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Model profile

o3-pro

OpenAIEstablishedReleased Apr 16, 2025
Data verified
Overall Score
48.33Public #127 of 200Verified #65 of 99
Arena Elo
1242
Eligible category ranks
0of 8
Price (1M tokens)
$20 in / $80 out
API pricing
Speed
27tok/s
Context
200K

Evidence coverage

2 of 321 tracked benchmarks are published. 0 are verified and 2 provisional. 1 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
2 / 321
Verified
0
Provisional
2
Categories with evidence
1 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge2 benchmarks
    Reported
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Low
pro

o3-pro ranks #127 out of 200 models on the public leaderboard with an overall score of 48.33/100. It also ranks #65 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

o3-pro 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.

o3-pro sits inside the o3 family alongside o3, o3-mini. 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.

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 47.8948.66

  1. Aion-2.0
    Aion Labs
    #12448.66
    Aion-2.0 is #124 with a score of 48.66.
    Compare
  2. Mixtral 8x22B Instruct v0.1
    Mistral
    #12548.54
    Mixtral 8x22B Instruct v0.1 is #125 with a score of 48.54.
    Compare
  3. o3-proCurrent model
    OpenAI
    #12748.33
    o3-pro is #127 with a score of 48.33.
  4. Qwen3 Max
    Alibaba
    #12848.16
    Qwen3 Max is #128 with a score of 48.16.
    Compare
  5. o1
    OpenAI
    #12948.1
    o1 is #129 with a score of 48.1.
    Compare
  6. Gemini 2.5 Flash
    Google
    #13048.09
    Gemini 2.5 Flash is #130 with a score of 48.09.
    Compare
  7. o3
    OpenAI
    #13147.89
    o3 is #131 with a score of 47.89.
    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.

No eligible category percentile is available from the published evidence yet.

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
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%2 benchmarksReported56.0
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 Overall1242Not 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.

Knowledge2 benchmarks
Artificial Analysis Intelligence IndexReported
32.5%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-GPQA DiamondReported

Artificial Analysis GPQA Diamond

84.5%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.

o3 Family

Pro

Canonical Entry

o3

Frequently Asked Questions

How does o3-pro perform overall in AI benchmarks?

o3-pro has 2 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is o3-pro good for knowledge and understanding?

o3-pro has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Which sibling models are related to o3-pro?

o3-pro belongs to the o3 family. Related variants on BenchLM include o3, o3-mini.

Does o3-pro have full benchmark coverage on BenchLM?

Not yet. o3-pro 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 o3-pro?

o3-pro 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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