Model comparison
Gemini 2.5 Pro vs o3-mini
Head-to-head evidence from 7 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 2.5 Pro #75 (Supported); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 2.5 Pro and o3-mini share 7 comparable benchmark results. 2 of 8 categories are comparable. 17 results are unique to Gemini 2.5 Pro; 3 to o3-mini.
Updated July 24, 2026- Shared results
- 7
- Gemini 2.5 Pro only
- 17
- o3-mini only
- 3
- Comparable categories
- 2 / 8
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. o3-mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 3 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemini 2.5 Pro is clearly ahead on the BenchAlign aggregate, 56.66 to 46.59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro's sharpest advantage is in coding, where it averages 63.8 against 49.3. The single biggest benchmark swing on the page is SWE-bench Verified, 63.8% to 49.3%. o3-mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $10.00 output per 1M tokens, versus $1.10 input / $4.40 output per 1M tokens for o3-mini. That is roughly 2.3x on output cost alone. o3-mini is the reasoning model in the pair, while Gemini 2.5 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 200K for o3-mini.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Gemini 2.5 Pro | Δ | o3-mini |
|---|---|---|---|
| Knowledge | Gemini 2.5 Pro27.4 | Margin→ 49.8 | o3-mini77.2 |
| Coding | Gemini 2.5 Pro63.8 | Margin← 14.5 | o3-mini49.3 |
| Math | Gemini 2.5 Pro11.6 | MarginNo overlap | o3-miniNot measured |
| Inst. Following | Gemini 2.5 ProNot measured | MarginNo overlap | o3-mini93.9 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 63.8%B 49.3%Winner: Gemini 2.5 ProΔ 14.5SWE-bench Verified: Gemini 2.5 Pro scored 63.8%; o3-mini scored 49.3%. Gemini 2.5 Pro wins this benchmark. - Source ↗
GPQA
KnowledgeA 83%B 77.2%Winner: Gemini 2.5 ProΔ 5.8GPQA: Gemini 2.5 Pro scored 83%; o3-mini scored 77.2%. Gemini 2.5 Pro wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 2.5 Pro | o3-mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 2.5 Pro$1.25 input / $10 output | o3-mini$1.1 input / $4.4 output | o3-mini has the lower combined listed price. |
| Generation speedtokens per second | Gemini 2.5 Pro117 tok/s | o3-mini160 tok/s | o3-mini has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemini 2.5 Pro21.19 s | o3-mini7.12 s | o3-mini reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemini 2.5 Pro1M | o3-mini200K | Gemini 2.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
CodingGemini 2.5 Pro wins4 benchmarks
Reasoning2 benchmarks
Knowledgeo3-mini wins9 benchmarks
| Benchmark | Gemini 2.5 Pro | o3-mini | Result |
|---|---|---|---|
| GPQASource | 83% | 77.2% | Gemini 2.5 Pro leads |
| HLESource | 18.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 25.8% | 19.0% | Gemini 2.5 Pro leads |
| AA-GPQA DiamondSource | 84.4% | 74.8% | Gemini 2.5 Pro leads |
| AA-HLESource | 21.1% | 8.7% | Gemini 2.5 Pro leads |
| AA-Omniscience IndexSource | -14.3% | — | Not comparable |
| AA-Omniscience AccuracySource | 39.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 87.4% | — | Not comparable |
| MMLUSource | — | 86.9% | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Which is better, Gemini 2.5 Pro or o3-mini?
Gemini 2.5 Pro is ahead on BenchLM's BenchAlign leaderboard, 56.66 to 46.59. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 49.3%.
Which is better for knowledge tasks, Gemini 2.5 Pro or o3-mini?
o3-mini has the edge for knowledge tasks in this comparison, averaging 77.2 versus 27.4. Inside this category, AA-HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Gemini 2.5 Pro or o3-mini?
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 63.8 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.