llmboard.aiLeaderboard Center
Overall
Overall RankingOpen Models
Tools
Model DirectoryCompare Models
Capabilities
CodingReasoningMathKnowledgeInstruction Following
Price & Efficiency
Price & ValueCapability vs. PriceRuntime Performance
Modalities
Image GenerationVideo GenerationSpeech ModelsEmbeddings
Core Benchmarks
GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-ProView all benchmarks
Methods
Scoring & Data
393 models668 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll BenchmarksReasoningMath

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai

general benchmark

HumanEvalFIM-Average

Average evaluation of HumanEval Fill-in-the-Middle benchmark variants (single-line, multi-line, random-span) for assessing code infilling capabilities of language models

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • About
  • FAQ

HumanEvalFIM-Average Ranking

Higher score ranks better on this benchmark.

1 rows
Columns

Show columns

01MACodestral-22BMistral AI91.6%100.0%1CAug 11, 2026

HumanEvalFIM-Average Highlights

The leading models and scores on this benchmark.

Rank #1Codestral-22B91.6%

What is HumanEvalFIM-Average?

What HumanEvalFIM-Average measures and how its scores work.

Average evaluation of HumanEval Fill-in-the-Middle benchmark variants (single-line, multi-line, random-span) for assessing code infilling capabilities of language models

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

Family
HumanEvalFIM-Average
Modality
text
Primary category
general
Score direction
higher
LLMBoard eligible
No
Evaluation key
humanevalfim-average|llm-stats-current

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

FAQ

Common questions about HumanEvalFIM-Average.

Which model scores highest on HumanEvalFIM-Average?

Codestral-22B is currently ranked first with 91.6%.

What does HumanEvalFIM-Average measure?

Average evaluation of HumanEval Fill-in-the-Middle benchmark variants (single-line, multi-line, random-span) for assessing code infilling capabilities of language models

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.