Unverified50% confidenceBenchmarkExact time
When speculative decoding is configured properly, token generation speed can improve by about 1.5x (according to vLLM); Omer personally tested Qwen3 35B MoE with a DFlash drafter in his home lab and measured a 2x to 3x improvement, close to 3x in coding scenarios and about 1.5x in browser automation.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedThe UP host tested MiniCPM-2B on a computer with 4G VRAM and achieved a generation speed of 57 tokens per second, with a first-token latency of only 0.22 seconds.71% similarUnverifiedQwen3.5 with approximately 800 million parameters achieved the fastest generation speed, approaching 15 tokens per second, with the second-place LFM2.5 exceeding 10 tokens per second.69% similarUnverifiedOn the Python side, single-prompt model.generate speeds up Llama and Qwen3 models by up to 2.7x at 32K context; with bitsandbytes 4-bit models, generating 2 to 4 prompts at a time speeds up by up to 2.8x on some NVIDIA GPUs.68% similarUnverifiedOn the Qwen 3.8 Flash Next model, decoding performance doubled to 52 tok/s.67% similar
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