Anthropic / MODEL EVIDENCE

DeepSeek V4.1 Flash / Claude Code

1 benchmarks · 2 observations · 1 sources

Scores at a glance

1 benchmarks · large dot: DeepSeek V4.1 Flash / Claude Code; small dots: closest models where reported

33.3100

DeepSeek V4.1 Flash / Claude Code · xdev-Bench-hard · pass@3 · Kimi K3.1 Pro · internal xdev-bench-hard ↗

1 more reported result

57.1% · DeepSeek V4.1 Flash / Claude Code · xdev-Bench-hard · Average success rate · Kimi K3.1 Pro · internal xdev-bench-hard · Introducing Kimi K3.1 Pro ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

POST-TRAINING / SOURCE DISCLOSURE

What the DeepSeek V4.1 Flash / Flash 1017 report says

The Flash technical report describes a supervised starting stage, reinforcement learning across task domains, then distillation from an ensemble of teachers. It emphasizes synthesized tasks and scalable interactive environments.

  • Supervised fine-tuning
  • Multi-domain reinforcement learning
  • Full-vocabulary on-policy distillation
  • Concatenated routing replay for asynchronous rollouts

The report documents Flash. The 1017 card calls that release a minor update but does not supply a separate complete recipe; these stages should not be assumed to describe every DeepSeek V4.1 variant.

  1. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression ↗

    DeepSeek-AI · 2026

Reports featuring this model

Kimi K3.1 Pro · Kimi →

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. Introducing Kimi K3.1 Pro ↗

    Moonshot AI · 2026

Names used in source tables

DeepSeek V4.1 Flash / Claude Code