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Model profile

o1-preview

OpenAISupersededReleased Sep 12, 2024
Data verified
Superseded:OpenAI has released newer models in this line —o1
Overall Score
49.11Public #123 of 200Verified #64 of 99
Arena Elo
1388
Eligible category ranks
1of 8
Price (1M tokens)
$15 in / $60 out
API pricing
Speed
Not listed
Context
200K

Evidence coverage

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

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

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding1 benchmark
    Reported
  • Reasoning0 benchmarks
    Not measured
  • Knowledge1 benchmark
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Low
snapshot

o1-preview ranks #123 out of 200 models on the public leaderboard with an overall score of 49.11/100. It also ranks #64 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

o1-preview is a proprietary model with a 200K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

o1-preview sits inside the o1 family alongside o1, o1-pro. This profile currently has 2 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 (#79). 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 48.5449.89

  1. DeepSeekMath V2
    DeepSeek
    #11949.89
    DeepSeekMath V2 is #119 with a score of 49.89.
    Compare
  2. Qwen2.5-1M
    Alibaba
    #12049.89
    Qwen2.5-1M is #120 with a score of 49.89.
    Compare
  3. Seed-2.0-Lite
    ByteDance
    #12149.84
    Seed-2.0-Lite is #121 with a score of 49.84.
    Compare
  4. Ministral 3 14B (Reasoning)
    Mistral
    #12249.34
    Ministral 3 14B (Reasoning) is #122 with a score of 49.34.
    Compare
  5. o1-previewCurrent model
    OpenAI
    #12349.11
    o1-preview is #123 with a score of 49.11.
  6. Aion-2.0
    Aion Labs
    #12448.66
    Aion-2.0 is #124 with a score of 48.66.
    Compare
  7. Mixtral 8x22B Instruct v0.1
    Mistral
    #12548.54
    Mixtral 8x22B Instruct v0.1 is #125 with a score of 48.54.
    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. Coding36%
    Eligible cohort rank #79 of 122Category score 47.6

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 #79 of 122Percentile 36thWeight 20%1 benchmarkReported47.6
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%1 benchmarkReported60.5
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 Overall1388±5.031,122
Coding1416±9.35,123
Math1386±9.74,569
Instruction Following1381±6.912,782
Creative Writing1365±9.94,508
Multi-turn1390±9.35,871
Hard Prompts1396±7.78,496
Hard Prompts (English)1413±9.54,917
Longer Query1381±9.74,578

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.

Coding1 benchmark
AA Coding IndexReported

Artificial Analysis Coding Index

34.0%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.
Knowledge1 benchmark
Artificial Analysis Intelligence IndexReported
17.0%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.

o1 Family

snapshot · preview

Canonical Entry

o1

Frequently Asked Questions

How does o1-preview perform overall in AI benchmarks?

o1-preview has 2 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is o1-preview good for knowledge and understanding?

o1-preview has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is o1-preview good for coding and programming?

o1-preview ranks #79 out of 122 models in coding and programming benchmarks with an average score of 47.6. There are stronger options in this category.

Which sibling models are related to o1-preview?

o1-preview belongs to the o1 family. Related variants on BenchLM include o1, o1-pro.

Does o1-preview have full benchmark coverage on BenchLM?

Not yet. o1-preview currently has 2 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 o1-preview?

o1-preview has a published context window of 200K, 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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