Model comparison
Inkling vs o1-pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Inkling #17; o1-pro unranked
BenchAlign evidence: Inkling not scored; o1-pro estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Inkling and o1-pro share 1 comparable benchmark result. 1 of 8 categories are comparable. 15 results are unique to Inkling; 1 to o1-pro.
Updated July 15, 2026- Shared results
- 1
- Inkling only
- 15
- o1-pro only
- 1
- Comparable categories
- 1 / 8
Pick Inkling if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Inkling is clearly ahead on the provisional aggregate, 69 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $1.87 input / $4.68 output per 1M tokens for Inkling. That is roughly 128.2x on output cost alone. o1-pro is the reasoning model in the pair, while Inkling 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. Inkling gives you the larger context window at 1M, compared with 200K for o1-pro.
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 | Inkling | Δ | o1-pro |
|---|---|---|---|
| Knowledge | Inkling51.7 | Margin→ 27.3 | o1-pro79.0 |
| Agentic | Inkling69.4 | MarginNo overlap | o1-proNot measured |
| Coding | Inkling68.6 | MarginNo overlap | o1-proNot measured |
| Math | Inkling97.1 | MarginNo overlap | o1-proNot measured |
| Multimodal | Inkling76.5 | MarginNo overlap | o1-proNot measured |
| Inst. Following | Inkling79.8 | MarginNo overlap | o1-proNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 87.9%B 79%Winner: InklingΔ 8.9GPQA: Inkling scored 87.9%; o1-pro scored 79%. Inkling wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Inkling | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Inkling$1.87 input / $4.68 output | o1-pro$150 input / $600 output | Inkling has the lower combined listed price. |
| Generation speedtokens per second | InklingNot available | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | InklingNot available | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Inkling1M | o1-pro200K | Inkling lists the larger context window. |
Benchmark Deep Dive
Frequently Asked Questions (2)
Which is better, Inkling or o1-pro?
Inkling is ahead on BenchLM's provisional leaderboard, 69 to 31. The biggest single separator in this matchup is GPQA, where the scores are 87.9% and 79%.
Which is better for knowledge tasks, Inkling or o1-pro?
o1-pro has the edge for knowledge tasks in this comparison, averaging 79 versus 51.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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