Command R+ vs Qwen3 235B A22B Thinking 2507
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 235B A22B Thinking 2507.
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.
Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Technical Specifications
| Specification | Command R+ | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Provider | Cohere | Alibaba |
| Context Window | 128,000 tokens | 262,144 tokens |
| Agent Suitability | 86/100 | N/A |
| Time to First Token (TTFT) | 350 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-04-04 | 2025-07-25 |
API Pricing Comparison
Input Price per Million Tokens
Command R+
$2.50
Qwen3 235B A22B Thinking 2507
$0.15
Output Price per Million Tokens
Command R+
$10.00
Qwen3 235B A22B Thinking 2507
$1.50
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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.
Command R+ Quirks & Gotchas
- ▸Optimized for RAG workflows — best enterprise document search model
- ▸Tool calling requires explicit step definitions in Cohere's tool-use format
Qwen3 235B A22B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.