1.05M vs 400k: Which Large Language Models is Best?

Verdict: 1.05M wins by 82 points.

1.05M takes the lead in this comparison, scoring 563 points to 400k's 481. This 82-point gap suggests that 1.05M dominates its competitor in general intelligence.

For users focused on reasoning, coding capabilities, 1.05M from 57 currently represents the state-of-the-art. Its higher Elo score indicates greater consistency across our benchmark set.

However, 400k remains a formidable contender. Ranked #3, it is a top-tier choice. Depending on your specific needs—such as licensing (Proprietary) or ecosystem integration—400k may still be the right tool for your pipeline.

Comparison Data

Feature	1.05M	400k
Rank	#2	#3
Score	563	481
Developer	57	54
License	Proprietary	Proprietary

Conclusion

Both models are excellent choices within the Large Language Models landscape. We recommend checking the full leaderboard for the most up-to-date rankings as new models are released frequently.