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Model profile

GPT-4 Turbo

OpenAIEstablishedReleased Nov 6, 2023
Data verified
Overall Score
27.44Public #188 of 200Verified #87 of 99
Arena Elo
1160
Eligible category ranks
1of 8
Price (1M tokens)
$10 in / $30 out
API pricing
Speed
30tok/s
Context
128K

Evidence coverage

4 of 321 tracked benchmarks are published. 0 are verified and 4 provisional. 2 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
4 / 321
Verified
0
Provisional
4
Categories with evidence
2 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding2 benchmarks
    Reported
  • Reasoning0 benchmarks
    Not measured
  • Knowledge2 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryNon-Reasoning
Confidence:
Low
base

GPT-4 Turbo ranks #188 out of 200 models on the public leaderboard with an overall score of 27.44/100. It also ranks #87 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

GPT-4 Turbo is a proprietary model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 4 of 321 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Coding (#118). This performance profile makes it particularly well-suited for software development and code generation tasks.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 21.3927.44

  1. GPT-4 TurboCurrent model
    OpenAI
    #18827.44
    GPT-4 Turbo is #188 with a score of 27.44.
  2. Kimi K2
    Moonshot AI
    #18927.19
    Kimi K2 is #189 with a score of 27.19.
    Compare
  3. MiniMax M1 80k
    MiniMax
    #19025.12
    MiniMax M1 80k is #190 with a score of 25.12.
    Compare
  4. Llama 4 Maverick
    Meta
    #19123.49
    Llama 4 Maverick is #191 with a score of 23.49.
    Compare
  5. Phi-4
    Microsoft
    #19222.69
    Phi-4 is #192 with a score of 22.69.
    Compare
  6. Gemini 1.0 Pro
    Google
    #19321.78
    Gemini 1.0 Pro is #193 with a score of 21.78.
    Compare
  7. Claude 3 Haiku
    Anthropic
    #19421.39
    Claude 3 Haiku is #194 with a score of 21.39.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

  1. Coding3%
    Eligible cohort rank #118 of 122Category score 30.7

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingRank #118 of 122Percentile 3rdWeight 20%2 benchmarksReported30.7
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%2 benchmarksReported54.4
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1160Not availableNot available

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Coding2 benchmarks
AA Coding IndexReported

Artificial Analysis Coding Index

21.5%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-SciCodeReported

Artificial Analysis SciCode

31.9%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
Knowledge2 benchmarks
Artificial Analysis Intelligence IndexReported
7.9%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.
AA-HLEReported

Artificial Analysis Humanity's Last Exam

3.3%Display only
Source: Artificial Analysis model benchmarksProvenance: Display-only row synced from the current Artificial Analysis model payload. It is excluded from BenchLM weighted scoring.

Frequently Asked Questions

How does GPT-4 Turbo perform overall in AI benchmarks?

GPT-4 Turbo has 4 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is GPT-4 Turbo good for knowledge and understanding?

GPT-4 Turbo has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is GPT-4 Turbo good for coding and programming?

GPT-4 Turbo ranks #118 out of 122 models in coding and programming benchmarks with an average score of 30.7. There are stronger options in this category.

Does GPT-4 Turbo have full benchmark coverage on BenchLM?

Not yet. GPT-4 Turbo currently has 4 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of GPT-4 Turbo?

GPT-4 Turbo has a published context window of 128K, which determines how much text it can process in a single interaction.

Last updated: July 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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