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Command R (Aug 2024) vs Qwen3 Coder Next

At a glance

Cohere's mid-tier retrieval-optimized model from August 2024.

128K ctx$0.15/$0.60 per M

Efficient coding agent with 80B parameters, only 3B active per token.

262K ctx$0.11/$0.80 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper7%
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
128K
Context
4K
Max output
Aug 2024
Released
262K
Context
128K
Max output
Feb 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$0.15/M tokens
Output25%$0.60/M tokens
Live pricing, shown before you run
Input27%$0.11/M tokens
Output$0.80/M tokens
Cache read$0.07/M tokens
Chat with Command R (Aug 2024)Go to model
Chat with Qwen3 Coder NextGo to model
Frequently Asked Questions: Command R (Aug 2024) vs Qwen3 Coder Next▼

Which is better, Command R (Aug 2024) or Qwen3 Coder Next?

▼

Both Command R (Aug 2024) and Qwen3 Coder Next are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Command R (Aug 2024) or Qwen3 Coder Next?

▼

Command R (Aug 2024) has a lower blended cost. Command R (Aug 2024): $0.15 input / $0.60 output. Qwen3 Coder Next: $0.11 input / $0.80 output.

Which has a larger context window, Command R (Aug 2024) or Qwen3 Coder Next?

▼

Qwen3 Coder Next has a larger context window: Command R (Aug 2024) supports 128K tokens vs Qwen3 Coder Next at 262K tokens.

What are the key differences between Command R (Aug 2024) and Qwen3 Coder Next?

▼

Command R (Aug 2024) and Qwen3 Coder Next have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Command R (Aug 2024) and Qwen3 Coder Next for free on idapt.app to see which performs better for your specific needs.

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