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Head-to-Head Model Comparison

Command A Translate vs Command A Vision

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Command A Translate vs Command A Vision: Benchmarks, Pricing & Speed Comparison

Command A Translate di Cohere e Command A Vision di Cohere sono due modelli di IA di riferimento. Command A Translate offre una finestra di contesto di 8.2K token a $0.20/$0.40 per milione di token, mentre Command A Vision mette a disposizione 128K token di contesto a $2.50/$10.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Cohere

Command A Translate

Modello Leggero ed Economico

Command A Translate di Cohere è un modello di IA progettato per la massima efficienza dei costi per token e l’inferenza rapida in produzione, con finestra di contesto da 8K, velocità di 130 token/s, indice di intelligenza di 40/100 e tariff

Intelligence Index40 / 100
Input Token:

$0.20 / 1M

Output Token:

$0.40 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

N/A

Cohere

Command A Vision

IA Multimodale Nativa

Command A Vision di Cohere è un modello di IA progettato per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, con finestra di contesto da 128K, velocità di 65 token/s, indice di intelligenza di 53/100

Intelligence Index53 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

45%

Differenze Chiave a Colpo d’Occhio

  • Command A Translate is 18.9x cheaper for API usage (input + output tokens combined).
  • Command A Vision has a larger context window (128K vs 8K tokens).
  • Command A Translate is faster at 130 tok/s vs 65 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureCommand A TranslateCommand A Vision
Intelligence Index
Composite reasoning & knowledge score (0-100)
4053
Provider
CohereCohere
Input Price
Cost per million input tokens
$0.20 / 1M$2.50 / 1M
Output Price
Cost per million output tokens
$0.40 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.11 / 1M$2.02 / 1M
Context Window
Maximum input + output tokens
8.2K tokens~12 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
4K16K
Throughput Speed
Tokens generated per second
130 tok/s65 tok/s
SWE-bench Verified
Real-world software engineering
N/A45%
GPQA Diamond
Graduate-level reasoning
N/A62.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$0.75 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Command A Translate
18.9x cheaper monthly runtime
Speed
Command A Translate
+100% faster generation
Context
Command A Vision
128K tokens window

Punteggi Benchmark Verificati

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

Command A TranslateCommand A Vision
SWE-bench Verified (Autonomous Coding)

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

N/Avs45%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs62.5%
MMLU-Pro (Multi-task Language Understanding)

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

68%vs81.5%
LMSYS Chatbot Arena Elo

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

1235ptsvs1345pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs41%
Long-Context Reasoning

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

N/Avs83%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 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 Translate0.32s
Command A Vision0.55s
Est. End-to-End Response (500 tokens)TTFT + generation time
Command A Translate4.17s
Command A Vision8.24s

Simulatore Interattivo dei Costi Token

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)
Command A Translate Monthly API Bill
$0.74 / month
$0.2/1M in · $0.4/1M out
Command A Vision Monthly API Bill
$13.88 / month
$2.5/1M in · $10/1M out
Command A Translate saves approximately $13.14 / month (95%) under this workload.18.9x Savings

Command A Translate · Strengths & Key Advantages

  • Finestra di contesto da 8K con capacità massima di output fino a 4K token (MMLU-Pro 68% · Arena Elo 1235)
  • Throughput elevato di 130 token/secondo con latenza al primo token (TTFT) di soli 320 ms
  • Pesi aperti (Confidential (~14B)) 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

Command A Vision · Strengths & Key Advantages

  • Finestra di contesto da 128K con capacità massima di output fino a 16K token (SWE-bench Verified 45% · GPQA Diamond 62.5%)
  • Throughput elevato di 65 token/secondo con latenza al primo token (TTFT) di soli 550 ms
  • Pesi aperti (Confidential (~110B+)) 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

Token Use & Task Economics

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

MetricCommand A TranslateCommand A Vision
Cost per Task
Estimated USD to finish one task
$0.04$0.80
Output Tokens / Task
Tokens generated per task
15K38K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureCommand A TranslateCommand A Vision
Official API Model ID (SDK)command-a-translatecommand-a-vision
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2025-082025-07
Knowledge CutoffJune 2025May 2025
ArchitectureSpecialized Enterprise Neural Translation TransformerEnterprise Multimodal Agent Transformer
ParametersConfidential (~14B)Confidential (~110B+)
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)Flat rate ($0.2/1M in) across full 8K windowFlat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensCached input at $0.75/1M 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) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 9 GB VRAM (4-bit Quantized) · 30 GB VRAM (Native BF16)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 68 GB VRAM (4-bit Quantized) · 237 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, vision
Output Modalitiestexttext

Command A Translate vs Command A Vision: Risposte Rapide (FAQ)

Which is more intelligent, Command A Translate or Command A Vision?

Command A Vision is more intelligent. It scores 53 compared with 40 on the composite Intelligence Index.

Which model is faster?

Command A Translate is faster, generating 130 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Command A Translate is cheaper at $0.11 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command A Translate has lower latency, with a time to first token of 0.32s compared with 0.55s.

Which model has a larger context window?

Command A Vision has a larger context window, supporting 128K tokens compared with 8.2K tokens.

Verdetto

Sia Command A Translate (Ideale per la massima efficienza dei costi per token e l’inferenza rapida in produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Command A Vision (Ideale per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Command A Vision guida nei benchmark di ragionamento e programmazione, Command A Translate garantisce una generazione più rapida e Command A Translate offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Command A Translate o Command A Vision?+

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

Qual è la differenza di prezzo API tra Command A Translate e Command A Vision?+

Command A Translate costa $0.20 / $0.40 per milione di token di input/output, mentre Command A Vision costa $2.50 / $10.00. Nel costo combinato, Command A Translate risulta più economico.

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

Command A Translate supporta 8.2K token di contesto contro 128K token di Command A Vision, mentre Command A Translate 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

Fonti ufficiali: Documentazione API ufficiale di Cohere e Cohere, schede di sistema e benchmark indipendenti (2026).