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gpt-oss-120b

OpenAI·Released Aug 5, 2025Open weights

Updated Oct 8, 11:55 PM ET

Overall score
3.9
Rank #66 overall
Evidence
13 results
36% of scored kinds covered
Context window
131K tokens
From OpenRouter
API price, USD per 1M tokens
$0.037 / $0.17
Input / output · cached input —

The score is on the board's scale (reference average 50, about 15 points per standard deviation), not a percentage.

By domain

Each domain is scored on the same scale as the overall score. Coverage is the share of the domain's kinds of evaluation with a result; it says how much evidence there is, not how good the model is.

Coding#66
-1.0
3 results · 33% coverage
Research and reasoning#66
16.2
3 results · 38% coverage
Professional work#66
-3.2
3 results · 22% coverage
Knowledge and accuracy#66
8.3
3 results · 50% coverage
Human preference
9.6
1 result · 100% coverage

Every result behind the score

The result as the evaluator publishes it, and the reading it gives on the board's scale. A hard evaluation can give a high reading for a modest result; results near 95% or 5% only say "at least" or "at most".

Coding

3 results · -1.0
  • Terminal-Bench 4.0 (AA run)
    Artificial Analysis · high effortNear the floor
    0.0%
    Reading at most 34.5
  • SciCode
    Artificial Analysis · high effort
    34.0%
    Reading 4.6
  • APEX-SWE
    Mercor · high effortCappedNear the floor
    3.3%
    Reading at most -37.8

Research and reasoning

3 results · 16.2

Professional work

3 results · -3.2

Knowledge and accuracy

3 results · 8.3
  • IFBench (AA run)
    Artificial Analysis · high effort
    69.0%
    Reading 39.1
  • AA-LCR
    Artificial Analysis · high effort
    52.0%
    Reading 13.7
  • BullshitBench
    BullshitBench · high effortCappedNear the floor
    3.6%
    Reading at most -106.6

Human preference

1 result · 9.6

Shown, not scored

Composite indices, saturated or older evaluations, evaluations still being checked, and vision, writing and multilingual results. They do not move the score.

No result yet

Scored evaluations this model has not taken. A missing result neither adds nor subtracts.

  • Terminal-Bench 4.0 · Vals AI
  • LiveBench Coding · LiveBench
  • Code Migration · Vals AI
  • ProgramBench · Vals AI
  • Vibe Code Bench · Vals AI
  • Vibe Code Bench 1–100 · Vals AI
  • CyberBench Patch · Vals AI
  • FrontierMath Tiers 1–3 · Epoch AI
  • FrontierMath Tier 4 · Epoch AI
  • LiveBench Reasoning · LiveBench
  • MysteryMechanism · Vals AI
  • Terminal-Bench Science · Vals AI
  • ProofBench · Vals AI
  • Finance Agent · Vals AI
  • Harvey Legal Agent Benchmark · Vals AI
  • MedCode · Vals AI
  • Legal Research Bench · Vals AI
  • Tax Agent Bench · Vals AI
  • EMB · Vals AI
  • LiveBench Data Analysis · LiveBench
  • SimpleQA Verified · Epoch AI
  • LiveBench Language · LiveBench
  • LiveBench Instruction Following · LiveBench
How readings and scores are computed