Unverified50% confidenceFactExact time
A European team released an extreme quantization version of DeepSeek, compressing the 763-billion-parameter model to an average of 1.75 bits with near-zero loss on mainstream benchmarks.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/25/2026
First Seen
Valid until: 1/23/2027
Sources
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Related Claims
UnverifiedDeepSeek's first-generation model consumed 389,000 bytes per context token, whereas the new model released this month consumes only 890 bytes per token, a 437-fold reduction.68% similarUnverifiedDeepSeek Pro's 1.6T total parameters with 49B activated parameters result in inference costs comparable to a roughly 49B dense model, while expanding knowledge capacity by approximately 32 times.67% similarPartially VerifiedDeepSeek-V4.1-Flash-1017 achieves 77.0% accuracy on the DeepSWE coding benchmark at an average cost of slightly under $0.20 per task (highest setting), with about 72% accuracy at about $0.10 in the low setting.66% similar
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