GPT-4o (2024-08-06)

OpenAI
GPT-4o (2024-08-06) launch post cover

Cost/1M tokens

input
$2.50
cached
$1.25
output
$10.00
Context
128Ktokens
Released
2y ago

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Arena leaderboards and other sourced evaluations appear below; missing scores are not zero.

How it ranks

Against its predecessor, similarly priced models and the models ranked around it.

DeepSWE 1.1

Best pass@1 per model · Higher is better

Not evaluated in DeepSWE 1.1

Arena Text

Best Arena rating per model · Higher is better

Arena #245

  1. 1487
    Kimi K3Similar price
  2. 1487
  3. 1472
    Claude Sonnet 5.5Similar price
  4. 1354
    Command ASimilar price
  5. 1342
    Gemma 3 12BNearby rank
  6. 1338
    GPT-5 NanoNearby rank
  7. 1336
    GPT-4o (2024-08-06)
  8. 1336
    QwQ 32BNearby rank
  9. 1335
    Nova 2 LiteNearby rank

Ahead of 0 of 4 similarly priced models

Arena WebDev

Best Arena rating per model · Higher is better

Not ranked on Arena WebDev yet

Arena Vision

Best Arena rating per model · Higher is better

Arena #134

  1. 1280
    Grok 4.5Similar price
  2. 1280
  3. 1263
    Claude Sonnet 5.5Similar price
  4. 1199
    Mistral Medium 3.5Similar price
  5. 1127
  6. 1121
  7. 1118
    GPT-4o (2024-08-06)
  8. 1113
    Molmo 2 8BNearby rank
  9. 1097

Ahead of 0 of 4 similarly priced models

Arena Search

Best Arena rating per model · Higher is better

Not ranked on Arena Search yet

Arena Document

Best Arena rating per model · Higher is better

Not ranked on Arena Document yet

Agent Arena

Best IPS score per model · Higher is better

Not ranked on Agent Arena yet

FrontierMath-2025-02-28-Private

Best score per model · Higher is better

#54 of 58

  1. 36.9%
  2. 32.4%
    Claude Sonnet 4.6Similar price
  3. 14.1%
    Gemini 2.5 ProSimilar price
  4. 10.3%
  5. 0.3%
    Claude Haiku 3.5Nearby rank
  6. 0.3%
  7. 0.3%
    GPT-4o (2024-08-06)
  8. 0.3%
  9. 0.0%
    Llama 4 ScoutNearby rank

Ahead of 0 of 4 similarly priced models

FrontierMath-Tiers-1-3-v2-Private

Best score per model · Higher is better

#87 of 87

  1. 88.8%
    Claude Sonnet 5.5Similar price
  2. 72.2%
    Kimi K3Similar price
  3. 66.0%
    Grok 4.6Similar price
  4. 59.6%
  5. 6.0%
    GPT-4.1Nearby rank
  6. 0.7%
  7. 0.4%
    GPT-4o (2024-08-06)

Ahead of 0 of 4 similarly priced models

GPQA diamond

Best score per model · Higher is better

#134 of 161

  1. 95.6%
    Claude Sonnet 5.5Similar price
  2. 94.4%
  3. 94.0%
    Grok 4.6Similar price
  4. 93.1%
    Kimi K3Similar price
  5. 51.8%
    Llama 4 ScoutNearby rank
  6. 51.3%
  7. 49.2%
    GPT-4o (2024-08-06)
  8. 49.1%
  9. 49.0%

Ahead of 0 of 4 similarly priced models

OTIS Mock AIME 2024-2025

Best score per model · Higher is better

#143 of 158

  1. 100.0%
    Claude Sonnet 5.5Similar price
  2. 100.0%
    Qwen3.8 Max (0902)Similar price
  3. 97.2%
    Kimi K3Similar price
  4. 95.6%
  5. 7.5%
    Gemma 3 4BNearby rank
  6. 6.9%
  7. 6.4%
    GPT-4o (2024-08-06)
  8. 6.3%
  9. 6.3%

Ahead of 0 of 4 similarly priced models

SimpleQA Verified

Best score per model · Higher is better

#70 of 87

  1. 73.5%
  2. 56.0%
    Grok 4.7Similar price
  3. 50.6%
    Kimi K3Similar price
  4. 46.5%
    Claude Sonnet 5.5Similar price
  5. 30.2%
  6. 29.4%
    GPT-5.4 MiniNearby rank
  7. 26.0%
    GPT-4o (2024-08-06)
  8. 25.4%
    Qwen3.5 PlusNearby rank
  9. 23.8%
    Claude Haiku 5.5Nearby rank

Ahead of 0 of 4 similarly priced models

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

All published scores

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

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