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code benchmark

Surge AI Coding Quality Leaderboard

Surge AI Coding Quality is a blinded human evaluation of model coding outputs by professional annotators using a 1-5 point scale.

Updated Oct 23, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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Surge AI Coding Quality Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAMistral Large 4Mistral AIScore3.74 pointsPercentile100.00%Participants1EvidenceCEvaluatedOct 22, 2026

Surge AI Coding Quality Highlights

The leading models and scores on this benchmark.

Rank #1Mistral Large 43.74 points

The Top AI Models for Surge AI Coding Quality

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis surge ai coding quality AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MA
    Mistral AI
    Score
    3.74 points
    Price
    $1.4 input / $4.2 output per 1M tokens

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Surge AI Coding Quality, not total model capability

Selection summary

Best AI Models for Surge AI Coding Quality

Mistral Large 4 currently leads Surge AI Coding Quality with 3.74 points. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

What is Surge AI Coding Quality?

What Surge AI Coding Quality measures and how its scores work.

A code benchmark that evaluates model coding outputs through human ratings with model identities hidden.

It measures coding output quality using a Score in points on a 1-5 scale.

Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.

Family
Surge AI Coding Quality
Modality
text
Primary category
code
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about Surge AI Coding Quality.

Which model scores highest on Surge AI Coding Quality?

Mistral Large 4 is currently ranked first with 3.74 points.

What are the top three models on Surge AI Coding Quality?

The current leaders are Mistral Large 4 (3.74 points).

Which Surge AI Coding Quality model has the lowest official input price?

Mistral Large 4 has the lowest matched official input price at $1.4 input / $4.2 output per 1M tokens.

Which models are fastest among Surge AI Coding Quality results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does Surge AI Coding Quality measure?

It measures coding output quality using a Score in points on a 1-5 scale.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Mistral Large 4
Benchmark rank #1Mistral Large 43.74 points · $1.4 input / $4.2 output per 1M tokens