Reflection 70B is a next-gen open-source LLM, powered by Llama 70B, that features groundbreaking self-correction capabilities, outperforming GPT-4 in various benchmarks.
General Assistantreflection70b.netTracked since 2026-08-211 discovery source
722Backlinks
93Referring domains
21Domain authority
-2.3%Referring domains · 90 days
Authority & distribution
How strong is Reflection 70B’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
722Current snapshot
Referring domains
93Current snapshot
Authority
21Domain authority · category median 22
90-day move
-2.3%Referring domains, last 90 days
At 21, Reflection 70B sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Reflection 70B”
Reflection 70B is a next-gen open-source LLM, powered by Llama 70B, that features groundbreaking self-correction capabilities, outperforming GPT-4 in various benchmarks.
General AssistantSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://reflection70b.net
Observed across 1 discovery source.
Research questions
What the evidence answers about Reflection 70B.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Reflection 70B do and what problem does it solve?
Reflection 70B is an open-source large language model that features self-correction capabilities to improve accuracy and reliability. It uses a 'Reflection-Tuning' methodology to identify and rectify its own reasoning errors in real-time, setting a new standard in AI performance.
What features, surfaces, or integrations does Reflection 70B offer?
Reflection 70B offers an online chat interface for direct interaction, innovative training via 'Reflection-Tuning', real-time error self-correction, seamless compatibility with existing Llama 3.1 tools and pipelines, and benchmark-topping performance on tasks like coding and mathematical reasoning.
How is Reflection 70B priced or packaged?
Reflection 70B is an open-source model that is available for a free online trial. Users can access the chat interface on the website without requiring a sign-up.
What is Reflection 70B used for, and in what situations?
Reflection 70B is used for a wide range of conversational and problem-solving tasks, from simple questions to complex reasoning. It is particularly adept at tasks requiring high precision and is demonstrated to outperform GPT-4 on benchmarks like MMLU, HumanEval, and MATH.
Who is Reflection 70B for?
Reflection 70B is for developers, researchers, and users seeking a powerful, open-source large language model with advanced capabilities. It is built for compatibility with existing tools and pipelines, enhancing productivity without disrupting established systems.
What is Reflection 70B?
Reflection 70B is a next-generation open-source large language model powered by Llama 70B that features groundbreaking self-correction capabilities.
Behind the lock
Unlock full Reflection 70B intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured