 32B is faster, generating 75 tokens per second compared with 70 tokens per second.

Which model is cheaper to run?

Aya Vision 32B is cheaper at $0.21 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aya Vision 32B has lower latency, with a time to first token of 0.48s compared with 0.52s.

Which model has a larger context window?

Command A has a larger context window, supporting 256K tokens compared with 16K tokens.

Verdetto

Sia Command A (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) sia Aya Vision 32B (Ideale per la traduzione multilingue ad alta precisione e la comunicazione aziendale globale, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Command A guida nei benchmark di ragionamento e programmazione, Aya Vision 32B garantisce una generazione più rapida e Aya Vision 32B offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Command A o Aya Vision 32B?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Command A. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Command A e Aya Vision 32B?+

Command A costa $2.50 / $10.00 per milione di token di input/output, mentre Aya Vision 32B costa $0.35 / $0.80. Nel costo combinato, Aya Vision 32B risulta più economico.

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

Command A supporta 256K token di contesto contro 16K token di Aya Vision 32B, mentre Aya Vision 32B 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 vs Aya Vision 32B

Cambia e Confronta Qualsiasi Modello

Command A

Aya Vision 32B

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Command A · Strengths & Key Advantages

Considerations & Trade-offs

Aya Vision 32B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Command A vs Aya Vision 32B: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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