โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Command R+ vs Qwen3 Max Thinking

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 Max Thinking.

Cohere

Command R+

Cohere's enterprise-optimized model built for advanced Retrieval-Augmented Generation (RAG) and multi-step tool use. Highly effective for multilingual business processes.

View Full Specs
Alibaba

Qwen3 Max Thinking

Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...

View Full Specs

Technical Specifications

SpecificationCommand R+Qwen3 Max Thinking
ProviderCohereAlibaba
Context Window128,000 tokens262,144 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-04-042026-02-09

API Pricing Comparison

Input Price per Million Tokens

Command R+

$2.50

Qwen3 Max Thinking

$0.78

Output Price per Million Tokens

Command R+

$10.00

Qwen3 Max Thinking

$3.90

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

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
7570.0%vs9200.0%
Command R+
Qwen3 Max Thinking
HumanEvalPython coding & logic synthesis
7800.0%vs9650.0%
Command R+
Qwen3 Max Thinking
MATHComplex mathematical problem solving
6200.0%vs9120.0%
Command R+
Qwen3 Max Thinking
GPQAGraduate-level expert reasoning
4200.0%vs6200.0%
Command R+
Qwen3 Max Thinking
HellaSwagCommonsense reasoning and inference
8250.0%vs9120.0%
Command R+
Qwen3 Max Thinking
MT-BenchMulti-turn conversation flow quality
800.0%vs945.0%
Command R+
Qwen3 Max Thinking

Command R+ Quirks & Gotchas

  • โ–ธOptimized for RAG workflows โ€” best enterprise document search model
  • โ–ธTool calling requires explicit step definitions in Cohere's tool-use format

Qwen3 Max Thinking Quirks & Gotchas

No developer gotchas reported.