o3-mini_1.0: benchmark scores, price and ranking

o3-mini_1.0 from OpenAI ranks #170 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.7), based on 1 benchmark results captured up to 2026-10-13.

Organisation
OpenAI
Type
Fast / low-cost (flash) model
Open weights
No
Aggregate rank
#170 of 743 (score 50.7)

Across the 1 benchmark where at least ten models are scored, o3-mini_1.0 is in the top 10% on 0 and in the top half on 1.

o3-mini_1.0 benchmark results

o3-mini_1.0 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
SWE-bench Lite30.3%#7 of 20SWE-bench Lite leaderboard2026-10-13

About o3-mini_1.0

o3-mini_1.0 is a smaller, lower-cost model from OpenAI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where o3-mini_1.0 stands

On our aggregate score, o3-mini_1.0 is #170 of 743 ranked models, in the top quarter. Its score is 50.7; the scale is centred on 50, so it sits 0.7 points above the typical model. That beats 77% of the ranked field. Among the 88 ranked OpenAI models it is #23. The next one up is gpt-4-0314 at 50.8. The next one down is GPT-5.1 Codex at 50.7.

o3-mini_1.0, benchmark by benchmark

SWE-bench Lite puts o3-mini_1.0 at 30.3%, #7 of 20. That beats 65% of the models tested, but 26.3 points short of Claude 4 Sonnet (56.7%). The results either side are DeepSeek-V3 (30.7%) and Claude 3.5-Sonnet-20241022 (30.0%). It covers real GitHub issues resolved. The board median is 24.7%, so o3-mini_1.0 is 5.7 points above it. Source: SWE-bench Lite leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: SWE-bench Lite leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works