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Head-to-Head Model Comparison

Command R+ vs Command R

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 R+ vs Command R: Benchmarks, Pricing & Speed Comparison

Cohere tarafından geliştirilen Command R+ ve Cohere tarafından sunulan Command R, kendi sınıflarının öne çıkan yapay zeka modelleridir. Command R+, 128K token bağlam penceresi ve 1M token başına $2.50/$10.00 fiyat sunarken; Command R, 128K token bağlam penceresi ve $0.15/$0.60 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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Cohere

Command R+

Açık Ağırlıklı Temel Model

Cohere tarafından geliştirilen Command R+; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 128K bağlam penceresi, 65 token/sn hız, 48/100 zeka indeksi ve 1M token başına $2.5/$10

Intelligence Index48 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

41.5%

Cohere

Command R

Açık Ağırlıklı Temel Model

Cohere tarafından geliştirilen Command R; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 128K bağlam penceresi, 85 token/sn hız, 43/100 zeka indeksi ve 1M token başına $0.15/$0.

Intelligence Index43 / 100
Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

128K tokens

SWE-bench Verified:

32%

Bir Bakışta Temel Farklar

  • Command R is 16.5x cheaper for API usage (input + output tokens combined).
  • Command R is faster at 85 tok/s vs 65 tok/s.
  • Command R+ leads on SWE-bench coding (41.5% vs 32.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureCommand R+Command R
Intelligence Index
Composite reasoning & knowledge score (0-100)
4843
Provider
CohereCohere
Input Price
Cost per million input tokens
$2.50 / 1M$0.15 / 1M
Output Price
Cost per million output tokens
$10.00 / 1M$0.60 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.02 / 1M$0.13 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K4K
Throughput Speed
Tokens generated per second
65 tok/s85 tok/s
SWE-bench Verified
Real-world software engineering
41.5%32%
GPQA Diamond
Graduate-level reasoning
56.5%46%
Cached Input Price
Prompt caching discount per 1M tokens
$0.75 / 1M$0.05 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
Command R+
+9.5% SWE-bench lead
Cost
Command R
16.5x cheaper monthly runtime
Speed
Command R
+31% faster generation
Context
Tied
128K tokens window

Doğrulanmış Benchmark Puanları

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

Command R+Command R
SWE-bench Verified (Autonomous Coding)

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

41.5%vs32%
GPQA Diamond (Doctorate-Level Science & Math)

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

56.5%vs46%
MMLU-Pro (Multi-task Language Understanding)

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

78.5%vs71%
LMSYS Chatbot Arena Elo

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

1300ptsvs1240pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

36%vs28%
AIME (Advanced Math Competition)

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

66%vs52%
Long-Context Reasoning

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

80%vs75%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

65 tok/s vs85 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 R+0.58s
Command R0.42s
Est. End-to-End Response (500 tokens)TTFT + generation time
Command R+8.27s
Command R6.30s

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 R+ Monthly API Bill
$13.88 / month
$2.5/1M in · $10/1M out
Command R Monthly API Bill
$0.84 / month
$0.15/1M in · $0.6/1M out
Command R saves approximately $13.04 / month (94%) under this workload.16.5x Savings

Command R+ · Strengths & Key Advantages

  • 128K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 41.5% · GPQA Diamond 56.5%)
  • Sadece 580 ms ilk token gecikmesi (TTFT) ile saniyede 65 token yüksek üretim hızı
  • vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (104B)
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 R · Strengths & Key Advantages

  • 128K bağlam penceresi ve yanıt başına maksimum 4K çıktı tokenı kapasitesi (SWE-bench Verified 32% · GPQA Diamond 46%)
  • Sadece 420 ms ilk token gecikmesi (TTFT) ile saniyede 85 token yüksek üretim hızı
  • vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (35B)
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

Token Use & Task Economics

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

MetricCommand R+Command R
Cost per Task
Estimated USD to finish one task
$0.65$0.12
Output Tokens / Task
Tokens generated per task
35K25K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureCommand R+Command R
Official API Model ID (SDK)command-r-pluscommand-r
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2024-082024-08
Knowledge CutoffJune 2024June 2024
ArchitectureEnterprise-Grade Dense TransformerRetrieval-Augmented Dense Transformer
Parameters104B35B
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 ($2.5/1M in) across full 128K windowFlat rate ($0.15/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.75/1M tokensCached input at $0.05/1M 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)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 64 GB VRAM (4-bit Quantized) · 224 GB VRAM (Native BF16)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 22 GB VRAM (4-bit Quantized) · 75 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
Output Modalitiestexttext

Command R+ vs Command R: Hızlı Yanıtlar (SSS)

Which is more intelligent, Command R+ or Command R?

Command R+ is more intelligent. It scores 48 compared with 43 on the composite Intelligence Index.

Which model is faster?

Command R is faster, generating 85 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Command R is cheaper at $0.13 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command R has lower latency, with a time to first token of 0.42s compared with 0.58s.

Sonuç

Hem Command R+ (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 R (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Command R+ karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Command R daha yüksek üretim hızı sağlar; Command R ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Command R+ mi yoksa Command R mi daha iyi?+

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

Command R+ ve Command R API fiyatları nasıl karşılaştırılır?+

Command R+ 1M giriş/çıkış tokeni başına $2.50 / $10.00 ücretlendirilirken, Command R $0.15 / $0.60 seviyesindedir. Karma maliyette Command R daha avantajlıdır.

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

Command R+ 128K token bağlam penceresi sunarken Command R 128K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Command R 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 & 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.

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