Head-to-Head Model Comparison

Command A Vision vs Command A

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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

Command A VisionProfile

Command AProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

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%

Cohere

Command A

Otonom Ajan ve Araç Modeli

Cohere tarafından geliştirilen Command A; otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon için tasarlanmış olup 256K bağlam penceresi, 70 token/sn hız, 51/100 zeka indeksi ve 1M token başına $2.5/$10 fiyatlandır

Intelligence Index51 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

46%

Bir Bakışta Temel Farklar

Both models cost the same under this workload — choose on capability, not price.
Command A has a larger context window (256K vs 128K tokens).
Command A is faster at 70 tok/s vs 65 tok/s.
Command A leads on SWE-bench coding (46.0% vs 45.0%).

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

Feature	Command A Vision	Command A
Intelligence Index Composite reasoning & knowledge score (0-100)	53	51
Provider	Cohere	Cohere
Input Price Cost per million input tokens	$2.50 / 1M	$2.50 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.02 / 1M	$2.02 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	256K tokens~384 A4 pages of text
Max Output Tokens Per single request	16K	16K
Throughput Speed Tokens generated per second	65 tok/s	70 tok/s
SWE-bench Verified Real-world software engineering	45%	46%
GPQA Diamond Graduate-level reasoning	62.5%	61%
Cached Input Price Prompt caching discount per 1M tokens	$0.75 / 1M	$0.75 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Command A

+1.0% SWE-bench lead

Cost

Tied

Identical monthly runtime cost

Speed

Command A

+8% faster generation

Context

Command A

256K tokens window

Doğrulanmış Benchmark Puanları

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

Command A VisionCommand A

SWE-bench Verified (Autonomous Coding)

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

45%vs46%

GPQA Diamond (Doctorate-Level Science & Math)

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

62.5%vs61%

MMLU-Pro (Multi-task Language Understanding)

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

81.5%vs81%

LMSYS Chatbot Arena Elo

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

1345ptsvs1335pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

41%vs42%

Long-Context Reasoning

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

83%vs84%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

65 tok/s vs70 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 Vision0.55s

Command A0.52s

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

Command A Vision8.24s

Command A7.66s

Gerçek Zamanlı Token Maliyet Simülatörü

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 Vision Monthly API Bill

$13.88 / month

$2.5/1M in · $10/1M out

Command A Monthly API Bill

$13.88 / month

$2.5/1M in · $10/1M out

These models cost the same under this workload — no savings either way.Break-even

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

Command A · Strengths & Key Advantages

256K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 46% · GPQA Diamond 61%)
Sadece 520 ms ilk token gecikmesi (TTFT) ile saniyede 70 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (Confidential (~100B+))

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.

Metric	Command A Vision	Command A
Cost per Task Estimated USD to finish one task	$0.80	$0.75
Output Tokens / Task Tokens generated per task	38K	38K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Command A Vision	Command A
Official API Model ID (SDK)	command-a-vision	command-a
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-07	2025-03
Knowledge Cutoff	May 2025	January 2025
Architecture	Enterprise Multimodal Agent Transformer	Agentic Enterprise Transformer
Parameters	Confidential (~110B+)	Confidential (~100B+)
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 128K window	Flat rate ($2.5/1M in) across full 256K window
Prompt Cache Policy & TTL	Cached input at $0.75/1M tokens	Cached input at $0.75/1M 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) · 68 GB VRAM (4-bit Quantized) · 237 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 62 GB VRAM (4-bit Quantized) · 215 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 Vision vs Command A: Hızlı Yanıtlar (SSS)

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

Command A Vision is more intelligent. It scores 53 compared with 51 on the composite Intelligence Index.

Which model is faster?

Command A is faster, generating 70 tokens per second compared with 65 tokens per second.

Which model has lower latency?

Command A has lower latency, with a time to first token of 0.52s compared with 0.55s.

Which model has a larger context window?

Command A has a larger context window, supporting 256K tokens compared with 128K tokens.

Sonuç

Hem Command A Vision (yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Command A (otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon, 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 daha yüksek üretim hızı sağlar; Command A Vision ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Command A Vision mi yoksa Command A 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 Vision ve Command A API fiyatları nasıl karşılaştırılır?+

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

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

Command A Vision 128K token bağlam penceresi sunarken Command A 256K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Command A 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.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Command A Vision vs Command A

İstediğiniz Modelleri Seçin ve Karşılaştırın

Command A Vision

Command A

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Command A Vision · Strengths & Key Advantages

Considerations & Trade-offs

Command A · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Command A Vision vs Command A: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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