Head-to-Head Model Comparison

Command A Plus vs Command A Reasoning

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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Command A PlusProfile

Command A ReasoningProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Command A Plus

Açık Ağırlıklı Temel Model

Cohere tarafından geliştirilen Command A Plus; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 128K bağlam penceresi, 68 token/sn hız, 58/100 zeka indeksi ve 1M token başına $3/$

Intelligence Index58 / 100

Input Token:

$3.00 / 1M

Output Token:

$12.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

60.5%

Cohere

Command A Reasoning

Açık Ağırlıklı Akıl Yürütme

Cohere tarafından geliştirilen Command A Reasoning; yüksek verimli açık ağırlıklı düşünce zinciri (Chain-of-Thought) akıl yürütme için tasarlanmış olup 256K bağlam penceresi, 55 token/sn hız, 55/100 zeka indeksi ve 1M token başına $2.5/$10

Intelligence Index55 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

53%

Bir Bakışta Temel Farklar

Command A Reasoning is 1.2x cheaper for API usage (input + output tokens combined).
Command A Reasoning has a larger context window (256K vs 128K tokens).
Command A Plus is faster at 68 tok/s vs 55 tok/s.
Command A Plus leads on SWE-bench coding (60.5% vs 53.0%).

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

Feature	Command A Plus	Command A Reasoning
Intelligence Index Composite reasoning & knowledge score (0-100)	58	55
Provider	Cohere	Cohere
Input Price Cost per million input tokens	$3.00 / 1M	$2.50 / 1M
Output Price Cost per million output tokens	$12.00 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$2.33 / 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	33K	33K
Throughput Speed Tokens generated per second	68 tok/s	55 tok/s
SWE-bench Verified Real-world software engineering	60.5%	53%
GPQA Diamond Graduate-level reasoning	74%	70%
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 Plus

+7.5% SWE-bench lead

Cost

Command A Reasoning

1.2x cheaper monthly runtime

Speed

Command A Plus

+24% faster generation

Context

Command A Reasoning

256K tokens window

Doğrulanmış Benchmark Puanları

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

Command A PlusCommand A Reasoning

SWE-bench Verified (Autonomous Coding)

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

60.5%vs53%

GPQA Diamond (Doctorate-Level Science & Math)

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

74%vs70%

MMLU-Pro (Multi-task Language Understanding)

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

86.8%vs84.5%

LMSYS Chatbot Arena Elo

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

1410ptsvs1370pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

50%vs47%

AIME (Advanced Math Competition)

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

82.5%vs78%

Long-Context Reasoning

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

88%vs86%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

68 tok/s vs55 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 Plus0.56s

Command A Reasoning0.75s

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

Command A Plus7.91s

Command A Reasoning9.84s

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 Plus Monthly API Bill

$16.43 / month

$3/1M in · $12/1M out

Command A Reasoning Monthly API Bill

$13.88 / month

$2.5/1M in · $10/1M out

Command A Reasoning saves approximately $2.55 / month (16%) under this workload.1.2x Savings

Command A Plus · Strengths & Key Advantages

128K bağlam penceresi ve yanıt başına maksimum 33K çıktı tokenı kapasitesi (SWE-bench Verified 60.5% · GPQA Diamond 74%)
Sadece 560 ms ilk token gecikmesi (TTFT) ile saniyede 68 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (Confidential (~180B+ MoE))

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 Reasoning · Strengths & Key Advantages

256K bağlam penceresi ve yanıt başına maksimum 33K çıktı tokenı kapasitesi (SWE-bench Verified 53% · GPQA Diamond 70%)
Sadece 750 ms ilk token gecikmesi (TTFT) ile saniyede 55 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 Plus	Command A Reasoning
Cost per Task Estimated USD to finish one task	$0.85	$0.95
Output Tokens / Task Tokens generated per task	45K	45K
Reasoning Tokens / Task Thinking tokens burned per task	22K	22K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Command A Plus	Command A Reasoning
Official API Model ID (SDK)	command-a-plus	command-a-reasoning
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-05	2025-08
Knowledge Cutoff	March 2026	June 2025
Architecture	Flagship Multimodal Agentic MoE	Enterprise Chain-of-Thought Reasoning Transformer
Parameters	Confidential (~180B+ MoE)	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 ($3/1M 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) · 112 GB VRAM (4-bit Quantized) · 387 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 Plus vs Command A Reasoning: Hızlı Yanıtlar (SSS)

Which is more intelligent, Command A Plus or Command A Reasoning?

Command A Plus is more intelligent. It scores 58 compared with 55 on the composite Intelligence Index.

Which model is faster?

Command A Plus is faster, generating 68 tokens per second compared with 55 tokens per second.

Which model is cheaper to run?

Command A Reasoning is cheaper at $2.02 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 0.75s.

Which model has a larger context window?

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

Sonuç

Hem Command A Plus (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Command A Reasoning (yüksek verimli açık ağırlıklı düşünce zinciri (Chain-of-Thought) akıl yürütme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Command A Plus karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Command A Plus daha yüksek üretim hızı sağlar; Command A Reasoning ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Command A Plus mi yoksa Command A Reasoning mi daha iyi?+

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

Command A Plus ve Command A Reasoning API fiyatları nasıl karşılaştırılır?+

Command A Plus 1M giriş/çıkış tokeni başına $3.00 / $12.00 ücretlendirilirken, Command A Reasoning $2.50 / $10.00 seviyesindedir. Karma maliyette Command A Reasoning daha avantajlıdır.

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

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

İstediğiniz Modelleri Seçin ve Karşılaştırın

Command A Plus

Command A Reasoning

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Command A Plus · Strengths & Key Advantages

Considerations & Trade-offs

Command A Reasoning · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Command A Plus vs Command A Reasoning: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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