Head-to-Head Model Comparison

Command A Translate vs Command A Vision

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri
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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

Cohere tarafından geliştirilen Command A Translate ve Cohere tarafından sunulan Command A Vision, kendi sınıflarının öne çıkan yapay zeka modelleridir. Command A Translate, 8.2K token bağlam penceresi ve 1M token başına $0.20/$0.40 fiyat sunarken; Command A Vision, 128K token bağlam penceresi ve $2.50/$10.00 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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Command A Translate

Hafif ve Ekonomik Model

Cohere tarafından geliştirilen Command A Translate; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 8K bağlam penceresi, 130 token/sn hız, 40/100 zeka indeksi ve 1M token başına $0.2/$0.4 fiyatlandır

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

Yerel Çok Modlu Yapay Zeka

Cohere tarafından geliştirilen Command A Vision; yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi için tasarlanmış olup 128K bağlam penceresi, 65 token/sn hız, 53/100 zeka indeksi ve 1M token başına $2.5/$10 fiyatlandırma s

Intelligence Index53 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

45%

Bir Bakışta Temel Farklar

  • 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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

Gecikme Süresi ve Yanıt Hızı

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

Gerçek Zamanlı Token Maliyet Simülatörü

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

  • 8K bağlam penceresi ve yanıt başına maksimum 4K çıktı tokenı kapasitesi (MMLU-Pro 68% · Arena Elo 1235)
  • Sadece 320 ms ilk token gecikmesi (TTFT) ile saniyede 130 token yüksek üretim hızı
  • vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (Confidential (~14B))
Considerations & Trade-offs
  • Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Command A Vision · Strengths & Key Advantages

  • 128K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 45% · GPQA Diamond 62.5%)
  • Sadece 550 ms ilk token gecikmesi (TTFT) ile saniyede 65 token yüksek üretim hızı
  • vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (Confidential (~110B+))
Considerations & Trade-offs
  • Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
  • Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

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

Teknik Özellikler

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: Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem Command A Translate (token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Command A Vision (yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Command A Vision karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Command A Translate daha yüksek üretim hızı sağlar; Command A Translate ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Command A Translate mi yoksa Command A Vision mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Command A Vision önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Command A Translate ve Command A Vision API fiyatları nasıl karşılaştırılır?+

Command A Translate 1M giriş/çıkış tokeni başına $0.20 / $0.40 ücretlendirilirken, Command A Vision $2.50 / $10.00 seviyesindedir. Karma maliyette Command A Translate daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Command A Translate 8.2K token bağlam penceresi sunarken Command A Vision 128K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Command A Translate öndedir.

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.

Resmi kaynaklar: Cohere ve Cohere resmi API dokümantasyonu, sistem kartları ve bağımsız benchmark testleri (2026).