Unverified50% confidenceFactExact time
Flint is a 40B MoE model for coding agents released by Recursive, with 2.5B active parameters, supporting reasoning, tool calling, and a 256K context.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/23/2026
First Seen
Valid until: 1/21/2027
Sources
Related Entities
Related Claims
UnverifiedOllama v0.40.9-rc2 fixed the issue where the Flint model still generated thinking content when think:false, making it output the final answer directly.55% similarUnverifiedWhen sustained reasoning workloads exceed 40 million output tokens per day, migrating open-weight mixture-of-experts reasoning models to dedicated bare-metal NVIDIA H200/B200 clusters turns the variable per-token penalty into fixed hardware amortization.54% similarUnverifiedUnder a dense architecture, a 35B-parameter model, for each token generated, puts all 35B weights and activations into matrix multiplication operations.53% similarUnverifiedLangGraph combines graph state machines with LLM reasoning, where nodes are tool or LLM calls and edges are conditional transition logic, with a persistence layer (Checkpoint) ensuring that processes can be interrupted and resumed.53% similarUnverifiedChain-of-thought technology shows noticeable effects on models with more than 100B parameters.52% similar
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