LongCat Flash Prover

SyncDev model directory · Profile updated Oct 8, 2026

Compare with another model

LongCat Flash Prover is a large Lean 4 reasoning checkpoint for generating and repairing formal proofs with tool feedback.

Key specifications

Specification score
41.6
Context window
983.04K
License
MIT
Parameters
560B

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input

Produces

  • Text output

Capabilities

ReasoningStreamingOpen weights

What is LongCat Flash Prover?

LongCat Flash Prover is a large Lean 4 reasoning checkpoint for generating and repairing formal proofs with tool feedback.

Formal proof work

Flash Prover is a 560B mixture-of-experts model built for Lean 4 and tool-integrated reasoning. Its useful output is a proof that the selected Lean environment accepts. A persuasive mathematical explanation alone does not meet that criterion.

Keep the proof environment fixed

Provide the theorem statement, available imports and the relevant library definitions. Compile the proposed proof, return the exact diagnostic and let the model revise it. Keep Lean and dependency versions consistent across the trial so environmental differences are not mistaken for model behaviour.

Thinking and tool history

The publisher documents interleaved and preserved-thinking approaches. The ordinary template retains tool calls and responses while managing prior thinking separately. Use the supplied template and parser so compiler feedback remains part of the agent’s working context. The released configuration sets 983,040 positions, but a maximum-length trial requires substantial infrastructure.

Evaluation and deployment

Test several theorem types, including a statement that cannot be proved from the supplied assumptions. Record accepted proofs, tool calls, retries and total time. The MIT-licensed weight set is a large distributed deployment; active expert computation does not make the complete checkpoint small. This profile keeps ordinary API pricing unknown unless a selected host establishes a rate for its specific route.

Sources

Model documentation

How to evaluate LongCat Flash Prover

Compare the model on the work you need to complete.

Tasks and inputs

LongCat Flash Prover is listed for Text generation, Coding & Code Generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Documented limits: 983.04K context. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

The weights are downloadable under MIT. Check runtime support and size the complete model and working context for your expected concurrency.

Frequently asked questions

Yes. The linked publisher repository supplies the weights or reference inference files and explains the supported runtime.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

Mistral AI

Leanstral 1.5 119B A6B

Leanstral 1.5 119B A6B is an Apache-licensed model for Lean 4 formal proofs and code workflows.

262.14K context

Mistral AI

Leanstral 2603

Leanstral 2603 is an Apache-licensed model for Lean 4 formal proofs and code workflows.

262.14K context

inclusionAI

Ling 2.6 1T

Ling 2.6 1T is a trillion-parameter MIT-licensed checkpoint for complex instruction following, coding and long-document workflows.

262.14K context

inclusionAI

Ling 2.6 Flash

Ling 2.6 Flash is a hybrid-attention instruction checkpoint designed for concise responses and repeated agent tool workflows.

131.07K context

inclusionAI

Ling 3.0 Flash

Ling 3.0 Flash is inclusionAI’s MIT-licensed hybrid reasoning checkpoint for long-context coding and agent tasks.

262.14K context

inclusionAI

Ling 3.0 Tiny

Ling 3.0 Tiny is a compact MIT-licensed reasoning checkpoint with 7.9B total parameters and 1.3B active per token.

131.07K context