That's NeuralModel catalog

recursive

Recursive: Flint (free)

recursive/flint-v1.0:free

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

recursive/flint-v1.0:free is Recursive’s open-weight mixture-of-experts model for coding agents. Recursive describes text generation, reasoning, and multi-turn tool use, combining a large total parameter count with a small active-parameter fraction per token. Its developer-reported release evaluations focus on agentic software work. OpenRouter lists mandatory reasoning and a long context configuration for this exact free variant, while the available evidence remains limited to catalog and developer materials.[1][2]

Strengths

  • Recursive positions it for agentic software tasks such as investigating codebases, fixing bugs, implementing features, and writing tests.[2]
  • The MoE design uses a small active-parameter fraction per token while retaining a much larger total parameter count.[2]
  • The model documentation describes reasoning, multi-turn and OpenAI-compatible tool calls, a long context configuration, and an Apache 2.0 checkpoint release.[2]

Limitations

  • OpenRouter marks reasoning as mandatory; Recursive cautions that long reasoning can add latency or exhaust the output budget before completion.[1][2]
  • The developer warns that code and tool actions may be incorrect, harmful, or unsafe, so testing, review, permissions, and execution boundaries remain necessary.[2]
  • The supplied evidence comes only from OpenRouter and Recursive’s own documentation, so independent and workload-specific validation is still needed, including for the chosen checkpoint and runtime.[1][2]

Where to use it

  • Consider it for coding agents that inspect repositories, patch defects, implement scoped features, or draft tests.[2]
  • It may fit development assistants that need explicit reasoning plus OpenAI-compatible, multi-turn tool calls.[1][2]
  • Evaluate it for long-context repository investigation or code-change planning, with accuracy checked at the actual prompt and output lengths.[2]

Sources

  1. [1] OpenRouter catalog · Recursive: Flint (free)Sources checked: Nov 13, 2026
  2. [2] Model documentation · Recursive: Flint (free)Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Flint is an open-weight mixture-of-experts model from Recursive, with about 2.5B active parameters out of 40B total, built by Recursive's autoresearch system Eureka Machine for coding agents. It is suited...

Specifications

Model ID
recursive/flint-v1.0:free
Canonical ID
recursive/flint-v1.0-20261021
Creator
recursive
Added to OpenRouter
21.10.2026
Context length
262,144
Modality
text->text
Input modalities
text
Output modalities
text
Token pricing
USD per 1M tokens: in $0 / out $0
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurementreasoning: mandatory · parameters: include_reasoning, reasoning
CodingNo measurement—
AgentsNo measurementparameters: tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: mandatory · parameters: include_reasoning, reasoning
Document analysisNo measurement—
VisionNo measurement—
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Recursivebf16262,144$0$0——100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.