DeepSeek R1
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DeepSeek R1 practical agentic coding scorecard
This is our algorithmic assessment of where DeepSeek R1 ranks for common vibe coding and agentic engineering workflows. Every stable 0–10 score is calculated consistently from the sourced Intelligence, Coding, and Agentic signals above—never from an unsourced opinion score.
Small, well-defined code changes
Precision on scoped edits, fixes, and implementation tasks.
UI and CSS iteration
Front-end implementation with iterative tool-driven refinement.
Routine debugging
Diagnosing failures and turning reasoning into correct code changes.
Repository-wide refactors
Coordinating larger edits across files while preserving intent.
Architecture decisions
Reasoning through tradeoffs, constraints, and system-level choices.
Tool use and workflow execution
Planning and completing multi-step work with tools and feedback loops.
Long autonomous coding tasks
Sustaining coherent progress across longer agentic engineering runs.
Overall VibeFather rating
Our complete Vibe Coding Index, expressed on the same 0–10 practical scale.
We start with Intelligence, Coding, Agentic benchmark evidence and preserve missing values as unverified.
Our code-controlled algorithm blends the native 0–100 signals by workflow and expresses the result on a stable 0–10 scale. Every required input must be present.
Each workflow score is ranked against every model with comparable evidence, so positions update when the benchmark field changes.
The Vibe Coding Index is TheVibeFather’s code-controlled 0–100 composite for practical coding and agentic capability. Price and adoption are reported independently and never alter quality. Exact weighting remains proprietary; inputs, missing-data behavior, and per-category ranks are disclosed here. Read the benchmark methodology →
Where DeepSeek R1 sits
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Alibaba
Amazon
Anthropic
Cohere
DeepSeek
Google
Inclusionai
Meta Llama
MiniMax
Mistral
Moonshot
NVIDIA
OpenAI
Stepfun
Upstage
Xiaomi
Zhipu
xAI
Hover, tap or focus a model for axis guides · resting dashed lines = medians
19 model(s) hidden — data not yet verified
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Model benchmark FAQ
DeepSeek R1 for vibe coding and agentic engineering
Answers update from this model’s current sourced scores, practical rankings, and verified pricing.
What is DeepSeek R1's Vibe Coding Index?
DeepSeek R1 has a Vibe Coding Index of 15.9/100 and is #64 of 86 in the current field. The index is TheVibeFather's stable composite for practical AI coding, combining independently sourced Intelligence, Coding, and Agentic benchmark signals. Price and adoption are compared separately and never inflate the quality score.
How does DeepSeek R1 rank for vibe coding?
For vibe coding, DeepSeek R1's strongest practical area is Small, well-defined code changes at 2.3/10, ranking #63 of 86 models in TheVibeFather rankings.
Is DeepSeek R1 good for agentic coding and autonomous tasks?
DeepSeek R1 scores 0.8/10 for tool use and workflow execution and 0.6/10 for long autonomous coding tasks. Those categories emphasize the Agentic benchmark signal used for multi-step planning, tool calls, edits, tests, and feedback loops.
What coding benchmark scores does DeepSeek R1 have?
The current sourced benchmark profile for DeepSeek R1 is Intelligence 19/100, Coding 25/100, Agentic 3/100. TheVibeFather converts those 0–100 signals into consistent practical 0–10 workflow scores so models can be compared for real agentic engineering work.
How much does DeepSeek R1 cost for agentic engineering?
The current benchmark uses a 3:1 input-to-output blend of $2.6 per million blended tokens. That places it #65 of 88 by price, where a lower rank number means less expensive.
Are vibe coding, agentic coding, and agentic engineering the same?
They describe overlapping AI-assisted software workflows. Vibe coding emphasizes directing software through intent and iteration; agentic coding emphasizes a model planning and executing multi-step work with tools; agentic engineering is the broader discipline of designing, supervising, and validating those workflows. TheVibeFather benchmarks the shared capabilities behind all three terms on every model page, including DeepSeek R1.