Unverified50% confidenceBenchmarkExact time
Janas supports speculative decoding: a small draft model guesses the next few tokens and the large model verifies them in one pass. On Qwen3-Next-80B this raises write speed from 24 to 37 tok/s, with the text content completely identical.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
Valid until: 10/27/2026
Sources
Related Entities
Related Claims
UnverifiedIn the 16-concurrency, 256-token-output test, Gemma 4 E2B achieves an output speed of 1887 tokens/second, and the models faster than it include Qwen2.5-0.5B (4176, 2.21x), Qwen3-0.6B (3210, 1.70x), Qwen2.5-1.5B (2780, 1.47x), and Qwen3-1.7B (2049, 1.09x).71% similarUnverifiedIn a speculative decoding test using Qwen2.5 0.5B as the draft model proposing 4 tokens at a time, the overall draft acceptance rate was 32.9% for serial processing and 37.1% for concurrent processing.69% similarUnverifiedWith a 32K prompt input, the Q2 quantization read speed can increase from 572 tokens/s to 1,290 tokens/s, and Q3 can increase from 383 to 1,208 tokens/s.66% similarUnverifiedQwen3 27B achieved a 100% pass rate in the 256K long-context memory retrieval test (needle in a haystack), with all 15 runs being accurate.66% similarUnverifiedQwen2.5-Max-0902 has a maximum output of 130,000 tokens, with the limit rising to 260,000 tokens in reasoning mode.63% similar
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