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Command R vs Qwen3 Coder Plus

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command R and Qwen3 Coder Plus.

Cohere

Command R

Command R is Cohere's lightweight, cost-efficient model engineered for high-speed enterprise integrations, productivity automation, and retrieval-augmented generation (RAG) pipelines. Optimized for low-latency API tool use and structured JSON output, it is particularly effective in enterprise search and question-answering systems where fast, reliable responses are critical. With a 128,000-token context window and a price of $0.15/MTok for input, Command R provides strong RAG performance and multilingual support at a fraction of the cost of Command R+, making it the preferred choice for teams scaling intelligent document retrieval at high request volumes.

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Alibaba

Qwen3 Coder Plus

Qwen3 Coder Plus is Alibaba's proprietary version of the Open Source Qwen3 Coder 480B A35B. It is a powerful coding agent model specializing in autonomous programming via tool calling and...

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Technical Specifications

SpecificationCommand RQwen3 Coder Plus
ProviderCohereAlibaba
Context Window128,000 tokens1,000,000 tokens
Agent Suitability78/100N/A
Time to First Token (TTFT)200 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-03-112025-09-23

API Pricing Comparison

Input Price per Million Tokens

Command R

$0.15

Qwen3 Coder Plus

$0.65

Output Price per Million Tokens

Command R

$0.60

Qwen3 Coder Plus

$3.25

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Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7100.0%vs8450.0%
Command R
Qwen3 Coder Plus
HumanEvalPython coding & logic synthesis
7300.0%vs9380.0%
Command R
Qwen3 Coder Plus
MATHComplex mathematical problem solving
5400.0%vs7500.0%
Command R
Qwen3 Coder Plus
GPQAGraduate-level expert reasoning
3500.0%vs4500.0%
Command R
Qwen3 Coder Plus
HellaSwagCommonsense reasoning and inference
7800.0%vs8650.0%
Command R
Qwen3 Coder Plus
MT-BenchMulti-turn conversation flow quality
750.0%vs905.0%
Command R
Qwen3 Coder Plus

Command R Quirks & Gotchas

  • โ–ธCost-effective RAG model โ€” strong multilingual search performance
  • โ–ธLimited agentic capability โ€” use Command R+ for complex multi-step tool use

Qwen3 Coder Plus Quirks & Gotchas

No developer gotchas reported.