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Gemini 1.5 Pro

Google Proprietary Official website
Vibe Coding Index
Quality
VCI
Price
$/M blended

Suite radar

Radar hidden — some suite scores are unverified.

Suite scores

Intelligence
General reasoning & knowledge (Intelligence Index)
Coding
Code generation & software tasks (Coding Index)
24
Agentic
Multi-step tool use & agentic workflows (Agentic Index)

TheVibeFather rankings

Gemini 1.5 Pro practical agentic coding scorecard

This is our algorithmic assessment of where Gemini 1.5 Pro 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.

Overall VibeFather rating
/10
Practical area

Small, well-defined code changes

Partial inputs

Precision on scoped edits, fixes, and implementation tasks.

Unverified
Field rank Unranked

UI and CSS iteration

Partial inputs

Front-end implementation with iterative tool-driven refinement.

Unverified
Field rank Unranked

Routine debugging

Partial inputs

Diagnosing failures and turning reasoning into correct code changes.

Unverified
Field rank Unranked

Repository-wide refactors

Partial inputs

Coordinating larger edits across files while preserving intent.

Unverified
Field rank Unranked

Architecture decisions

Partial inputs

Reasoning through tradeoffs, constraints, and system-level choices.

Unverified
Field rank Unranked

Tool use and workflow execution

Partial inputs

Planning and completing multi-step work with tools and feedback loops.

Unverified
Field rank Unranked

Long autonomous coding tasks

Partial inputs

Sustaining coherent progress across longer agentic engineering runs.

Unverified
Field rank Unranked

Overall VibeFather rating

Partial inputs

Our complete Vibe Coding Index, expressed on the same 0–10 practical scale.

Unverified
Field rank Unranked
1 · Sourced signals

We start with Intelligence, Coding, Agentic benchmark evidence and preserve missing values as unverified.

2 · Practical lenses

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.

3 · Field ranking

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 Gemini 1.5 Pro sits

Its logo stays full-color and highlighted while the rest of the field recedes for quick comparison.

↖ Best value Premium ↗ ↙ Budget Poor value ↘ 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 $0.01 $0.03 $0.1 $0.32 $1 $3.16 $10 $31.62 BLENDED COST — $ / 1M TOKENS (LOG) VIBE CODING INDEX GPT-5.6 Sol GPT-5.6 Terra Grok 4.5 GPT-5.6 Luna GLM-5.2 Qwen3.7 Max MiniMax-M3 DeepSeek V4 Flash Nemotron 3 Ultra 550B A55B
Efficient frontier 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

Gemini 1.5 Pro for vibe coding and agentic engineering

Answers update from this model’s current sourced scores, practical rankings, and verified pricing.

What is Gemini 1.5 Pro's Vibe Coding Index?

Gemini 1.5 Pro has a Vibe Coding Index of unverified and is not currently ranked 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 Gemini 1.5 Pro rank for vibe coding?

Gemini 1.5 Pro does not yet have enough verified benchmark inputs for a practical vibe coding category rank.

Is Gemini 1.5 Pro good for agentic coding and autonomous tasks?

The agentic coding score for Gemini 1.5 Pro is still partial because one or more required benchmark signals are unverified.

What coding benchmark scores does Gemini 1.5 Pro have?

The current sourced benchmark profile for Gemini 1.5 Pro is Intelligence unverified, Coding 24/100, Agentic unverified. 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 Gemini 1.5 Pro cost for agentic engineering?

The current benchmark uses a 3:1 input-to-output blend of not currently verified. A field price rank will appear when both input and output pricing are verified.

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 Gemini 1.5 Pro.