Bai Qwen3 VL 235B A22B Instruct vs Kimi K3

Output tokens cost $1.10 per million on Bai Qwen3 VL 235B A22B Instruct and $15.00 per million on Kimi K3. Input tokens cost $0.27 per million on Bai Qwen3 VL 235B A22B Instruct and $3.00 per million on Kimi K3. Cached input tokens are billed at $0.27 per million on Bai Qwen3 VL 235B A22B Instruct and $0.30 per million on Kimi K3. Context lengths are 131,000 tokens on Bai Qwen3 VL 235B A22B Instruct and 1,048,576 tokens on Kimi K3. Time to first token (TTFT) measured on AIHubMix is 1.1s on Bai Qwen3 VL 235B A22B Instruct and 0.9s on Kimi K3. Measured output throughput is 41.7 tok/s on Bai Qwen3 VL 235B A22B Instruct and 73.1 tok/s on Kimi K3. On the LMArena coding leaderboard Bai Qwen3 VL 235B A22B Instruct scores 1466 and Kimi K3 scores 1531.

Bai Qwen3 VL 235B A22B Instruct✕Kimi K3✕

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Bai Qwen3 VL 235B A22B Instruct

Qwen · → text

The Qwen3 series open-source models include hybrid models, thinking models, and non-thinking models, with both reasoning capabilities and general abilities reaching industry SOTA levels at the same scale.

Input$0.27 /M

Output$1.10 /M

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Kimi K3

Moonshot AI · text, image, video → text

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Input$3.00 /M

Output$15.00 /M

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