Qwen Max vs Reka Core

Qwen Max costs $1.60 per 1M input tokens and $6.40 per 1M output tokens, whereas Reka Core costs $3.00 input and $15.00 output. Overall, Qwen Max is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.

Qwen Max supports a context window of 33K tokens (~25k words), while Reka Core supports 128K tokens (~96k words). Therefore, Reka Core can process more textual data and document context in a single prompt.

Qwen Max scores 32.5% on SWE-bench Verified, while Reka Core scores competitively for software generation. For complex autonomous debugging and agentic engineering, Qwen Max provides robust code generation and tool calling.

Qwen Max features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Reka Core provides chain-of-thought reasoning depth for complex math and science.

Qwen Max generates approximately 65 tokens per second, while Reka Core delivers 75 tokens per second. In latency-sensitive production environments, Reka Core provides faster time-to-first-token (TTFT) and higher streaming response velocity.

Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Qwen Max to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Reka Core. This tiered routing pattern cuts overall API bills by up to 70%.