GPT-5.2: Price, Context, Benchmarks, and Release Details

OpenAI · first seen Oct 8, 2026 · score computed Oct 9, 2026, 01:09 UTC
65.9
SI Score (method si-v3-retained-evidence-2)
#33 of 140 ranked
100% confidence 100 percent, Full confidence — 8 of 9 expected sources in
Coverage 95% of expected source weight · 100% confidence at 80% coverage

Pillar breakdown

Coding (weight 40 percent) 60.1
Math (weight 15 percent) 75.8
Preference (weight 15 percent) 74.3
Reasoning (weight 30 percent) 67.4

Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.

Facts

Input price / 1M
$1.75models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://platform.openai.com/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; openai/gpt-5.2 Retrieved Oct 9, 2026 · MIT
Open source ↗
Output price / 1M
$14.00models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://platform.openai.com/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; openai/gpt-5.2 Retrieved Oct 9, 2026 · MIT
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Context window
400Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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Max output
128Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Released
Dec 11, 2025OpenAI API changelogPublished source fact Retrieved Oct 9, 2026 · factual citation
Open source ↗
Open weights
Nomodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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License
not yet reported
Input modalities
text, imagemodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
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Benchmark results

56 results
Benchmark Raw result Normalized (0–100) Pillar
arc agi v1 public eval 90.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-highPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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90.3 reasoning
arc agi v1 public eval 65.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-lowPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
Open source ↗
65.9 reasoning
arc agi v1 public eval 80.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-mediumPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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80.6 reasoning
arc agi v1 public eval 16.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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16.5 reasoning
arc agi v1 public eval 95%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-xhighPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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95.0 reasoning
arc agi v1 semi private 78.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-highPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
Open source ↗
78.7 reasoning
arc agi v1 semi private 55.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-lowPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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55.7 reasoning
arc agi v1 semi private 72.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-mediumPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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72.7 reasoning
arc agi v1 semi private 12.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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12.3 reasoning
arc agi v1 semi private 86.2%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-xhighPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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86.2 reasoning
arc agi v2 public eval 39.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-highPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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39.9 reasoning
arc agi v2 public eval 8.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-lowPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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8.3 reasoning
arc agi v2 public eval 27.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-mediumPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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27.6 reasoning
arc agi v2 public eval 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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0.0 reasoning
arc agi v2 public eval 59.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-xhighPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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59.8 reasoning
arc agi v2 semi private 43.3%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-highPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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43.3 reasoning
arc agi v2 semi private 9.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-lowPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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9.7 reasoning
arc agi v2 semi private 26.7%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-mediumPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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26.7 reasoning
arc agi v2 semi private 0.8%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-nonePublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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0.8 reasoning
arc agi v2 semi private 52.9%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-5-2-2025-12-11-thinking-xhighPublished Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
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52.9 reasoning
frontiermath tier 4 v2 31.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] xhighPublished Jun 11, 2026 Retrieved Oct 9, 2026 · CC-BY
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31.7 math
frontiermath tiers 1 3 v2 67.4%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] xhighPublished Jun 11, 2026 Retrieved Oct 9, 2026 · CC-BY
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67.4 math
gpqa diamond 88.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Dec 11, 2025 Retrieved Oct 9, 2026 · CC-BY
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88.2 reasoning
gpqa diamond 82.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Dec 11, 2025 Retrieved Oct 9, 2026 · CC-BY
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82.7 reasoning
gpqa diamond 87.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] mediumPublished Dec 11, 2025 Retrieved Oct 9, 2026 · CC-BY
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87.9 reasoning
gpqa diamond 73.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] nonePublished Jul 13, 2026 Retrieved Oct 9, 2026 · CC-BY
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73.2 reasoning
gpqa diamond 91.4%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] xhighPublished Dec 13, 2025 Retrieved Oct 9, 2026 · CC-BY
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91.4 reasoning
hle scale 27.8%Humanity’s Last ExamPotential contamination warning: This model was evaluated after the public release of HLE, allowing model builder access to the prompts and solutions. [variant] Published Dec 15, 2025 Retrieved Oct 9, 2026 · factual citation
Open source ↗
27.8 reasoning
livebench coding code completion 2026_06_25 76.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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76.1 coding
livebench coding code generation 2026_06_25 76.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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76.1 coding
livebench coding javascript 2026_06_25 59.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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59.1 coding
livebench coding python 2026_06_25 55%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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55.0 coding
livebench coding typescript 2026_06_25 36.7%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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36.7 coding
livebench math amps hard 2026_06_25 97%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
Open source ↗
97.0 math
livebench math integrals with game 2026_06_25 92%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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92.0 math
livebench math math comp 2026_06_25 95.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
Open source ↗
95.1 math
livebench math olympiad 2026_06_25 88.6%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
Open source ↗
88.6 math
livebench math simplify 2026_06_25 54.1%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
Open source ↗
54.1 math
livebench reasoning connections 2026_06_25 99%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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99.0 reasoning
livebench reasoning consecutive events 2026_06_25 88.9%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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88.9 reasoning
livebench reasoning logic with navigation 2026_06_25 74%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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74.0 reasoning
livebench reasoning spatial 2026_06_25 96%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
Open source ↗
96.0 reasoning
livebench reasoning theory of mind 2026_06_25 78.8%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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78.8 reasoning
livebench reasoning zebra puzzle 2026_06_25 84%LiveBenchLiveBench subtask result; dataset edition 2026_06_25; publication time is HTTP Last-Modified of the score CSV, not the dataset edition or individual evaluation date [variant] 2026_06_25Published Oct 7, 2026 Retrieved Oct 9, 2026 · factual citation; Apache-2.0 code
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84.0 reasoning
lmarena text 1412.3 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026 Retrieved Oct 9, 2026 · CC-BY-4.0
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74.3 preference
otis mock aime 2024 2025 96.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Dec 11, 2025 Retrieved Oct 9, 2026 · CC-BY
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96.1 math
otis mock aime 2024 2025 78.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] lowPublished Dec 11, 2025 Retrieved Oct 9, 2026 · CC-BY
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78.9 math
otis mock aime 2024 2025 93.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] mediumPublished Dec 11, 2025 Retrieved Oct 9, 2026 · CC-BY
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93.9 math
otis mock aime 2024 2025 62.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] nonePublished Jul 13, 2026 Retrieved Oct 9, 2026 · CC-BY
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62.2 math
otis mock aime 2024 2025 96.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] xhighPublished Dec 13, 2025 Retrieved Oct 9, 2026 · CC-BY
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96.1 math
swe bench pro public 29.9%Official model cards via models.devLab-reported; metric resolve rate; transcribed by MIT models.dev catalog; not independently evaluated [variant] public Retrieved Oct 9, 2026 · factual citation; MIT transcription
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29.9 coding
swe bench pro public 29.9%SWE-bench Pro (public)Published steward score [variant] Published Jan 27, 2026 Retrieved Oct 9, 2026 · factual citation
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29.9 coding
swe bench verified 73.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] highPublished Feb 12, 2026 Retrieved Oct 9, 2026 · CC-BY
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73.8 coding
swe bench verified 69%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] mini-SWE-agent; 1.17.2Published Dec 11, 2025 Retrieved Oct 9, 2026 · factual citation
Open source ↗
69.0 coding
swe bench verified 71.8%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] mini-SWE-agent; high; 1.17.2Published Dec 11, 2025 Retrieved Oct 9, 2026 · factual citation
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71.8 coding
swe bench verified 72.8%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] mini-SWE-agent; high; 2.0.0Published Feb 17, 2026 Retrieved Oct 9, 2026 · factual citation
Open source ↗
72.8 coding

Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.

Sources: in and pending

in Reported (8)

  • ARC Prize · arrived Oct 8, 2026
  • Epoch AI Benchmarking · arrived Oct 8, 2026
  • Humanity’s Last Exam · arrived Oct 8, 2026
  • Official model cards via models.dev · arrived Oct 8, 2026
  • LiveBench · arrived Oct 8, 2026
  • LMArena / Arena · arrived Oct 8, 2026
  • SWE-bench Verified · arrived Oct 8, 2026
  • SWE-bench Pro (public) · arrived Oct 8, 2026

pending Awaiting (1)

  • Terminal-Bench · carries 5% of expected weight

The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.